Dissertations / Theses: 'Retrieval and management'

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Romano, Nicholas C., Dmitri G. Roussinov, Jay F. Nunamaker, and Hsinchun Chen. "Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems." HICSS, 1999. http://hdl.handle.net/10150/105688.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabilities are rarely, and then only in a limited fashion, supported by current searching and visualization tools. Equally interesting is the fact that observations of user experiences with Group Support Systems (GSS) reveal that although access to external information and the ability to search for relevant material is often vital to the progress of GSS sessions, integrated support for collaborative searching and visualization of results is lacking in GSS systems. After reviewing both user experiences described in IR and GSS literature and observing and interviewing users of existing IR and GSS commercial and prototype systems, the authors conclude that there is an obvious demand for systems supporting multi-user IR.. It is surprising to the authors that very little attention has been given to the common ground shared by these two important research domains. With this in mind, our paper describes how user experiences with IR and GSS systems has shed light on a promising new area of collaborative research and led to the development of a prototype that merges the two paradigms into a Collaborative Information Retrieval Environment (CIRE). Finally the paper presents theory developed from initial user experiences with our prototype and describes plans to test the efficacy of this new paradigm empirically through controlled experimentation.

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Bernstein, Yaniv, and ybernstein@gmail com. "Detection and management of redundancy for information retrieval." RMIT University. Computer Science and Information Technology, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070417.160526.

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The growth of the web, authoring software, and electronic publishing has led to the emergence of a new type of document collection that is decentralised, amorphous, dynamic, and anarchic. In such collections, redundancy is a significant issue. Documents can spread and propagate across such collections without any control or moderation. Redundancy can interfere with the information retrieval process, leading to decreased user amenity in accessing information from these collections, and thus must be effectively managed. The precise definition of redundancy varies with the application. We restrict ourselves to documents that are co-derivative: those that share a common heritage, and hence contain passages of common text. We explore document fingerprinting, a well-known technique for the detection of co-derivative document pairs. Our new lossless fingerprinting algorithm improves the effectiveness of a range of document fingerprinting approaches. We empirically show that our algorithm can be highly effective at discovering co-derivative document pairs in large collections. We study the occurrence and management of redundancy in a range of application domains. On the web, we find that document fingerprinting is able to identify widespread redundancy, and that this redundancy has a significant detrimental effect on the quality of search results. Based on user studies, we suggest that redundancy is most appropriately managed as a postprocessing step on the ranked list and explain how and why this should be done. In the genomic area of sequence homology search, we explain why the existing techniques for redundancy discovery are increasingly inefficient, and present a critique of the current approaches to redundancy management. We show how document fingerprinting with a modified version of our algorithm provides significant efficiency improvements, and propose a new approach to redundancy management based on wildcards. We demonstrate that our scheme provides the benefits of existing techniques but does not have their deficiencies. Redundancy in distributed information retrieval systems - where different parts of the collection are searched by autonomous servers - cannot be effectively managed using traditional fingerprinting techniques. We thus propose a new data structure, the grainy hash vector, for redundancy detection and management in this environment. We show in preliminary tests that the grainy hash vector is able to accurately detect a good proportion of redundant document pairs while maintaining low resource usage.

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Pongsuwan, Wuttipong. "Design and implementation of a multimedia DBMS : retrieval management." Thesis, Monterey, California: Naval Postgraduate School, 1990. http://hdl.handle.net/10945/34924.

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Approved for public release; distribution unlimited.
Current conventional Database Management Systems (DBMS) manage only alphanumeric data. However, data to be stored in the future is expected to include some multimedia form, such as images, graphics, sounds or signals. The structure and the semantics of the media data and the operations on that data are complex. It is not clear what requirements are needed in a DBMS to manage this kind of data. It is also not clear what is needed in the data model to support this kind of data; nor what the user interface should be for such a system. The goal of the Multimedia Database Management System project in the computer science department of the Naval Post Graduate School is to build into a Database Management System (DBMS) the capability to manage multimedia data, as well as the formatted data, and define operations on multimedia data. This thesis, focusing only on the media data of image and sound, first describes the operations of such a system, then discusses the general design of it, and finally outline the detailed design and implementation of the retrieval operation.

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Dogan, Ebru. "Content-based Audio Management And Retrieval System For News Broadcasts." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611018/index.pdf.

