Journal articles on the topic 'Information storage and retrieval systems Design Methodology'
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Ohe, K., T. Sakurai, T. Nagase, S. Kaihara, and C. Wang. "Object-oriented Analysis and Design of an ECG Storage and Retrieval System Integrated with an HIS." Methods of Information in Medicine 35, no. 01 (January 1996): 35–40. http://dx.doi.org/10.1055/s-0038-1634636.
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AbstractFor a hospital information system, object-oriented methodology plays an increasingly important role, especially for the management of digitized data, e.g., the electrocardiogram, electroencephalogram, electromyogram, spirogram, X-ray, CT and histopathological images, which are not yet computerized in most hospitals. As a first step in an object-oriented approach to hospital information management and storing medical data in an object-oriented database, we connected electrocardiographs to a hospital network and established the integration of ECG storage and retrieval systems with a hospital information system. In this paper, the object-oriented analysis and design of the ECG storage and retrieval systems is reported.
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Bergman, Ofer, Steve Whittaker, and Yaron Frishman. "Let’s get personal: the little nudge that improves document retrieval in the Cloud." Journal of Documentation 75, no. 2 (March 6, 2019): 379–96. http://dx.doi.org/10.1108/jd-06-2018-0098.
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Purpose State-of-the-art cloud applications are problematic for collaborative document management; their current design does not encourage active personal folder categorization. Cloud applications such as Google Drive and Microsoft’s OneDrive store documents automatically, so at no point are users directed to categorize them by placing them in folders. To encourage active categorization and promote effective retrieval of cloud documents, the authors designed an add-on “nudge” called Personal Organizer which prompts Google Drive users to categorize by storing cloud documents in personal folders. The add-on prompt is triggered when users attempt to close uncategorized or unnamed documents. The purpose of this paper is to test whether using the Personal Organizer add-on leads participants to actively store their documents in folders that they personally created, and whether this promotes more successful and efficient retrieval. Design/methodology/approach To test the add-on, the authors conducted a pretest-manipulation-post-test intervention study with 34 participants lasting over three months. In both tests, participants were asked to retrieve personal documents taken from their own “Recents” list to improve ecological validity. Findings Using our add-on doubled the percentage of documents that were actively stored in folders. Additionally, using personally created folders substantially improved retrieval success while decreasing retrieval time. Originality/value Implementing our findings can improve document storage and retrieval for millions of users of collaborative cloud storage. The authors discuss broader theoretical implications concerning the role of active organization for retrieval in collaborative repositories, as well as design implications.
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Han, Yan. "Cloud storage for digital preservation: optimal uses of Amazon S3 and Glacier." Library Hi Tech 33, no. 2 (June 15, 2015): 261–71. http://dx.doi.org/10.1108/lht-12-2014-0118.
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Purpose – The purpose of this paper is to use cloud storage in digital preservation by analyzing the pricing and data retrieval models. The author recommends strategies to minimize the costs and believes cloud storage is worthy of serious consideration. Design/methodology/approach – Few articles have been published to show the uses of cloud storage in libraries. The cost is the main concern. An overview of cloud storage pricing shows a price drop once every one or one-and-a-half years. The author emphasize the data transfer-out costs and demonstrate a case study. Comparisons and analysis of S3 and Glacier have been conducted to show the differences in retrieval and costs. Findings – Cloud storage solutions like Glacier can be very attractive for long-term digital preservation if data can be operated within the provider’s same data zone and data transfer-out can be minimized. Practical implications – Institutions can benefit from cloud storage by understanding the cost models and data retrieval models. Multiple strategies are suggested to minimize the costs. Originality/value – The paper is intended to bridge the gap of uses of cloud storage. Cloud storage pricing especially data transfer-out pricing charts are presented to show the price drops over the past eight years. Costs and analysis of storing and retrieving data in Amazon S3 and Glacier are discussed in details. Comparisons of S3 and Glacier show that Glacier has uniqueness and advantages over other cloud storage solutions. Finally strategies are suggested to minimize the costs of using cloud storage. The analysis shows that cloud storage can be very useful in digital preservation.
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Heinrich, Helen, and Eric Willis. "Automated storage and retrieval system: a time-tested innovation." Library Management 35, no. 6/7 (August 5, 2014): 444–53. http://dx.doi.org/10.1108/lm-09-2013-0086.
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Purpose – The purpose of this paper is to examine the ongoing life cycle of the world's first library Automated Storage and Retrieval System (ASRS) at the Oviatt Library at the California State University, Northridge (CSUN). Born from the pilot project at the California State University Chancellor's Office, CSUN's ASRS was inaugurated in 1991 and cost over $2,000,000 to implement. It survived a devastating 6.8 Northridge earthquake and protected the collection housed within. Almost 20 years later the CSUN ASRS underwent a major renovation of hardware. With the changing concept of library as space and the construction of Learning Commons at the Oviatt, the demand for ASRS capacity is higher than ever. Design/methodology/approach – In addition to the history and overview, the paper explores the major aspects of ASRS administration: specifications of storage layout and arrangement of the materials, collection policy for storing materials, communication of retrieval requests and ASRS interface and compatibility with successive Integrated Library Systems. Findings – The first ASRS served as proof of concept that a library collection does not lose its effectiveness when low-circulating materials are removed from the open stacks. Furthermore, with the changing concept of library as space and the construction of Learning Commons at the Oviatt, the provision of the nimble, just-in-time collection becomes paramount, and the demand for ASRS increases exponentially. Practical implications – Administrators and librarians who consider investing in ASRS will learn about the principles of storage organization, imperatives and challenges of its conception and long-term management on the example of CSUN. Originality/value – The paper carries unique qualities as it describes the formation and evolution of the world's first library ASRS. The visionary undertaking not only withstood the test of time and nature, it continues to play a pivotal role in Oviatt Library's adaption to the new generation of users’ demands and expectations.
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Chamtitigul, Nattaya, and Weining Li. "The influence of ethical leadership and team learning on team performance in software development projects." Team Performance Management: An International Journal 27, no. 3/4 (February 8, 2021): 240–59. http://dx.doi.org/10.1108/tpm-02-2020-0014.
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Purpose The purpose of this paper is to examine the effect of team learning processes (information acquisition, information processing and information storage and retrieval) on team performance in software development projects and to assess the effect of ethical leadership and its influence on these processes. Design/methodology/approach The authors examined 354 software development project teams in Thailand. A quantitative study was conducted through a Web-based survey, with structural equation modelling used to test the hypotheses. Findings The results of this study revealed that ethical leadership is positively correlated with the team learning processes of information acquisition, information processing and information storage and retrieval. However, only information processing and information storage and retrieval are positively related to team performance. The results indicate that ethical leadership has a positive direct effect on team performance. The results also show that the positive relationship between ethical leadership and team performance is partially mediated by team learning processes, namely, information processing and information storage and retrieval. Research limitations/implications This study highlights the importance of ethical leadership and guides managers towards considering the characteristics of both ethical leadership and team learning processes for enhancing team performance in software development projects. Originality/value This is the first study to the best of authors’ knowledge to examine the role of team learning processes in mediating the relationship between ethical leadership and team performance, particularly concerning software development projects. The present research contributes to the literature on team performance management, emphasising the manner in which ethical leadership can result in team learning and team performance. The findings of this study can be used to encourage organisations to develop ethical leadership behaviours and team learning processes in software development projects.
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Tsai, Chih-Fong, Shih-Wen Ke, Kenneth McGarry, and Ming-Yi Lin. "LocalContent: a personal scientific document retrieval system." Electronic Library 33, no. 3 (June 1, 2015): 373–85. http://dx.doi.org/10.1108/el-08-2013-0148.