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The audio signals can provide rich semantic cues for analyzing multimedia content, so audio information has been recently used for content-based multimedia indexing and retrieval. Due to growing amount of audio data, demand for efficient retrieval techniques is increasing. In this thesis work, we propose a complete, scalable and extensible audio based content management and retrieval system for news broadcasts. The proposed system considers classification, segmentation, analysis and retrieval of an audio stream. In the sound classification and segmentation stage, a sound stream is segmented by classifying each sub segment into silence, pure speech, music, environmental sound, speech over music, and speech over environmental sound in multiple steps. Support Vector Machines and Hidden Markov Models are employed for classification and these models are trained by using different sets of MPEG-7 features. In the analysis and retrieval stage, two alternatives exist for users to query audio data. The first of these isolates user from main acoustic classes by providing semantic domain based fuzzy classes. The latter offers users to query audio by giving an audio sample in order to find out the similar segments or by requesting expressive summary of the content directly. Additionally, a series of tests was conducted on audio tracks of TRECVID news broadcasts to evaluate the performance of the proposed solution.

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Chen, Min. "Knowledge assisted data management and retrieval in multimedia database sistems." FIU Digital Commons, 2007. http://digitalcommons.fiu.edu/etd/2139.

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With the proliferation of multimedia data and ever-growing requests for multimedia applications, there is an increasing need for efficient and effective indexing, storage and retrieval of multimedia data, such as graphics, images, animation, video, audio and text. Due to the special characteristics of the multimedia data, the Multimedia Database management Systems (MMDBMSs) have emerged and attracted great research attention in recent years. Though much research effort has been devoted to this area, it is still far from maturity and there exist many open issues. In this dissertation, with the focus of addressing three of the essential challenges in developing the MMDBMS, namely, semantic gap, perception subjectivity and data organization, a systematic and integrated framework is proposed with video database and image database serving as the testbed. In particular, the framework addresses these challenges separately yet coherently from three main aspects of a MMDBMS: multimedia data representation, indexing and retrieval. In terms of multimedia data representation, the key to address the semantic gap issue is to intelligently and automatically model the mid-level representation and/or semi-semantic descriptors besides the extraction of the low-level media features. The data organization challenge is mainly addressed by the aspect of media indexing where various levels of indexing are required to support the diverse query requirements. In particular, the focus of this study is to facilitate the high-level video indexing by proposing a multimodal event mining framework associated with temporal knowledge discovery approaches. With respect to the perception subjectivity issue, advanced techniques are proposed to support users’ interaction and to effectively model users’ perception from the feedback at both the image-level and object-level.

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Al-Qahtani, Meshal. "An empirical study for enhanced information retrieval and management techniques." Thesis, University of the West of Scotland, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.739193.

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Andric, Mirjana Andrija. "Exploiting metadata links to support information retrieval in document management systems." Thesis, University of Southampton, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427370.

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Xie, Haiyan. "User model driven architecture for information retrieval in construction project management." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0008374.

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Chen, Hsinchun. "From Information Retrieval to Knowledge Management Enabling Technologies and Best Practices." Elsevier, 1999. http://hdl.handle.net/10150/106079.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
In this era of the Internet and distributed multimedia computing, new and emerging classes of information technologies have swept into the lives of office workers and everyday people. As technologies and applications become more overwhelming, pressing, and diverse, several well-known information technology problems have become even more urgent. Information overload, a result of the ease of information creation and rendering via Internet and WWW, has become more evident in people’s lives. Significant variations of database formats and structures, the richness of information media text, audio, and video , and an abundance of multilingual information content also have created various information interoperability problems - structural interoperability, media interoperability, and multilingual interoperability.

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Pikas, Christina K. "Blog Searching for Competitive Intelligence, Brand Image, and Reputation Management." Information Today, Inc, 2005. http://hdl.handle.net/10150/106424.

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Reviews why it is important to search blogs for competitive intelligence, reputation management, and brand image management. Describes the structure of blogs and how to format searches in several search engines to effectively retrieve this information.

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Stern, Joshua Gallant. "STORI: selectable taxon ortholog retrieval iteratively." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/53377.

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Speciation and gene duplication are fundamental evolutionary processes that enable biological innovation. For over a decade, biologists have endeavored to distinguish orthology (homology caused by speciation) from paralogy (homology caused by duplication). Disentangling orthology and paralogy is useful to diverse fields such as phylogenetics, protein engineering, and genome content comparison. A common step in ortholog detection is the computation of Bidirectional Best Hits (BBH). However, we found this computation impractical for more than 24 Eukaryotic proteomes. Attempting to retrieve orthologs in less time than previous methods require, we developed a novel algorithm and implemented it as a suite of Perl scripts. This software, Selectable Taxon Ortholog Retrieval Iteratively (STORI), retrieves orthologous protein sequences for a set of user-defined proteomes and query sequences. While the time complexity of the BBH method is O(#taxa^2), we found that the average CPU time used by STORI may increase linearly with the number of taxa. To demonstrate one aspect of STORI’s usefulness, we used this software to infer the orthologous sequences of 26 ribosomal proteins (rProteins) from the large ribosomal subunit (LSU), for a set of 115 Bacterial and 94 Archaeal proteomes. Next, we used established tree-search methods to seek the most probable evolutionary explanation of these data. The current implementation of STORI runs on Red Hat Enterprise Linux 6.0 with installations of Moab 5.3.7, Perl 5 and several Perl modules. STORI is available at: .

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Tedori, Veronica. "Design of a safety management information and tracking system." Master's thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-03302010-020341/.

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Pasha, Muhammad Anwar-ur-Rehman. "Logic programming based information management tools for hypermedia systems." Thesis, University of Southampton, 1995. https://eprints.soton.ac.uk/426838/.

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Yoon, Janghyun. "A network-aware semantics-sensitive image retrieval system." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180459/unrestricted/yoon%5fjanghyun%5f200312%5fphd.pdf.

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Celik, Cigdem. "An Mpeg-7 Video Database System For Content-based Management And Retrieval." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606679/index.pdf.

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A video data model that allows efficient and effective representation and querying of spatio-temporal properties of objects has been previously developed. The data model is focused on the semantic content of video streams. Objects, events, activities performed by objects are the main interests of the model. The model supports fuzzy spatial queries including querying spatial relationships between objects and querying the trajectories of objects. In this thesis, this work is used as a basis for the development of an XML-based video database system. This system is aimed to be compliant with the MPEG-7 Multimedia Description Schemes in order to obey a universal standard. The system is implemented using a native XML database management system. Query entrance facilities are enhanced via integrating an NLP interface.

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Hlavina, Wratko. "TAKODO: Integrating documents with knowledge bases for information retrieval and knowledge management." Thesis, University of Ottawa (Canada), 2000. http://hdl.handle.net/10393/9320.

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The expanding availability of on-line information sources, such as on-line documents, corpora, and the World Wide Web, introduces some challenges. Most notably, users must search through this material to find high-quality, relevant information. This is the domain of information retrieval. Alternatively, knowledge bases present information in a very compact and structured representation. Unfortunately, their creation is labor intensive. In order to bridge the gap between the amount of structure in the information processed by information retrieval and knowledge engineering techniques, the author presents TAKODO, a tool and a framework designed for both (i) facilitating the extraction of knowledge from unstructured text, possibly to aid in the process of creating a knowledge base, and (ii) retrieving information from natural language texts and the knowledge base, using each to their mutual advantage. TAKODO integrates several existing applications, among them a question answering system, called Text Analyzer, and a frame-based knowledge management tool, called the Knowledge Organizer, with the additional support of corpus linguistic techniques.

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Kim, Mihye Computer Science &amp Engineering Faculty of Engineering UNSW. "Document management and retrieval for specialised domains: an evolutionary user-based approach." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2003. http://handle.unsw.edu.au/1959.4/19183.

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Browsing marked-up documents by traversing hyperlinks has become probably the most important means by which documents are accessed, both via the World Wide Web (WWW) and organisational Intranets. However, there is a pressing demand for document management and retrieval systems to deal appropriately with the massive number of documents available. There are two classes of solution: general search engines, whether for the WWW or an Intranet, which make little use of specific domain knowledge or hand-crafted specialised systems which are costly to build and maintain. The aim of this thesis was to develop a document management and retrieval system suitable for small communities as well as individuals in specialised domains on the Web. The aim was to allow users to easily create and maintain their own organisation of documents while ensuring continual improvement in the retrieval performance of the system as it evolves. The system developed is based on the free annotation of documents by users and is browsed using the concept lattice of Formal Concept Analysis (FCA). A number of annotation support tools were developed to aid the annotation process so that a suitable system evolved. Experiments were conducted in using the system to assist in finding staff and student home pages at the School of Computer Science and Engineering, University of New South Wales. Results indicated that the annotation tools provided a good level of assistance so that documents were easily organised and a lattice-based browsing structure that evolves in an ad hoc fashion provided good efficiency in retrieval performance. An interesting result suggested that although an established external taxonomy can be useful in proposing annotation terms, users appear to be very selective in their use of terms proposed. Results also supported the hypothesis that the concept lattice of FCA helped take users beyond a narrow search to find other useful documents. In general, lattice-based browsing was considered as a more helpful method than Boolean queries or hierarchical browsing for searching a specialised domain. We conclude that the concept lattice of Formal Concept Analysis, supported by annotation techniques is a useful way of supporting the flexible open management of documents required by individuals, small communities and in specialised domains. It seems likely that this approach can be readily integrated with other developments such as further improvements in search engines and the use of semantically marked-up documents, and provide a unique advantage in supporting autonomous management of documents by individuals and groups - in a way that is closely aligned with the autonomy of the WWW.