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Purpose – The purpose of this paper is to introduce a novel personal scientific document retrieval system. The most common approach taken for the storage of personal documents is to construct a hierarchical folder structure. Most users prefer searching for documents by manually traversing their organizational hierarchy until reaching the location where the target item is stored, then locating the specific documents within its directory or folder. However, this is very time-consuming, especially when the number of personal scientific documents is very large. Unfortunately, related personal information management (PIM) systems, which provide solutions for managing various types of personal information, have thus far made little progress at managing personal scientific documents. Design/methodology/approach – In this paper, we introduce the design of a personal scientific document retrieval system, namely, LocalContent. It is composed of database indexing and retrieval stages. During indexing, term feature extraction from scientific documents is performed by the natural language processing technique. The extracted terms are stored in the inverted index for later retrieval. For retrieval, a graphical user interface is provided by LocalContent, which allows users to search their personal scientific documents. Findings – The evaluation results based on 20 different personal archives taken from 20 graduate students show that LocalContent is simple to use and can facilitate the search for relevant scientific documents. Moreover, these users were willing to have a system which provides specialized search functions like LocalContent to explore their personal scientific documents in the future. Originality/value – LocalContent is a novel scientific document retrieval system and provides several particular functions of LocalContent including displaying the content summary of the query term frequency in each specific section of the retrieved documents, querying by local section specification and providing a number of recommended keywords related to the query terms.
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Sgarbossa, Fabio, Martina Calzavara, and Alessandro Persona. "Throughput models for a dual-bay VLM order picking system under different configurations." Industrial Management & Data Systems 119, no. 6 (July 8, 2019): 1268–88. http://dx.doi.org/10.1108/imds-11-2018-0518.
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Purpose Vertical lift module (VLM) is a parts-to-picker system for order picking of small products, which are stored into two columns of trays served by a lifting crane. A dual-bay VLM order picking (dual-bay VLM-OP) system is a particular solution where the operator works in parallel with the crane, allowing higher throughput performance. The purpose of this paper is to define models for different operating configurations able to improve the total throughput of the dual-bay VLM-OP system. Design/methodology/approach Analytical models are developed to estimate the throughput of a dual-bay VLM-OP. A deep evaluation has been carried out, considering different storage assignment policies and the sequencing retrieval of trays. Findings A more accurate estimation of the throughput is demonstrated, compared to the application of previous models. Some use guidelines for practitioners and academics are derived from the analysis based on real data. Originality/value Differing from previous contributions, these models include the acceleration/deceleration of the crane and the probability of storage and retrieve of each single tray. This permits to apply these models to different storage assignment policies and to suggest when these policies can be profitably applied. They can also model the sequencing retrieval of trays.
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Hor, A. H., G. Sohn, P. Claudio, M. Jadidi, and A. Afnan. "A SEMANTIC GRAPH DATABASE FOR BIM-GIS INTEGRATED INFORMATION MODEL FOR AN INTELLIGENT URBAN MOBILITY WEB APPLICATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (September 19, 2018): 89–96. http://dx.doi.org/10.5194/isprs-annals-iv-4-89-2018.
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<p><strong>Abstract.</strong> Over the recent years, the usage of semantic web technologies and Resources Description Framework (RDF) data models have been notably increased in many fields. Multiple systems are using RDF data to describe information resources and semantic associations. RDF data plays a very important role in advanced information retrieval, and graphs are efficient ways to visualize and represent real world data by providing solutions to many real-time scenarios that can be simulated and implemented using graph databases, and efficiently query graphs with multiple attributes representing different domains of knowledge. Given that graph databases are schema less with efficient storage for semi-structured data, they can provide fast and deep traversals instead of slow RDBMS SQL based joins allowing Atomicity, Consistency, Isolation and durability (ACID) transactions with rollback support, and by utilizing mathematics of graph they can enormous potential for fast data extraction and storage of information in the form of nodes and relationships. In this paper, we are presenting an architectural design with complete implementation of BIM-GIS integrated RDF graph database. The proposed integration approach is composed of four main phases: ontological BIM and GIS model’s construction, mapping and semantic integration using interoperable data formats, then an import into a graph database with querying and filtering capabilities. The workflows and transformations of IFC and CityGML schemas into object graph databases model are developed and applied to an intelligent urban mobility web application on a game engine platform validate the integration methodology.</p>
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Zhou, Zikai, and Pilar Pazos. "Empirical perspectives of transactive memory systems: a meta-analysis." Team Performance Management: An International Journal 26, no. 7/8 (August 13, 2020): 409–27. http://dx.doi.org/10.1108/tpm-05-2020-0036.
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Purpose The purpose of this study is to synthesize the previous empirical studies on transactive memory systems (TMS) through a meta-analytical approach and test the proposed model for the relationships between TMS and different types of team outcomes. Design/methodology/approach TMS refers to shared memory systems developed among a group of people for encoding, storage and retrieval of their different knowledge domains. They have been widely used in group or organization settings to describe the cumulative knowledge in a group of multi-disciplinary experts. Previous literature suggests TMS as a critical concept for explaining group performance, but few studies were conducted to integrate the literature findings to identify the relationships between TMS and team outcomes. Findings The findings suggest that TMS is more strongly linked to affective outcomes than behavioral or performance outcomes. In addition, the authors find that the specific operationalization of TMS does not affect the relationship between TMS and team outcomes. There was not enough support for significant effects of group size and research setting on the relationships between TMS and team outcomes, which indicates that both laboratory and field studies have similar potential to generate valuable results for the research of TMS. Originality/value This study contributes to the body of knowledge on team effectiveness by investigating the links between TMS and team effectiveness through a broad definition of outcomes that include tangible constructs, such as performance, as well as behavioral and affective outcomes. By exploring the relationships through this broad conceptualization of team effectiveness, the authors can better understand the particular effects of TMS on different key aspects used to determine success in teams.
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Yang, Chao-Lung, and Thi Phuong Quyen Nguyen. "Constrained clustering method for class-based storage location assignment in warehouse." Industrial Management & Data Systems 116, no. 4 (May 9, 2016): 667–89. http://dx.doi.org/10.1108/imds-09-2015-0361.
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Purpose – Class-based storage has been studied extensively and proved to be an efficient storage policy. However, few literature addressed how to cluster stuck items for class-based storage. The purpose of this paper is to develop a constrained clustering method integrated with principal component analysis (PCA) to meet the need of clustering stored items with the consideration of practical storage constraints. Design/methodology/approach – In order to consider item characteristic and the associated storage restrictions, the must-link and cannot-link constraints were constructed to meet the storage requirement. The cube-per-order index (COI) which has been used for location assignment in class-based warehouse was analyzed by PCA. The proposed constrained clustering method utilizes the principal component loadings as item sub-group features to identify COI distribution of item sub-groups. The clustering results are then used for allocating storage by using the heuristic assignment model based on COI. Findings – The clustering result showed that the proposed method was able to provide better compactness among item clusters. The simulated result also shows the new location assignment by the proposed method was able to improve the retrieval efficiency by 33 percent. Practical implications – While number of items in warehouse is tremendously large, the human intervention on revealing storage constraints is going to be impossible. The developed method can be easily fit in to solve the problem no matter what the size of the data is. Originality/value – The case study demonstrated an example of practical location assignment problem with constraints. This paper also sheds a light on developing a data clustering method which can be directly applied on solving the practical data analysis issues.
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Tumuhairwe, Ronald, and Arthur Ahimbisibwe. "Procurement records compliance, effective risk management and records management performance." Records Management Journal 26, no. 1 (March 21, 2016): 83–101. http://dx.doi.org/10.1108/rmj-06-2015-0024.
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Purpose – Procurement records are critical for the effective execution of the procurement process and have been applied as tools to measure compliance and performance of Public Procuring and Disposing Entities (PDEs) by the regulating authority in Uganda – the Public Procurement and Disposal of Assets Authority (PPDA). However, the state of records in various Ugandan PDEs depicts poor records management. This situation has adversely affected the effective creation, usage and storage of public procurement records. This compromises the value and importance of records within the procurement process, with most documents being unavailable and unreliable. The purpose of this study is to investigate the relationship between procurement records compliance, effective risk management and records management performance in Ugandan PDEs. Design/methodology/approach – The study adopted a quantitative research design and used a cross-sectional survey. The researchers developed a questionnaire on the study constructs of procurement records compliance, effective risk management and records management performance using measurement scales derived from previous empirical studies which were modified to suit the current study. Findings – The results indicate quantitative evidence of significant positive relationships between procurement records compliance, effective risk management and records management performance. Findings also reveal that procurement records compliance and effective risk management are significant predictors of record management performance. The results also suggest that effective risk management has a stronger influence on records management performance than that on procurement records compliance. Research limitations/implications – The study context is sub-Saharan Africa, and the findings are, therefore, limited to that context; they reflect existing knowledge in other contexts. The use of a standard questionnaire limited the ability to collect views about information outside the questions asked. The study was only cross-sectional, and the study variables could not be analyzed over a long time. Common methods bias remains a potential threat; future studies should use different source data. Practical implications – Custodians of procurement records, that is, procurement officers, records officers and accounting officers for Ugandan PDEs need to pay special attention to prevailing records laws and policies to minimize risks associated with the poor management of records, as well as improve performance in the management of records creation, storage, retrieval, access and the preservation of vital records. Originality/value – The study contributes to an important area which has not been given attention in the context of sub-Saharan Africa, especially Uganda where there is a difficulty of linking the value of records management to business processes due to a lack of quantitative evidence.