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Tran, Allen Quoc-Luan. "A network management facility for a fault-tolerant distributed information retrieval system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0010/MQ53394.pdf.

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Katsarona, Stavros. "SCANTRAX - an associative string processor for relational database management and text retrieval." Thesis, Brunel University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292397.

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Fang, Daren. "A semantic framework for unified cloud service search, recommendation, retrieval and management." Thesis, Edinburgh Napier University, 2015. http://researchrepository.napier.ac.uk/Output/9836.

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Cloud computing (CC) is a revolutionary paradigm of consuming Information and Communication Technology (ICT) services. However, while trying to find the optimal services, many users often feel confused due to the inadequacy of service information description. Although some efforts are made in the semantic modelling, retrieval and recommendation of cloud services, existing practices would only work effectively for certain restricted scenarios to deal for example with basic and non-interactive service specifications. In the meantime, various service management tasks are usually performed individually for diverse cloud resources for distinct service providers. This results into significant decreased effectiveness and efficiency for task implementation. Fundamentally, it is due to the lack of a generic service management interface which enables a unified service access and manipulation regardless of the providers or resource types. To address the above issues, the thesis proposes a semantic-driven framework, which integrates two main novel specification approaches, known as agility-oriented and fuzziness-embedded cloud service semantic specifications, and cloud service access and manipulation request operation specifications. These consequently enable comprehensive service specification by capturing the in-depth cloud concept details and their interactions, even across multiple service categories and abstraction levels. Utilising the specifications as CC knowledge foundation, a unified service recommendation and management platform is implemented. Based on considerable experiment data collected on real-world cloud services, the approaches demonstrate distinguished effectiveness in service search, retrieval and recommendation tasks whilst the platform shows outstanding performance for a wide range of service access, management and interaction tasks. Furthermore, the framework includes two sets of innovative specification processing algorithms specifically designed to serve advanced CC tasks: while the fuzzy rating and ontology evolution algorithms establish a manner of collaborative cloud service specification, the service orchestration reasoning algorithms reveal a promising means of dynamic service compositions.

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Müller, Michael. "Retrieval and Analysis of Software Systems from SCM Repositories." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1603.

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One source of input data for software evolution research is data stored inside a software configuration management repository. The data includes different versions of a software system’s source code as well as version history metadata, such as check-in dates or log messages. Inherently, extracting this data manually is a time- and labor intensive task. The subsequent preprocessing step and the appropriate storage of the results, necessary to utilize the data for further analysis, is an additional effort for the researcher.

The goal of this thesis is to design and implement a front-end plug-in for an existing software comprehension tool, the VizzAnalyzer, providing the capability to extract and analyze multiple versions and evolutional information of software systems from SCM repositories and to store the results. Thereby, the implemented solution provides the infrastructure for software evolution research.

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Huml, Kathy Pederson. "Intelligent Data Object Management System (IDOMS)." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9918.

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On, Sai Tung. "Efficient transaction recovery on flash disks." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1170.

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Sanz, Blasco Ismael. "Flexible techniques for heterogeneous XML data retrieval." Doctoral thesis, Universitat Jaume I, 2007. http://hdl.handle.net/10803/10373.