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D. Hall-Ellis, Sylvia. "Accept, coach, and inspire: a formula for success." Bottom Line 27, no. 3 (November 4, 2014): 103–6. http://dx.doi.org/10.1108/bl-06-2014-0020.
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Purpose – Technical services librarians, catalogers and metadata specialists serve as the integral managers of comprehensive integrated systems designed to facilitate the ingestion, annotation, cataloging, storage, retrieval and distribution of organized, discoverable resources. Yet, despite the escalating costs to upgrade integrated library systems, maintain authority control for name and subject heading points of access and create original surrogate records for new library resources, technical services departments did not grow. Design/methodology/approach – The goal of sharing metadata is to reduce the local cost of its creation with minimal changes. However, research suggests that catalogers and metadata specialists review and authenticate the standards-compliant work of others, thus negating the goal of sharing and increasing the cost of building and maintaining online catalogs and discovery tools. How can a library administrator encourage the acceptance of metadata created at other information organizations and make prudent investments to support technical services functions? Findings – There are four strategies that administrators can adopt regarding these issues. Research limitations/implications – All libraries can benefit from considering the four strategies. Practical implications – First, cultivate a robust community of practice within the information organization. Second, recognize the importance of accepting standards-compliant bibliographic metadata with few modifications. Third, provide opportunities for managers to become skilled at coaching their team members. Fourth, inspire confidence. Social implications – Librarianship is a profession that an individual enters through graduate education in library and information science. As a new entrant, an individual becomes of a member of the community of practice and assumes personal responsibility for learning and mastering technical skills and competencies through experience, mentoring, professional development and continued actions (or tasks) comprising activities situated in a library or information environment. Originality/value – This is an original opinion piece.
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Chugh, Mitali, Nitin Chanderwal, Amar Kumar Mishra, and Devendra Kumar Punia. "The effect of knowledge management on perceived software process improvement." VINE Journal of Information and Knowledge Management Systems 49, no. 4 (November 11, 2019): 546–67. http://dx.doi.org/10.1108/vjikms-11-2018-0106.
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Purpose This study aims to present insights on the relationship between perceived software process improvement (PSPI) and information technology (IT)-enabled knowledge management (KM). Moreover, the study provides an understanding of the mediating effect of critical success factors (CSFs) for effective IT-enabled KM on the previously mentioned relationship. Design/methodology/approach The respondents in the study involved employees in the software engineering (SE) organizations in national capital region in India. The structured equation modeling technique carried out through IBM.SPSS.Amos.v21-EQUiNOX was used to develop and evaluate the proposed framework. The proposed hypothesis testing has been carried out by path analysis using SPSS process macro. Findings The findings of the empirical study reveal that a significant relationship exists between the variables under investigation. Moreover, it was observed that CSFs act as a mediator between PSPI and IT-enabled KM. The identified factors are associated with various aspects as managerial, infrastructure, financial, systems and processes for IT-enabled KM. IT acts as a moderator between KM and PSPI and facilitate the various phases of KM as knowledge creation, storage and retrieval, sharing and application of knowledge. Practical implications The present study introduces a framework for identifying and applying the CSFs that influence the KM initiatives for PSPI in an SE organization. The practitioners can use the CSFs for assessing the performance (strengths and weaknesses) in process of software development and KM practices. Researchers can use the resultant framework proposed in the empirical study for PSPI, IT-enabled KM, and in academia, the framework supports to organize the study of IT-enabled KM for PSPI. Originality/value The general comprehension of the relationship between IT-enabled KM and PSPI for Indian SE organizations is scarce in the literature. Following, the analysis expands the earlier research by exploring the mediating role of the CSFs and the moderating effect of IT for KM and PSPI relationship.
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Subasic, Anthony, Estelle Perrin, and Frederic Danesi. "Towards a Computer-Based Information Retrieval Systems Process." Applied Mechanics and Materials 411-414 (September 2013): 82–85. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.82.
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This paper presents the first definition of a methodology to analyze, design and evaluate information retrieval systems. We do not address the search engines themselves, but we discuss the computer human interaction implied. We show the need to introduce the user point-of-view in each interaction, and demonstrate the usage of trade oriented knowledge. We argue that, despite the inherent quality of the search engine, the human interface should be considered as the critical part of any system. Information Search Processes must evolve to include a computer-human interaction approach.
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Kota, Venkat R., Don Taylor, and Kevin R. Gue. "Retrieval time performance in puzzle-based storage systems." Journal of Manufacturing Technology Management 26, no. 4 (May 5, 2015): 582–602. http://dx.doi.org/10.1108/jmtm-08-2013-0109.
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Purpose – Puzzle-based storage is a novel approach enabling very dense storage. Previous analytical studies have focussed on retrieval time when one or more usable escort locations (empty slots) are located near the system input/output location, and on simulation results for more complex situations. The purpose of this paper is to extend analytical results to determine retrieval time performance when multiple escorts are randomly located within the system. Design/methodology/approach – Closed-form expressions for retrieval time are developed and proven for cases in which the number of free, randomly placed escorts is equal to one or two. Heuristics with associated worst case bounds are proposed for larger numbers of free escorts. Findings – Puzzle-based storage systems are practical and viable ways to achieve storage density, but retrieval time is heavily dependent upon suitable use of escort locations. Analytical and heuristic methods developed within the paper provide worst-case retrieval time performance in a variety of settings. Research limitations/implications – As the number of free, randomly located escorts increases, optimal analytical solutions are difficult to obtain. Heuristics provide viable retrieval strategies in these situations, and worst-case bounds are relatively easily developed. Originality/value – The primarily contribution of this paper is to make theoretical extensions of optimal methods for puzzle-based storage systems. It motivates additional research in multiple-escort systems and provides insights that should prove useful for the development of 3-dimensional puzzle-based systems and for systems in which concurrent item movement is permitted.
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Orlandic, Ratko, Jack Lukaszuk, and Craig Swietlik. "The design of a retrieval technique for high-dimensional data on tertiary storage." ACM SIGMOD Record 31, no. 2 (June 2002): 15–21. http://dx.doi.org/10.1145/565117.565120.
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Abburu, Sunitha, and Nitant Dube. "Satellite Parametric Description to Ontology Concepts and Semantic Classification of Satellite Data." International Journal on Semantic Web and Information Systems 12, no. 2 (April 2016): 53–75. http://dx.doi.org/10.4018/ijswis.2016040103.
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Current satellite data retrieval systems retrieves data using latitude, longitude, date, time and sensor parameters like wind, cloud etc. To achieve concept based satellite data retrieval like Storm, Hurricane, Overcast and Frost etc., requires ontological concept descriptions using satellite observation parameters and concept based classification of satellite data. The current research work has designed and implemented a two phase methodology to achieve this. The phase 1 defines ontology concepts through satellite observation parameters and phase 2 describes ontology concept based satellite data classification. The efficiency of the methodology is been tested by taking the Kalpana satellite data from MOSDAC and weather ontology. This achieves concept based retrieval of satellite data, application interoperability and strengthen the ontologies. The current methodology is implemented and results in concept based satellite data classification, storage and retrieval.
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Sunny, Sanjeev K., and Mallikarjun Angadi. "Evaluating the effectiveness of thesauri in digital information retrieval systems." Electronic Library 36, no. 1 (February 5, 2018): 55–70. http://dx.doi.org/10.1108/el-02-2017-0033.
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Purpose The purpose of this study is to carry out a systematic literature review for evidence-based assessment of the effectiveness of thesaurus in digital information retrieval systems. It also aimed to identify the evaluation methods, evaluation measures and data collection tools which may be used in evaluating digital information retrieval systems. Design/methodology/approach A systematic literature review (SLR) of 344 publications from LISA and 238 from Scopus has been carried out to identify the evaluation studies for analysis, and 15 evaluation studies have been analyzed. Findings This study presents evidences for the effectiveness of thesaurus in digital information retrieval systems. Various methods for evaluating digital information systems have been identified. Also, a wide range of evaluation measures and data collection tools have been identified. Research limitations/implications The study was limited to the literature published in English language and indexed in LISA and Scopus. The evaluation methods, evaluation measures and data collection tools identified in this study may be used to design more cognizant evaluation studies for digital information retrieval systems. Practical implications The findings have significant implications for the administrators of any type of digital information retrieval systems in making more informed decisions toward implementation of thesaurus in resource description and access to digital collections. Originality/value This study extends our knowledge on the potentials of thesauri in digital information retrieval systems. It also provides cues for designing more cognizant evaluation studies for digital information systems.
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Lou, Wen, and Junping Qiu. "Semantic information retrieval research based on co-occurrence analysis." Online Information Review 38, no. 1 (January 8, 2014): 4–23. http://dx.doi.org/10.1108/oir-11-2012-0203.
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Purpose – The paper aims to develop a new method for potential relations retrieval. It aims to find common aspects between co-occurrence analysis and ontology to build a model of semantic information retrieval based on co-occurrence analysis. Design/methodology/approach – This paper used a literature review, co-occurrence analysis, ontology build and other methods to design a model and process of semantic information retrieval based on co-occurrence analysis. Archaeological data from Wuhan University Library's bibliographic retrieval systems was used for experimental analysis. Findings – The literature review found that semantic information retrieval research mainly concentrates on ontology-based query techniques, semantic annotation and semantic relation retrieval. Moreover most recent systems can only achieve obvious relations retrieval. Ontology and co-occurrence analysis have strong similarities in theoretical ideas, data types, expressions, and applications. Research limitations/implications – The experiment data came from a Chinese university which perhaps limits its usefulness elsewhere. Practical implications – This paper constructed a model to understand potential relations retrieval. An experiment proved the feasibility of co-occurrence analysis used in semantic information retrieval. Compared with traditional retrieval, semantic information retrieval based on co-occurrence analysis is more user-friendly. Originality/value – This study is one of the first to combine co-occurrence analysis with semantic information retrieval to find detailed relationships.
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Qiao, Hu, Qingyun Wu, Songlin Yu, Jiang Du, and Ying Xiang. "A 3D assembly model retrieval method based on assembly information." Assembly Automation 39, no. 4 (September 2, 2019): 556–65. http://dx.doi.org/10.1108/aa-03-2018-047.
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Purpose The purpose of this paper is to propose a three-dimensional (3D) assembly model retrieval method based on assembling semantic information to address semantic mismatches, poor accuracy and low efficiency in existing 3D assembly model retrieval methods. Design/methodology/approach The paper proposes an assembly model retrieval method. First, assembly information retrieval is performed, and 3D models that conform to the design intention of the assembly are found by retrieving the code. On this basis, because there are conjugate subgraphs between attributed adjacency graphs (AAG) that have an assembly relationship, the assembly model geometric retrieval is translated into a problem of finding AAGs with a conjugate subgraph. Finally, the frequent subgraph mining method is used to retrieve AAGs with conjugate subgraphs. Findings The method improved the efficiency and accuracy of assembly model retrieval. Practical implications The examples illustrate the specific retrieval process and verify the feasibility and reasonability of the assembly model retrieval method in practical applications. Originality/value The assembly model retrieval method in the paper is an original method. Compared with other methods, good results were obtained.
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Li, Weijing, Zicheng Zhou, Wen Fan, and Juan Gao. "Design of Data Sharing Platform Based on Blockchain and IPFS Technology." Wireless Communications and Mobile Computing 2022 (July 13, 2022): 1–7. http://dx.doi.org/10.1155/2022/3937725.
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With the continuous development of the information age, data sharing and exchange are gradually increasing. The Internet and big data technology provide a guarantee for data sharing and transmission. At present, as the amount of data increases rapidly, how to realize data sharing has become a huge challenge. To solve this problem, this paper proposes a data sharing platform based on the combination of blockchain and interplanetary file system (IPFS) technology to solve the data sharing and storage. Firstly, by constructing the alliance blockchain, the consensus mechanism of computing power competition is used to maintain the data written into the blockchain, and the IPFS data storage system is established to store data using distributed storage, file splitting, and splicing technologies. Secondly, a data sharing platform composed of blockchain module, IPFS module, encryption and decryption module, and fast retrieval module is built. Data encryption is processed by encryption and decryption module, and the processed data is uploaded to THE IPFS module; the abstract and other information are finally written into the blockchain through the blockchain module. The fast retrieval module can quickly locate the required data according to the retrieval conditions in the mass blockchain data; finally, the security and storage of data sharing platform are guaranteed through security and performance evaluation. The research results solve the problem of large amount of data sharing, realize the data decentralization, and ensure the data storage security.
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Xie, Run, Chanlian He, Dongqing Xie, Chongzhi Gao, and Xiaojun Zhang. "A Secure Ciphertext Retrieval Scheme against Insider KGAs for Mobile Devices in Cloud Storage." Security and Communication Networks 2018 (June 6, 2018): 1–7. http://dx.doi.org/10.1155/2018/7254305.
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With the advent of cloud computing, data privacy has become one of critical security issues and attracted much attention as more and more mobile devices are relying on the services in cloud. To protect data privacy, users usually encrypt their sensitive data before uploading to cloud servers, which renders the data utilization to be difficult. The ciphertext retrieval is able to realize utilization over encrypted data and searchable public key encryption is an effective way in the construction of encrypted data retrieval. However, the previous related works have not paid much attention to the design of ciphertext retrieval schemes that are secure against inside keyword-guessing attacks (KGAs). In this paper, we first construct a new architecture to resist inside KGAs. Moreover we present an efficient ciphertext retrieval instance with a designated tester (dCRKS) based on the architecture. This instance is secure under the inside KGAs. Finally, security analysis and efficiency comparison show that the proposal is effective for the retrieval of encrypted data in cloud computing.
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Ai, Qingyao. "Neural generative models and representation learning for information retrieval." ACM SIGIR Forum 53, no. 2 (December 2019): 97. http://dx.doi.org/10.1145/3458553.3458565.
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Information Retrieval (IR) concerns about the structure, analysis, organization, storage, and retrieval of information. Among different retrieval models proposed in the past decades, generative retrieval models, especially those under the statistical probabilistic framework, are one of the most popular techniques that have been widely applied to Information Retrieval problems. While they are famous for their well-grounded theory and good empirical performance in text retrieval, their applications in IR are often limited by their complexity and low extendability in the modeling of high-dimensional information. Recently, advances in deep learning techniques provide new opportunities for representation learning and generative models for information retrieval. In contrast to statistical models, neural models have much more flexibility because they model information and data correlation in latent spaces without explicitly relying on any prior knowledge. Previous studies on pattern recognition and natural language processing have shown that semantically meaningful representations of text, images, and many types of information can be acquired with neural models through supervised or unsupervised training. Nonetheless, the effectiveness of neural models for information retrieval is mostly unexplored. In this thesis, we study how to develop new generative models and representation learning frameworks with neural models for information retrieval. Specifically, our contributions include three main components: (1) Theoretical Analysis : We present the first theoretical analysis and adaptation of existing neural embedding models for ad-hoc retrieval tasks; (2) Design Practice : Based on our experience and knowledge, we show how to design an embedding-based neural generative model for practical information retrieval tasks such as personalized product search; And (3) Generic Framework : We further generalize our proposed neural generative framework for complicated heterogeneous information retrieval scenarios that concern text, images, knowledge entities, and their relationships. Empirical results show that the proposed neural generative framework can effectively learn information representations and construct retrieval models that outperform the state-of-the-art systems in a variety of IR tasks.
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Ashford, John H. "Text storage and retrieval in the ORACLE relational database management system: design study and intended applications." Program 21, no. 2 (February 1987): 108–23. http://dx.doi.org/10.1108/eb046963.
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Mohd Suki, Norazah, and Norbayah Mohd Suki. "Library patrons’ emotions after information retrieval: effects of perceived self-efficacy." Program 50, no. 3 (July 4, 2016): 288–302. http://dx.doi.org/10.1108/prog-07-2014-0045.