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The progressive adoption of XML by new communities of users has motivated the appearance of applications that require the management of large and complex collections, which present a large amount of heterogeneity. Some relevant examples are present in the fields of bioinformatics, cultural heritage, ontology management and geographic information systems, where heterogeneity is not only reflected in the textual content of documents, but also in the presence of rich structures which cannot be properly accounted for using fixed schema definitions. Current approaches for dealing with heterogeneous XML data are, however, mainly focused at the content level, whereas at the structural level only a limited amount of heterogeneity is tolerated; for instance, weakening the parent-child relationship between nodes into the ancestor-descendant relationship.
The main objective of this thesis is devising new approaches for querying heterogeneous XML collections. This general objective has several implications: First, a collection can present different levels of heterogeneity in different granularity levels; this fact has a significant impact in the selection of specific approaches for handling, indexing and querying the collection. Therefore, several metrics are proposed for evaluating the level of heterogeneity at different levels, based on information-theoretical considerations. These metrics can be employed for characterizing collections, and clustering together those collections which present similar characteristics.
Second, the high structural variability implies that query techniques based on exact tree matching, such as the standard XPath and XQuery languages, are not suitable for heterogeneous XML collections. As a consequence, approximate querying techniques based on similarity measures must be adopted. Within the thesis, we present a formal framework for the creation of similarity measures which is based on a study of the literature that shows that most approaches for approximate XML retrieval (i) are highly tailored to very specific problems and (ii) use similarity measures for ranking that can be expressed as ad-hoc combinations of a set of --basic' measures. Some examples of these widely used measures are tf-idf for textual information and several variations of edit distances. Our approach wraps these basic measures into generic, parametrizable components that can be combined into complex measures by exploiting the composite pattern, commonly used in Software Engineering. This approach also allows us to integrate seamlessly highly specific measures, such as protein-oriented matching functions.
Finally, these measures are employed for the approximate retrieval of data in a context of highly structural heterogeneity, using a new approach based on the concepts of pattern and fragment. In our context, a pattern is a concise representations of the information needs of a user, and a fragment is a match of a pattern found in the database. A pattern consists of a set of tree-structured elements --- basically an XML subtree that is intended to be found in the database, but with a flexible semantics that is strongly dependent on a particular similarity measure. For example, depending on a particular measure, the particular hierarchy of elements, or the ordering of siblings, may or may not be deemed to be relevant when searching for occurrences in the database.
Fragment matching, as a query primitive, can deal with a much higher degree of flexibility than existing approaches. In this thesis we provide exhaustive and top-k query algorithms. In the latter case, we adopt an approach that does not require the similarity measure to be monotonic, as all previous XML top-k algorithms (usually based on Fagin's algorithm) do. We also presents two extensions which are important in practical settings: a specification for the integration of the aforementioned techniques into XQuery, and a clustering algorithm that is useful to manage complex result sets.
All of the algorithms have been implemented as part of ArHeX, a toolkit for the development of multi-similarity XML applications, which supports fragment-based queries through an extension of the XQuery language, and includes graphical tools for designing similarity measures and querying collections. We have used ArHeX to demonstrate the effectiveness of our approach using both synthetic and real data sets, in the context of a biomedical research project.

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Kim, Hyojun. "Informed storage management for mobile platforms." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45768.

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Storage devices are rapidly changing, and we need to adapt the OS storage software stack to keep up with the changes. Such a re-evaluation of the storage software stack is especially required for mobile platforms because they are relying on inexpensive flash storage devices having very different performance characteristics from the familiar hard disk.In this thesis work, we first show the importance of storage in mobile platforms; contrary to conventional wisdom, we find evidence that storage is a significant contributor to application performance on mobile devices. Then, we explore the solution space for flash storage; user-level library for selective logging, host-side write buffering layer, and OS buffer replacement scheme for flash storage have been studied. Finally, we build an integrated solution for smartphone storage, named Fjord. In the Fjord study, we re-design logging and RAM buffering solutions for smartphones, and also propose fine-grained reliability control mechanisms. We prove that non-volatile logging can improve storage performance remarkably. Understanding the characteristics of cloud-backed applications and controlling the reliability constraint for chosen cloud-backed applications can achieve additional significant performance gain.We implement and evaluate our solution on a real Android smartphone, and demonstrate significant performance gains for everyday apps on such platforms.

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Dunkin, Ann Elizabeth. "Analysis and design of storage and retrieval systems for tote sized loads." Thesis, Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/25525.

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Yang, Zhen. "Intelligent information retrieval and fault diagnosis for the asset management of power substations." Thesis, University of Liverpool, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494084.

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This thesis mainly presents two intelligent approaches to the Asset Management (AM) of power substations, which include an Evidential Reasoning (ER)-based document ranking approach to an Ontology-based Document Search Engine (ODSE) for the Information Retrieval (IR) of power substations and an Association Rule Mining (ARM)-based Dissolved Gas Analysis (DGA) approach to the Fault Diagnosis (FD) of power transformers.

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Fulmer, Charles A. "Developing information storage and retrieval systems on the internet a knowledge management approach." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5596.