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Purpose – Successful information retrieval is determined by library patrons retrieving accurate, relevant, and up-to-date information stored in documents; this affects their self-efficacy, emotions, and behavior. The purpose of this paper is to examine the impact of mastery experiences, self-evaluation, vicarious observation of others’ experiences, social feedback, and physiological state of library patrons’ emotions after information retrieval. Design/methodology/approach – A structured close-ended questionnaire survey was utilized of which 200 responses were valid and usable for data analysis. Multiple regression analysis was executed to assess the influence of personal self-evaluation, comparisons with others, physiological state, and social feedback, on the library patrons’ emotions after information retrieval. Findings – The findings of this study indicated that social feedback had the greatest influence on the library patrons’ emotions after information retrieval, followed by personal self-evaluation and physiological state. Originality/value – This study employed quantitative research design utilizing multiple regression analysis which provides useful insight for university librarians on the specific factors that have significant effects on library patrons’ emotions after information retrieval. The outcomes add a new perspective to preceding studies on library patrons’ emotions after information retrieval, which has previously been inadequately researched in the Malaysian setting.
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Rahmawati, Yuli. "Digital Preservation of Photo Journalism (Case Study of the Kompas Daily)." Record and Library Journal 1, no. 2 (January 2, 2017): 183. http://dx.doi.org/10.20473/rlj.v1i2.1170.
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Newspaper provides many information from politics, economics, cultures, and sports for society. Newspaper reports important events in the world. Besides the news, there also some pictures portraying those events. So readers will easilly to see what happen visually. According to the journalistic concept, photos has comply as a reference source. Kompas daily, firstly published on 1965, and published many historical photos both paper and digital format. The digitize process is done by kompas information center, through scanning, indexing, and syncronizing. Two most important issues are standardization of metadata and integrated retrieval systems. Standarization of metadata was design based on publishing standard, IIM and was modified with IPTC news codes. Information retrieval systems was built by inserting information about publication. This system connecting photo creating data, storage systems, and retrieval systems. For kompas daily, the availability if digital object such as photo can trigger the innitiatives of re-publishing historical momments in thematical rubrics. Digitize will give benefits for information disemination.
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(Jenny) Yuan, Xiaojun, and Nicholas J. Belkin. "Applying an information-seeking dialogue model in an interactive information retrieval system." Journal of Documentation 70, no. 5 (September 2, 2014): 829–55. http://dx.doi.org/10.1108/jd-06-2013-0079.
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Purpose – People often engage in different information-seeking strategies (ISSs) within a single information-seeking episode. A critical concern for the design of information retrieval (IR) systems is how to provide support for these different behaviors in a manner which searchers can easily understand, navigate and use, as they move from one ISS to another. The purpose of this paper is to describe a dialogue structure that was implemented in an experimental IR system, in order to address this concern. Design/methodology/approach – The authors conducted a user-centered experiment to evaluate the IR systems. Participants were asked to search for information on two different task types, with four different topics per task, in both the experimental system and a baseline system emulating state-of-the-art IR systems. The authors report here the results related explicitly to the use of the experimental system's dialogue structure. Findings – For one of the task types, most participants followed the search steps as predicted in the dialogue structures, and those who did so completed the task in fewer moves. For the other task type, predicted order of moves was often not followed, but participants again used fewer moves when following the predicted order. Results demonstrate that the dialogue structures the authors designed indeed support effective human information behavior patterns in a variety of ways, and that searchers can effectively use a system which changes to support different ISSs. Originality/value – This study shows that it is both possible and beneficial, to design an IR system which can support multiple ISSs, and that such a system can be understood and used successfully.
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Azadeh, Kaveh, René De Koster, and Debjit Roy. "Robotized and Automated Warehouse Systems: Review and Recent Developments." Transportation Science 53, no. 4 (July 2019): 917–45. http://dx.doi.org/10.1287/trsc.2018.0873.
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Robotic handling systems are increasingly applied in distribution centers. They require little space, provide flexibility in managing varying demand requirements, and are able to work 24/7. This makes them particularly fit for e-commerce operations. This paper reviews new categories of automated and robotic handling systems, such as shuttle-based storage and retrieval systems, shuttle-based compact storage systems, and robotic mobile fulfillment systems. For each system, we categorize the literature in three groups: system analysis, design optimization, and operations planning and control. Our focus is to identify the research issue and operations research modeling methodology adopted to analyze the problem. We find that many new robotic systems and applications have hardly been studied in academic literature, despite their increasing use in practice. Because of unique system features (such as autonomous control, flexible layout, networked and dynamic operation), new models and methods are needed to address the design and operational control challenges for such systems, in particular, for the integration of subsystems. Integrated robotic warehouse systems will form the next category of warehouses. All vital warehouse design, planning, and control logic, such as methods to design layout, storage and order-picking system selection, storage slotting, order batching, picker routing, and picker to order assignment, will have to be revisited for new robotized warehouses.
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Ménard, Elaine, and Vanessa Girouard. "Image retrieval with SINCERITY." OCLC Systems & Services: International digital library perspectives 31, no. 4 (November 9, 2015): 204–18. http://dx.doi.org/10.1108/oclc-09-2014-0032.
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Purpose – The purpose of this paper is to develop a search engine dedicated to image retrieval in a bilingual (French and English) context. This paper presents the first phase of user testing that was carried out to validate and refine SINCERITY, the new search device. Design/methodology/approach – This first phase of the search engine testing involved a small group of image searchers (10 French-speaking and 10 English-speaking participants) who were asked to retrieve a sample of images (30) using the new tool. A questionnaire was also developed to compile the comments of the users. Findings – The results of this first phase of testing revealed that even though image indexing was sometimes problematic, the participants did not encounter major difficulties retrieving images with SINCERITY. Comments and suggestions received will be taken into consideration to improve the performance and aesthetics of the search engine. Originality/value – Once fully operational, SINCERITY will allow users to search images in an attractive and user-friendly manner. Eventually, other types of images (documentary and artistic) will be added to the image database linked to the image search engine, as well as other languages.
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Abburu, Sunitha, and Nitant Dube. "Ontology Concept-Based Management and Semantic Retrieval of Satellite Data." Journal of Intelligent Systems 26, no. 2 (April 1, 2017): 197–213. http://dx.doi.org/10.1515/jisys-2015-0082.
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AbstractSeveral satellite data receiving and distributing centers across the world support data storage, processing, and retrieval based on satellite, sensor, product, latitude, longitude, date and time, etc. These systems address queries on satellite products that are mostly high-level concepts. A more sophisticated retrieval system that supports ontological concepts, subconcepts, and concept hierarchical queries delivers refined results that broaden the scientific horizon of the application domain. To achieve this, the current research designed and implemented an ontology concept-based satellite data management and retrieval methodology. This enhances the performance of the satellite data retrieval system and supports semantic queries. The performance of the retrieval system depends upon the strategy followed to maintain domain ontologies and satellite data instances. Three ontology-based satellite data management strategies are discussed, and their performance was evaluated by taking real and benchmark metrics. A semantic query set of 25 queries was chosen covering various concepts, subconcepts, and concept hierarchical-related queries that involve various SPARQL query constructs. The test bed is taken from real-time satellite data received from Kalpana-1 of various sizes of triple stores.
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Shirazi, Ehsan, and Mohammad Zolghadr. "An Item Retrieval Algorithm in Flexible High-Density Puzzle Storage Systems." Applied System Innovation 4, no. 2 (June 11, 2021): 38. http://dx.doi.org/10.3390/asi4020038.
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This paper studies a design of a puzzle-based storage system. We developed an item retrieval algorithm for our system which has three advantages over the previous counterparts in the literature: (i) we can retrieve items from all sides of our storage system; (ii) the existence of only one empty cell in our system is sufficient to retrieve an item; and (iii) our algorithm never ends in deadlocks. The main feature of our algorithm is to prefer three moves to five moves in the process of moving the seized empty cell toward the optimal side of the requested item. The conventional view in the literature assumes that increasing the number of empty cells always reduces the number of movements required for retrieving items; however, our simulation results show that depending on the size of the puzzle and the number of the requested items, increasing empty cells might make the retrieval process more complicated.
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Behnert, Christiane, and Dirk Lewandowski. "A framework for designing retrieval effectiveness studies of library information systems using human relevance assessments." Journal of Documentation 73, no. 3 (May 8, 2017): 509–27. http://dx.doi.org/10.1108/jd-08-2016-0099.
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Purpose The purpose of this paper is to demonstrate how to apply traditional information retrieval (IR) evaluation methods based on standards from the Text REtrieval Conference and web search evaluation to all types of modern library information systems (LISs) including online public access catalogues, discovery systems, and digital libraries that provide web search features to gather information from heterogeneous sources. Design/methodology/approach The authors apply conventional procedures from IR evaluation to the LIS context considering the specific characteristics of modern library materials. Findings The authors introduce a framework consisting of five parts: search queries, search results, assessors, testing, and data analysis. The authors show how to deal with comparability problems resulting from diverse document types, e.g., electronic articles vs printed monographs and what issues need to be considered for retrieval tests in the library context. Practical implications The framework can be used as a guideline for conducting retrieval effectiveness studies in the library context. Originality/value Although a considerable amount of research has been done on IR evaluation, and standards for conducting retrieval effectiveness studies do exist, to the authors’ knowledge this is the first attempt to provide a systematic framework for evaluating the retrieval effectiveness of twenty-first-century LISs. The authors demonstrate which issues must be considered and what decisions must be made by researchers prior to a retrieval test.
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Rajagopal, Prabha, Sri Devi Ravana, Yun Sing Koh, and Vimala Balakrishnan. "Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment." Aslib Journal of Information Management 71, no. 1 (January 21, 2019): 2–17. http://dx.doi.org/10.1108/ajim-04-2018-0086.
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Purpose The effort in addition to relevance is a major factor for satisfaction and utility of the document to the actual user. The purpose of this paper is to propose a method in generating relevance judgments that incorporate effort without human judges’ involvement. Then the study determines the variation in system rankings due to low effort relevance judgment in evaluating retrieval systems at different depth of evaluation. Design/methodology/approach Effort-based relevance judgments are generated using a proposed boxplot approach for simple document features, HTML features and readability features. The boxplot approach is a simple yet repeatable approach in classifying documents’ effort while ensuring outlier scores do not skew the grading of the entire set of documents. Findings The retrieval systems evaluation using low effort relevance judgments has a stronger influence on shallow depth of evaluation compared to deeper depth. It is proved that difference in the system rankings is due to low effort documents and not the number of relevant documents. Originality/value Hence, it is crucial to evaluate retrieval systems at shallow depth using low effort relevance judgments.
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PISSINOU, NIKI, and KIA MAKKI. "A UNIFIED MODEL AND METHODOLOGY FOR TEMPORAL OBJECT DATABASES." International Journal of Cooperative Information Systems 02, no. 02 (June 1993): 201–23. http://dx.doi.org/10.1142/s0218215793000101.
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This paper identifies, explores and provides an approach to handling temporal information in object databases. It specifically involves the design and development of the Temporal Three Dimensional Information Space model that integrates time with objects. The model is based on a small number of simple temporal object constructs and provides a user with the basic primitives for temporal object definition, manipulation and retrieval. This research presents a step towards defining the concepts and techniques for incorporating time in object databases, and provides concrete experimental framework for demonstration thereof. Target Application environments include management and geographic information systems, database visualization and robotics.
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Johnson, William B., Jeffrey E. Norton, and Leonard G. Utsman. "Integrated Information for Maintenance Training, Aiding, and on - Line Documentation." Proceedings of the Human Factors Society Annual Meeting 36, no. 1 (October 1992): 87–91. http://dx.doi.org/10.1177/154193129203600122.
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Today's portable computer systems have the power, memory, and storage to support a broad spectrum of capabilities in maintenance environments. The computer hardware is a minor part of the success equation when compared to the intricacies of writing software and other design activities like knowledge base creation and interface development. The cost vs. benefit analysis is more likely to favor new technology when the same system can be used across multiple functions within a technical environment. The integration of training, job aiding, and on-line information is discussed in this paper. The software technologies of intelligent tutoring, expert-system job aiding, and multimedia information storage/retrieval will be described. Example systems are from the aviation and electric power generation maintenance environments.
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Feinberg, Melanie. "Reading databases: slow information interactions beyond the retrieval paradigm." Journal of Documentation 73, no. 2 (March 13, 2017): 336–56. http://dx.doi.org/10.1108/jd-03-2016-0030.
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Purpose In this conceptual essay, the purpose of this paper is to argue that the structure of databases and other information systems provides valuable information beyond their content. The author contends that reading databases – as a separate, distinct activity from retrieving and reading the documents that databases contain – is an under-studied form of human-information interaction. Because the act of reading databases encourages awareness, reflection, and control over information systems, the author aligns the author’s proposal with “slow” principles, as exemplified by the slow food movement. Design/methodology/approach This paper presents an extended argument to demonstrate the value of reading a database. Reading a database involves understanding the relationship between database structure and database content as an interpretation of the world. For example, when a supermarket puts vermicelli in the pasta section but rice vermicelli in the Asian section, the supermarket suggests that rice vermicelli is more “Asian” than “noodle.” To construct the author’s argument, the author uses examples that range from everyday, mundane activities with information systems (such as using maps and automated navigation systems) to scientific and technical work (systematic reviews of medical evidence). Findings The slow, interpretively focused information interactions of reading databases complement the “fast information” approach of outcome-oriented retrieval. To facilitate database reading activities, research should develop tools that focus user attention on the application of database structure to database contents. Another way of saying this is that research should exploit the interactive possibilities of metadata, either human-created or algorithmically generated. Originality/value This paper argues that information studies research focuses too heavily on seeking and retrieval. Seeking and retrieval are just two of the many interactions that constitute our everyday activities with information. Reading databases is an area particularly ripe with design possibilities.
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Rosenthal, David Stuart Holmes. "The medium-term prospects for long-term storage systems." Library Hi Tech 35, no. 1 (March 20, 2017): 11–31. http://dx.doi.org/10.1108/lht-11-2016-0128.
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Purpose Increasingly, the content that libraries collect is no longer on paper, a long-lived, medium whose technology changes very slowly and with which they have centuries of experience. Instead, it is stored on relatively short-lived digital media whose technology appears to change rapidly and with which they have little history. The paper aims to discuss this issue. Design/methodology/approach The storage media industry is highly competitive and is currently evolving rapidly as flash, a solid state medium, displaces spinning disk from many applications. Long-term archival storage is a small part of the total storage market. It typically re-uses media and systems intended for more general bulk storage. Findings What are the medium-term prospects for change in this market? Originality/value Much of this material has appeared in blog posts and talks aimed at storage experts, such as the recent DARPA workshop on future of storage. It is presented here for a librarian audience with the necessary additional exposition and background.
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Clemmensen, Melanie Landvad, and Pia Borlund. "Order effect in interactive information retrieval evaluation: an empirical study." Journal of Documentation 72, no. 2 (March 14, 2016): 194–213. http://dx.doi.org/10.1108/jd-04-2015-0051.
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Purpose – The purpose of this paper is to report a study of order effect in interactive information retrieval (IIR) studies. The phenomenon of order effect is well-known, and it is the main reason why searches are permuted (counter-balanced) between test participants in IIR studies. However, the phenomenon is not yet fully understood or investigated in relation to IIR; hence the objective is to increase the knowledge of this phenomenon in the context of IIR as it has implications for test design of IIR studies. Design/methodology/approach – Order effect is studied via partly a literature review and partly an empirical IIR study. The empirical IIR study is designed as a classic between-groups design. The IIR search behaviour was logged and complementary post-search interviews were conducted. Findings – The order effect between groups and within search tasks were measured against nine classic IIR performance parameters of search interaction behaviour. Order effect is seen with respect to three performance parameters (website changes, visit of webpages, and formulation of queries) shown by an increase in activity on the last performed search. Further the theories with respect to motivation, fatigue, and the good-subject effect shed light on how and why order effect may affect test participants’ IR system interaction and search behaviour. Research limitations/implications – Insight about order effect has implications for test design of IIR studies and hence the knowledge base generated on the basis of such studies. Due to the limited sample of 20 test participants (Library and Information Science (LIS) students) inference statistics is not applicable; hence conclusions can be drawn from this sample of test participants only. Originality/value – Only few studies in LIS focus on order effect and none from the perspective of IIR.
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Wang, Qian, and Jack Yi Tan. "A Reconfigurable Mechanism of Cantilever Storage Racks." Advanced Materials Research 875-877 (February 2014): 863–67. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.863.