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Approved for public release; distribution is unlimited
Search is becoming the primary way in which people get information. In 2010, global Internet usage was over two billion people, with 92% of online adults using search engines to find information. Most commercial search engines (Google, Yahoo, Bing, etc.) provide their indexing and search services at no cost. The DoD can achieve large gains at a small cost by making public documents available to search engines. This can be achieved through the utilization of important design components and effective knowledge management. This thesis examines methods for making information available to search engines at the Naval Postgraduate School (NPS) and the Defense Technical Information Center (DTIC). In a large-scale project, over 200,000 documents were organized on the website dodreports.com. The results of this research revealed improvement gains of 8-20% for finding reports through commercial search engines during the first six months of implementation.

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Park, Byung Chun. "Analytical models and optimal strategies for automated storage/retrieval system operations." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/24568.

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Mullin, Jim. "Prototype system for document management." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9868.

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Kuntz, Reinhard. "Kollaborative Weiterentwicklung von Lernmaterial unter Verwendung eines Trust-Management-Systems." [S.l.] : Universität Stuttgart / Fakultät Informatik, Elektrotechnik und Informationstechnik, 2004. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11244207.

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Eckstein, Raiko [Verfasser], and Andreas [Akademischer Betreuer] Henrich. "Interactive Search Processes in Complex Work Situations : A Retrieval Framework / Raiko Eckstein. Betreuer: Andreas Henrich." Bamberg : Universitätsbibliothek der Universität Bamberg, 2011. http://d-nb.info/1015452205/34.

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Tatarinov, Igor. "Semantic data sharing with a peer data management system /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/6942.

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Burton, Alan. "A sublanguage of English for database query in a managerial environment." Thesis, University of Sunderland, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292236.

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Lieu, Charlene A. (Charlene Ann). "Impact of inventory storage and retrieval schemes on productivity." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34847.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2005.
Includes bibliographical references.
The operational management of high volume, multi-line distribution warehouses is a monumental undertaking, which only a handful of companies in the world have chosen to tackle. Amazon.com is amongst the few, and has further differentiated itself because of its direct to customer method of distribution and complex order mixes. There is no other retailer that carries and directly delivers as many different products (over 4 million different unique items) in as wide range of product categories (from music to cosmetics to electronics to garden hoses) in as high of volume as Amazon.com. The nature of Amazon's retail model and its organic growth over the past decade has made its fulfillment centers a complex beast to decipher. Decisions on the fulfillment center floor are composed of intricate balances between demand constraints, equipment bottlenecks, storage limitations and labor costs, making the true cost associated with each variable dependent on every other variable. The goal of this thesis is to document a practical exploration of inventory storage and retrieval schemes and its relationships to productivity (and subsequently cost), as well as identify implementable changes that yields higher throughput, lower lead time for order fulfillment, and ultimately dollar savings. Of particular interest are operationally transparent process changes, which improve processes in a manner that minimize impact on the fulfillment center floor. This concept will be the central theme of all recommendations resulting from this thesis.
by Charlene (Charlie) A. Lieu.
S.M.
M.B.A.

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Kalmegh, Prajakta. "Image mining methodologies for content based retrieval." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/39587.

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The thesis presents a system for content based image retrieval and mining. The research presents a design of a scalable solution for efficient retrieval of images from large image databases using image features such as color, shape and texture. A framework for automatic labeling of images and clustering of meta data in database based on the dominant shapes, textures and colors in the image is proposed. The thesis also presents a new image tagging methodology to annotate the dominant image features to the image as meta data. The users of this system can input a query image and select similar image retrieval criteria by selecting a feature type from amongst color, texture or shape. The system retrieves images from the database that match the specified pattern and displays them by relevance. The user can enter a set of keywords or a combination of keywords that form the input text query. Images in the database that match the input text query are fetched and displayed. This ensures content based similar image search even for text based search. An efficient clustering algorithm is shown to improve the image retrieval by an order of magnitude.

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37

Raymond, Scott P. "Operation and Maintenance Support Information (OMSI) creation, management, and repurposing with XML." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FRaymond.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, Sept. 2004.
Thesis Advisor(s): Daniel R. Dolk, Gordon H. Bradley. Includes bibliographical references (p. 119-120, 121-122). Also available online.

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38

Walker, Donald. "Similarity Determination and Case Retrieval in an Intelligent Decision Support System for Diabetes Management." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1194562654.

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39

Turner, Adriane(Adriane A. ). "Evaluation of automated storage and retrieval in a distribution center." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126987.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 53-54).
In the face of e-commerce growth and rising customer delivery expectations, companies must adapt to meet shorter contract shipping requirements with existing infrastructures. The "Amazon effect", an evolution resulting in increased online shopping and direct-to-consumer order fulfillment, is reverberating through the retail industry and requiring manufacturers to evaluate their existing supply chain networks to meet two- and one-day shipping from their distribution centers (DC). This thesis evaluates speed and execution improvements using automated storage and retrieval systems (ASRS) in DCs. Adopting ASRS can provide the essential capability upgrades to reduce material processing time and meet direct-to-consumer deliveries. The ASRS analysis reviews current DC metrics, future throughput and inventory requirements, comparisons of ASRS technologies utilized today, expected impact of ASRS inside of an existing DC, and sizing and selection of an ASRS. Analysis of the DC evaluated showed that the primary cause of delays in shipping time was due to high variability in task completion time, rather than a high average completion time, causing extended wait times to propagate throughout the DC. While methods to reduce task time variation can be implemented, a warehouse logic upgrade would allow for real-time sequencing to get products shipped in the correct order based on factors like shipping method, customer, or priority. Implementation of ASRS in the DC evaluated could decrease processing time in storage and retrieval by 67% and total processing time through the DC by 37% due to ideal sequencing, diminished downstream variability, and reduced work in progress. The payback period for ASRS is projected to be 4 to 5 years..
by Adriane Turner.
M.B.A.
S.M.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering

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40

Ma, Shanshan Wiedenbeck Susan McCain Katherine Wootton. "Using hierarchical folders and tags for file management /." Philadelphia, Pa. : Drexel University, 2010. http://hdl.handle.net/1860/3271.

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41

Wang, Hongwei. "The retrieval and reuse of engineering knowledge from records of design rationale." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610290.

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42

Arditi, Rocha Luis M. "Intelligent retrieval system for conditions of contract documents in construction." FIU Digital Commons, 1992. http://digitalcommons.fiu.edu/etd/1304.

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The outcome of this research is an Intelligent Retrieval System for Conditions of Contract Documents. The objective of the research is to improve the method of retrieving data from a computer version of a construction Conditions of Contract document. SmartDoc, a prototype computer system has been developed for this purpose. The system provides recommendations to aid the user in the process of retrieving clauses from the construction Conditions of Contract document. The prototype system integrates two computer technologies: hypermedia and expert systems. Hypermedia is utilized to provide a dynamic way for retrieving data from the document. Expert systems technology is utilized to build a set of rules that activate the recommendations to aid the user during the process of retrieval of clauses. The rules are based on experts knowledge. The prototype system helps the user retrieve related clauses that are not explicitly cross-referenced but, according to expert experience, are relevant to the topic that the user is interested in.

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43

Shukla, Ishani. "Information Retrieval Using the Constructivist's Approach to Get the Most Out of the Internet." DigitalCommons@USU, 2009. https://digitalcommons.usu.edu/etd/520.

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The constructivist's theory and its application to information retrieval from the Internet was reviewed. The main aim of the study was to devise and test an approach with which the most relevant information could be easily and efficiently extracted from the Internet. The impact of a judicious choice of the keywords to retrieve information, according to the particular approach to be implemented as well as the importance of speed reading as an additional technique to improve information retrieval, was compared and critically analyzed. The study was based on information retrieval from www.google.com and www.images.google.com and focused on real-life examples and goal-directed searches. After a careful selection, the criteria used for evaluation were factors such as data quality, accuracy, integrity, and speed of retrieval. These factors helped to determine how useful the constructivist theory could be in information retrieval if it was to be applied in combination with speed reading and traditional approaches.

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44

SEQUEIRA, SARITA CARMEL. "INVESTIGATION AND EVALUATION OF A VHDL-AMS MODEL DATABASE." University of Cincinnati / OhioLINK, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=ucin972311716.

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45

Labert, Matthew J. "Implementation of information assurance risk management training into existing Department of the Navy training pipelines /." Thesis, Monterey, California. Naval Postgraduate School, 2002. http://hdl.handle.net/10945/5991.

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Approved for public release, distribution is unlimited
With the implementation and continuing research on information systems, such as Information Technology for the 21st Century (IT-21), Navy-Marine Corps Intranet (NMCI), and "Network-Centric warfare," there is little doubt that the Navy is becoming heavily dependent on information and information systems. Though much has been accomplished technically to protect and defend these systems, an important security issue has thus far been overlooked-the human factor. Information Assurance Risk Management (IARM) was a proposal to standardize the way DON personnel discuss, treat, and implement information assurance. IARM addresses the human security aspect of information and information systems in a regimented way to be understandable through all levels of the DON. To standardize the way DON personnel perceive information assurance, they must be taught what IARM is and how to use it. Can an IARM course be implemented in the DON, and if so at what level and to whom should it be taught?