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An automated warehousing system often consists of storage modules, storage and retrieval mechanism, lifting equipment and conveyor systems. These facilities are used to overcome some disadvantages of manually operated warehousing systems which often lead to a high frequency of human errors, high labour cost and low efficiency. The usage of these automated facilities may also be helpful to maximise utilisation of shop floor space and improve efficiency of warehousing operations. On the other hand, at this age of information technology that the access to the internet is just at the fingertip, it has been seen a rising trend for online shopping in the past decade. Thus, manufacturers, suppliers or distributors have been seeking for even more efficient and effective new methods to store and distribute their goods. A number of studies through a literature review suggest that future generation warehouses may be designed and implemented as more centralised and distributed warehousing systems in which customers place their orders on-line and goods will then be dispatched directly to their door steps from these centralised distribution centres. This paper presents a proposal for designing and implementing future generation warehousing systems using fast-growing IT technologies such as radio frequency identification (RFID), wireless sensors and networks. The overall purpose of this study is to develop a conceptual design of an integrated system for future generation automated warehouses by incorporating a new design of storage and retrieval modules with the applications of these IT technologies used for automation activities. The presentation of this paper only highlights the part of this work including a design of a core mechanism for automated storage module namely the cantilever storage racks, which have the feature of scalability and reconfigurability.
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Harviainen, J. Tuomas, and Amon Rapp. "Multiplayer online role-playing as information retrieval and system use: an ethnographic study." Journal of Documentation 74, no. 3 (May 14, 2018): 624–40. http://dx.doi.org/10.1108/jd-07-2017-0100.
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Purpose The purpose of this paper is to expand the research of games as information systems. It illustrates how significant parts of massively multiplayer online role-playing function like information retrieval from a library database system. Design/methodology/approach By combining ideas from earlier contributions on the topics of game environments as information systems, the paper explores how gameplay connects to information retrieval, restricted content access, and information system structure. The paper then proceeds to examine this idea through an ethnographic study conducted in World of Warcraft during 2012-2016. Findings By discussing how multiplayer digital game play is a form of information retrieval, the paper shows that players enjoy the well-restricted access to information that is a constitutive element of gameplay. Examining controlled access, procedural literacies and emphatic keywords, the paper finds that content relevances and system use may be influenced by hedonic concerns rather than task efficiency. Originality/value The study of retrieval issues related to gaming enriches our knowledge on inferences in retrieval. It shows that people may prefer that their access to information be limited, in order to make system use more interesting.
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Si, Li, Qiuyu Pan, and Xiaozhe Zhuang. "An empirical analysis of user behaviour on multilingual information retrieval." Electronic Library 35, no. 3 (June 5, 2017): 410–26. http://dx.doi.org/10.1108/el-01-2016-0004.
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Purpose This paper aims to understand user information behaviours when they perform multilingual information retrieval. It also offers reference for the development of multilingual information retrieval systems and relevant service platforms. Design/methodology/approach The authors designed an experiment on multilingual information retrieval with WorldWideScience, utilized Camtasia studio7 (a screen capturing and recording tool) to record overall operational processes of subjects and collected participants’ thought processes with think-aloud protocols. Meanwhile, a questionnaire survey and interviews were used to examine the subjects’ background information, their feelings for the experiment and their ideas about the experimental platform, respectively. Thirty-two valid data points were obtained by 41 subjects. Findings The users preferred their own language for retrieval. Most users from social science chose general search or advanced search freely according to the tasks. The majority of the participants selected key words directly from the tasks as search terms. Doctoral candidates were more likely to construct a search query with logic symbols. Translation tools were utilized for assisting retrieval and solving doubts of translation. When facing obstacles, users stayed on the original web page to explore continually, followed by back to homepage. Originality/value This paper provides a study of user behaviour through investigating how users behave on the whole process of retrieving multilingual information. The findings offer advice for optimizing the function of multilingual information retrieval systems and service platforms.
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Sedghi, Shahram, Zeinab Shormeij, and Iman Tahamtan. "Exploring the context of visual information seeking." Electronic Library 36, no. 3 (June 4, 2018): 445–56. http://dx.doi.org/10.1108/el-03-2017-0054.
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Purpose Information seeking is an interactive behaviour of the end users with information systems, which occurs in a real environment known as context. Context affects information-seeking behaviour in many different ways. The purpose of this paper is to investigate the factors that potentially constitute the context of visual information seeking. Design/methodology/approach The authors used a Straussian version of grounded theory, a qualitative approach, to conduct the study. Using a purposive sampling method, 28 subjects participated in the study. The data were analysed using open, axial and selective coding in MAXQDA software. Findings The contextual factors influencing visual information seeking were classified into seven categories, including: “user characteristics”, “general search features”, “visual search features”, “display of results”, “accessibility of results”, “task type” and “environmental factors”. Practical/implications This study contributes to a better understanding of how people conduct searches in and interact with visual search interfaces. Results have important implications for the designers of information retrieval systems. Originality/value This paper is among the pioneer studies investigating contextual factors influencing information seeking in visual information retrieval systems.
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Amirhosseini, Maziar. "A Novel Method for Ranking Knowledge Organization Systems (KOSs) Based on Cognition States ." KNOWLEDGE ORGANIZATION 49, no. 6 (2022): 391–410. http://dx.doi.org/10.5771/0943-7444-2022-6-391.
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The purpose of this article is to delineate the process of evolution of knowledge organization systems (KOSs) through identification of principles of unity such as internal and external unity in organizing the structure of KOSs to achieve content storage and retrieval purposes and to explain a novel method used in ranking of KOSs by proposing the principle of rank unity. Different types of KOSs which are addressed in this article include dictionaries, Roget’s thesaurus, thesauri, micro, macro, and meta-thesaurus, ontologies, and lower, middle, and upper-level ontologies. This article relied on dialectic models to clarify the ideas in Kant’s knowledge theory. This is done by identifying logical relationships between categories (i.e., Thesis, antithesis, and synthesis) in the creation of data, information, and knowledge in the human mind. The Analysis has adapted a historical methodology, more specifically a documentary method, as its reasoning process to propose a conceptual model for ranking KOSs. The study endeavors to explain the main elements of data, information, and knowledge along with engineering mechanisms such as data, information, and knowledge engineering in developing the structure of KOSs and also aims to clarify their influence on content storage and retrieval performance. KOSs have followed related principles of order to achieve an internal order, which could be examined by analyzing the principle of internal unity in knowledge organizations. The principle of external unity leads us to the necessity of compatibility and interoperability between different types of KOSs to achieve semantic harmonization in increasing the performance of content storage and retrieval. Upon introduction of the principle of rank unity, a ranking method of KOSs utilizing cognition states as criteria could be considered to determine the position of each knowledge organization with respect to others. The related criteria of the principle of rank unity- cognition states- are derived from Immanuel Kant’s epistemology. The research results showed that KOSs, while having defined positions in cognition states, specific principles of order, related operational mechanisms, and related principles of unity in achieving their specific purposes, have benefited from the developmental experiences of previous KOSs, and further, their developmental processes owe to the experiences and methods of their previous generations.
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Yari Zanganeh, Marzieh, and Nadjla Hariri. "The role of emotional aspects in the information retrieval from the web." Online Information Review 42, no. 4 (August 13, 2018): 520–34. http://dx.doi.org/10.1108/oir-04-2016-0121.
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Purpose The purpose of this paper is to identify the role of emotional aspects in information retrieval of PhD students from the web. Design/methodology/approach From the methodological perspective, the present study is experimental and the type of study is practical. The study population is PhD students of various fields of science. The study sample consists of 50 students as selected by the stratified purposive sampling method. The information aggregation is performed by observing the records of user’s facial expressions, log file by Morae software, as well as pre-search and post-search questionnaire. The data analysis is performed by canonical correlation analysis. Findings The findings showed that there was a significant relationship between emotional expressions and searchers’ individual characteristics. Searchers satisfaction of results, frequency internet search, experience of search, interest in the search task and familiarity with similar searches were correlated with the increased happy emotion. The examination of user’s emotions during searching performance showed that users with happiness emotion dedicated much time in searching and viewing of search solutions. More internet addresses with more queries were used by happy participants; on the other hand, users with anger and disgust emotions had the lowest attempt in search performance to complete search process. Practical implications The results imply that the information retrieval systems in the web should identify emotional expressions in a set of perceiving signs in human interaction with computer, similarity, face emotional states, searching and information retrieval from the web. Originality/value The results explicit in the automatic identification of users’ emotional expressions can enter new dimensions into their moderator and information retrieval systems on the web and can pave the way of design of emotional information retrieval systems for the successful retrieval of users of the network.
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Göker, Ayse, Richard Butterworth, Andrew MacFarlane, Tanya S. Ahmed, and Simone Stumpf. "Expeditions through image jungles." Journal of Documentation 72, no. 1 (January 11, 2016): 5–23. http://dx.doi.org/10.1108/jd-01-2014-0019.
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Purpose – Searching for appropriate images as part of a work task is a non-trivial problem. Journalists and copywriters need to find images that are not only visually appropriate to accompany the documents they are creating, but are acceptably priced and licensed. The paper aims to discuss these issues. Design/methodology/approach – A work-based study methodology and grounded theory are used to collect qualitative data from a variety of creative professionals including journalists. Findings – The authors report the findings of a study to investigate image search, retrieval and use by creative professionals who routinely use images as part of their work in an online environment. The authors describe the commercial constraints that have an impact on the image users’ behaviour that are not reported in other more academic and lab-based studies of image use (Westman, 2009). Practical implications – The authors show that the commercial image retrieval systems are based on document retrieval systems, and that this is not the most appropriate approach in the journalism domain. Originality/value – The authors describe the properties of an “information expedition”; the image seeking behaviour exhibited by journalists in an online environment, and contend that it is significantly different to existing image seeking models which represent other user types.
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Kaltenthaler, Daniel, Johannes-Y. Lohrer, Florian Richter, and Peer Kröger. "Interdisciplinary knowledge cohesion through distributed information management systems." Journal of Information, Communication and Ethics in Society 16, no. 4 (November 12, 2018): 413–26. http://dx.doi.org/10.1108/jices-03-2018-0021.
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Purpose Interdisciplinary linkage of information is an emerging topic to create knowledge by collaboration of experts in diverse domains. New insights can be found by using the combined techniques and information when people have the chance to discuss and communicate on a common basis. Design/methodology/approach This paper describes RMS Cloud, an information management system which allows distributed data sources to be searched using dynamic joins of results from heterogeneous data formats. It is based on the well-known Mediator architecture, but reverses the connection of the data sources to grant data owners full control over the data. Findings Data owners and learners are enabled to retrieve information and to cross-connect domain-extrinsic knowledge and enhances collaborative learning with a search interface that is intuitive and easy to operate. Originality/value This novel architecture is able to connect to differently shaped data sources from interdisciplinary domains into one common retrieval interface.
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Robledano-Arillo, Jesús, Diego Navarro-Bonilla, and Julio Cerdá-Díaz. "Application of Linked Open Data to the coding and dissemination of Spanish Civil War photographic archives." Journal of Documentation 76, no. 1 (October 8, 2019): 67–95. http://dx.doi.org/10.1108/jd-06-2019-0112.
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Purpose The purpose of this paper is to present a conceptual model for coding and dissemination of data associated with historical photographic archives. The model is based on Linked Open Data technology and seeks to exhaustively represent the most relevant characteristics for the tasks of contextualization of the documentary groupings and units, management, document retrieval, dissemination and sharing of data about the historical photographs. Design/methodology/approach An OWL ontology, called Ontophoto, was constructed following an adaptation of the methodology proposed by Uschold and Gruninger and Gruninger and Fox. The ontology was implemented using Protégé 5.5 software. Next a Graph DB® graph database application (Ontotext) was created to generate a query system based on the SPARQL language. To validate the consistency and effectiveness of the model and ontology, a competency questions methodology has been applied using a sample from the Skogler photographic archive. Findings The model facilitates the generation of systems for dissemination and retrieval of iconographic data for historical research, overcoming some of the limitations with respect to the design of methods of content and contextual information representation for heritage photographic archives. Research limitations/implications This study is based on a sample. Future work should consider the implementation of the model on the totality of a photographic collection. Originality/value This paper presents a comprehensive ontological model that allows the creation of distributed systems of knowledge representation, which can be queried through SPARQL language.
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Ravana, Sri Devi, Prabha Rajagopal, and Vimala Balakrishnan. "Ranking retrieval systems using pseudo relevance judgments." Aslib Journal of Information Management 67, no. 6 (November 16, 2015): 700–714. http://dx.doi.org/10.1108/ajim-03-2015-0046.
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Purpose – In a system-based approach, replicating the web would require large test collections, and judging the relevancy of all documents per topic in creating relevance judgment through human assessors is infeasible. Due to the large amount of documents that requires judgment, there are possible errors introduced by human assessors because of disagreements. The paper aims to discuss these issues. Design/methodology/approach – This study explores exponential variation and document ranking methods that generate a reliable set of relevance judgments (pseudo relevance judgments) to reduce human efforts. These methods overcome problems with large amounts of documents for judgment while avoiding human disagreement errors during the judgment process. This study utilizes two key factors: number of occurrences of each document per topic from all the system runs; and document rankings to generate the alternate methods. Findings – The effectiveness of the proposed method is evaluated using the correlation coefficient of ranked systems using mean average precision scores between the original Text REtrieval Conference (TREC) relevance judgments and pseudo relevance judgments. The results suggest that the proposed document ranking method with a pool depth of 100 could be a reliable alternative to reduce human effort and disagreement errors involved in generating TREC-like relevance judgments. Originality/value – Simple methods proposed in this study show improvement in the correlation coefficient in generating alternate relevance judgment without human assessors while contributing to information retrieval evaluation.
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Weissenberger, Lynnsey. "Toward a universal, meta-theoretical framework for music information classification and retrieval." Journal of Documentation 71, no. 5 (September 14, 2015): 917–37. http://dx.doi.org/10.1108/jd-08-2013-0106.
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Purpose – The purpose of this paper is to present a new framework for representing music for information retrieval that emphasizes socio-cultural aspects of music. Design/methodology/approach – Philosophical and theoretical concepts related to the nature of music, aboutness, musical works are explored as they inform how music is represented. Multidisciplinary perspectives on music information representation, classification, and retrieval provide insight into how information science can better accommodate music information within its disciplinary boundaries. Findings – A new term, music information object (MIO), is presented and defined. Downie’s (2003) theoretical statements are reconceptualized into a theory of representational incompleteness and three meta-classes for music information object representation. Practical implications – This new framework incorporates more dimensions of music representation than existing frameworks allow and can facilitate comparisons between classifications of MIO representations by music practitioners, scholars, and system developers. Originality/value – The meta-classes form a much-needed theoretical framework for classifying and defining MIOs from any musical tradition for retrieval. This fills a gap in music information retrieval research, which lacks a theoretical framework that can accommodate musics from all traditions without attempting to organize them according to a western-centered understanding.
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Savolainen, Reijo. "Pioneering models for information interaction in the context of information seeking and retrieval." Journal of Documentation 74, no. 5 (September 10, 2018): 966–86. http://dx.doi.org/10.1108/jd-11-2017-0154.
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Purpose The purpose of this paper is to clarify the conceptual issues of information behaviour research by reviewing the approaches to information interaction in the context of information seeking and retrieval (IS&R). Design/methodology/approach The study uses the conceptual analysis focussing on four pioneering models for interactive IS&R proposed by Belkin, Ingwersen and Ingwersen and Järvelin. Findings A main characteristic of models for information interaction is the tripartite setting identifying information resources accessible through information systems, intermediary/interface and user. Dialogue is a fundamental constituent of information interaction. Early models proposed by Belkin and Ingwersen focussed on the dialogue occurring in user-intermediary interaction, while more recent frameworks developed by Ingwersen and Järvelin devote more attention to dialogue constitutive of user-information system interaction. Research limitations/implications As the study focusses on four models developed within the period of 1984-2005, the findings cannot be generalised to depict the phenomena of information interaction as a whole. Further research is needed to model the specific features of information interaction occurring in the networked information environments in particular. Originality/value The study pioneers by providing an in-depth analysis of the ways in which pioneering researchers have conceptualised the phenomena of interaction in the context of IS&R. The findings contribute to the elaboration of the conceptual space of information behaviour research.