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46

ABEYSINGHE, RUVINI PRADEEPA. "SIGNATURE FILES FOR DOCUMENT MANAGEMENT." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin990539054.

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47

Dlamini, Dudu Nomangwane Bawinile. "The management of indigenous knowledge in Swaziland, with specific reference to the Swaziland National Library Service (SNLS)." Thesis, University of the Western Cape, 2005. http://etd.uwc.ac.za/index.php?module=etd&amp.

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Indigenous knowledge systems (IKSs) have made positive contributions in agriculture
health care
medicine
food preparation and preservation
land use
education and a host of other activities in rural communities as well as in urban ones (Warren, 1991:26). Yet hardly a day goes by when an elderly man or woman does not die with all the wealth of knowledge, which is then buried beyond recovery. Therefore, there is a need for institutions, which are in the business of information like libraries and/or information centers to manage (collect, document, organize, store, disseminate) the indigenous knowledge for potential contribution in present and future endeavours. Ngulube (2002: 96) rightly points out that the loss of IK will &ldquo
impoverish society&rdquo
.

The main aim of the study was to explore the issue if indigenous knowledge within the library and information sector, specifically within the Swaziland National Library Service
investigate if IK is managed
determine how it can best be managed in order to contribute positively to the community
and identify ways to best manage it. This study adopted the qualitative research methodology using the triangulation method, which allows the use of different data collection techniques.

The study found that Swaziland National Library Service (SNLS) manages IK, but at a very low level. Lack of funds is one major issue that has been voiced as the biggest hindrance to Indigenous Knowledge Management and that Library and information professionals are not adequately trained to manage IK. The study also discovered that Library and information services in Swaziland are still very much book-based and very much westernized, such that only a select elite is catered for by the current services. Intellectual property rights are not dealt with, with respect to IK.

From the findings, this study recommends that Library and information professionals include indigenous knowledge in the existing collection development policies or must design collection development policies that include IK.

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48

Megler, Veronika Margaret. "Ranked Similarity Search of Scientific Datasets| An Information Retrieval Approach." Thesis, Portland State University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3629331.

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In the past decade, the amount of scientific data collected and generated by scientists has grown dramatically. This growth has intensified an existing problem: in large archives consisting of datasets stored in many files, formats and locations, how can scientists find data relevant to their research interests? We approach this problem in a new way: by adapting Information Retrieval techniques, developed for searching text documents, into the world of (primarily numeric) scientific data. We propose an approach that uses a blend of automated and curated methods to extract metadata from large repositories of scientific data. We then perform searches over this metadata, returning results ranked by similarity to the search criteria. We present a model of this approach, and describe a specific implementation thereof performed at an ocean-observatory data archive and now running in production. Our prototype implements scanners that extract metadata from datasets that contain different kinds of environmental observations, and a search engine with a candidate similarity measure for comparing a set of search terms to the extracted metadata. We evaluate the utility of the prototype by performing two user studies; these studies show that the approach resonates with users, and that our proposed similarity measure performs well when analyzed using standard Information Retrieval evaluation methods. We performed performance tests to explore how continued archive growth will affect our goal of interactive response, developed and applied techniques that mitigate the effects of that growth, and show that the techniques are effective. Lastly, we describe some of the research needed to extend this initial work into a true “Google for data”.

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49

Law, King Yiu. "Two routing strategies with cost update in integrated automated storage and retrieval system /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?IELM%202007%20LAW.

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50

Cui, Zheng. "Management, retrieval, and visualization of spatial data from airborne light detection and ranging system (LIDAR) survey." FIU Digital Commons, 2001. http://digitalcommons.fiu.edu/etd/2685.

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The primary purpose of this research was to develop new methodologies to process and analyze large amount of topographic data from airborne LIDAR (light detection and ranging) survey. This research developed a suite of algorithms to resample dense clouds of point data from LIDAR survey, cut the large data set into smaller tiles, and filtered data to remove points from non-ground surface features such as vegetations, buildings, and vehicles. These algorithms were implemented on the PC platform using C++. The test results showed that the developed application software package based on these algorithms worked well. This application software package provided users an efficient way to retrieve, analyze, and display large volumes of LIDAR survey data, and to extract topographic information.

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Dissertations / Theses on the topic 'Retrieval and management'

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