Relevant bibliographies by topics / Information retrieval Methodology

Academic literature on the topic 'Information retrieval Methodology'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Information retrieval Methodology"

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Qaiser Abbas. "Classical and Probabilistic Information Retrieval Techniques: An Audit." Lahore Garrison University Research Journal of Computer Science and Information Technology 5, no. 3 (September 12, 2021): 84–91. http://dx.doi.org/10.54692/lgurjcsit.2021.0503221.

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Information retrieval is acquiring particular information from large resources and presenting it according to the user’s need. The incredible increase in information resources on the Internet formulates the information retrieval procedure, a monotonous and complicated task for users. Due to over access of information, better methodology is required to retrieve the most appropriate information from different sources. The most important information retrieval methods include the probabilistic, fuzzy set, vector space, and boolean models. Each of these models usually are used for evaluating the connection between the question and the retrievable documents. These methods are based on the keyword and use lists of keywords to evaluate the information material. In this paper, we present a survey of these models so that their working methodology and limitations are discussed. This is an important understanding because it makes possible to select an information retrieval technique based on the basic requirements. The survey results showed that the existing model for knowledge recovery is somewhere short of what was planned. We have also discussed different areas of IR application where these models could be used.
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Marcos-Pablos, Samuel, and Francisco J. García-Peñalvo. "Information retrieval methodology for aiding scientific database search." Soft Computing 24, no. 8 (October 12, 2018): 5551–60. http://dx.doi.org/10.1007/s00500-018-3568-0.

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Burton, Sharon P., Eduard Chemyakin, Xu Liu, Kirk Knobelspiesse, Snorre Stamnes, Patricia Sawamura, Richard H. Moore, Chris A. Hostetler, and Richard A. Ferrare. "Information content and sensitivity of the 3<i>β</i> + 2<i>α</i> lidar measurement system for aerosol microphysical retrievals." Atmospheric Measurement Techniques 9, no. 11 (November 22, 2016): 5555–74. http://dx.doi.org/10.5194/amt-9-5555-2016.

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Abstract. There is considerable interest in retrieving profiles of aerosol effective radius, total number concentration, and complex refractive index from lidar measurements of extinction and backscatter at several wavelengths. The combination of three backscatter channels plus two extinction channels (3β + 2α) is particularly important since it is believed to be the minimum configuration necessary for the retrieval of aerosol microphysical properties and because the technological readiness of lidar systems permits this configuration on both an airborne and future spaceborne instrument. The second-generation NASA Langley airborne High Spectral Resolution Lidar (HSRL-2) has been making 3β + 2α measurements since 2012. The planned NASA Aerosol/Clouds/Ecosystems (ACE) satellite mission also recommends the 3β + 2α combination.Here we develop a deeper understanding of the information content and sensitivities of the 3β + 2α system in terms of aerosol microphysical parameters of interest. We use a retrieval-free methodology to determine the basic sensitivities of the measurements independent of retrieval assumptions and constraints. We calculate information content and uncertainty metrics using tools borrowed from the optimal estimation methodology based on Bayes' theorem, using a simplified forward model look-up table, with no explicit inversion. The forward model is simplified to represent spherical particles, monomodal log-normal size distributions, and wavelength-independent refractive indices. Since we only use the forward model with no retrieval, the given simplified aerosol scenario is applicable as a best case for all existing retrievals in the absence of additional constraints. Retrieval-dependent errors due to mismatch between retrieval assumptions and true atmospheric aerosols are not included in this sensitivity study, and neither are retrieval errors that may be introduced in the inversion process. The choice of a simplified model adds clarity to the understanding of the uncertainties in such retrievals, since it allows for separately assessing the sensitivities and uncertainties of the measurements alone that cannot be corrected by any potential or theoretical improvements to retrieval methodology but must instead be addressed by adding information content.The sensitivity metrics allow for identifying (1) information content of the measurements vs. a priori information; (2) error bars on the retrieved parameters; and (3) potential sources of cross-talk or "compensating" errors wherein different retrieval parameters are not independently captured by the measurements. The results suggest that the 3β + 2α measurement system is underdetermined with respect to the full suite of microphysical parameters considered in this study and that additional information is required, in the form of additional coincident measurements (e.g., sun-photometer or polarimeter) or a priori retrieval constraints. A specific recommendation is given for addressing cross-talk between effective radius and total number concentration.
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Kolassa, J., F. Aires, J. Polcher, C. Prigent, C. Jimenez, and J. M. Pereira. "Soil moisture retrieval from multi-instrument observations: Information content analysis and retrieval methodology." Journal of Geophysical Research: Atmospheres 118, no. 10 (May 17, 2013): 4847–59. http://dx.doi.org/10.1029/2012jd018150.

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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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Rohen, G. J., C. v. Savigny, J. W. Kaiser, E. J. Llewellyn, L. Froidevaux, M. López-Puertas, T. Steck, et al. "Ozone profile retrieval from limb scatter measurements in the HARTLEY bands: methodology, algorithm description, sensitivity studies, and validation." Atmospheric Chemistry and Physics Discussions 7, no. 4 (August 16, 2007): 12097–143. http://dx.doi.org/10.5194/acpd-7-12097-2007.

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Abstract. SCIAMACHY limb scatter spectra have been used to retrieve atmospheric ozone profiles in the upper stratosphere and lower mesosphere. Through a selection of the wavelengths in the HARTLEY bands of ozone, profiles extending to 60 or 70 km altitude were retrieved. This constitutes the highest possible ozone profile information retrieval using the backscatter technique. Comparisons with profiles measured by a ground based radiometer in Norway, MIPAS on board ENVISAT, HALOE on UARS and MLS on AURA indicate a good agreement of the ozone profiles in the upper stratosphere within 10% but also an increasing overestimation above 50 to 55 km. Sensitivity studies show that solar zenith uncertainty and tangent height errors are the largest error sources. Although the tangent height is corrected through an own retrieval the correction seemed to be be worser with increasing altitude and remains therefore as the largest error source for this presented profile retrieval.
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Eayrs, Martin. "A Principled Methodology for Information Retrieval on the Web." Issues in Informing Science and Information Technology 3 (2006): 211–18. http://dx.doi.org/10.28945/884.

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Sharma, Pawan, and Tripathi R.C. "Patent Database : A Methodology of Information Retrieval From PDF." International Journal of Database Management Systems 5, no. 5 (October 31, 2013): 9–16. http://dx.doi.org/10.5121/ijdms.2013.5502.

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Vicente-López, Eduardo, Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Antonio Tagua-Jiménez, and Carmen Tur-Vigil. "An automatic methodology to evaluate personalized information retrieval systems." User Modeling and User-Adapted Interaction 25, no. 1 (June 26, 2014): 1–37. http://dx.doi.org/10.1007/s11257-014-9148-9.

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Bergman, Ofer, Tamar Israeli, and Steve Whittaker. "Factors hindering shared files retrieval." Aslib Journal of Information Management 72, no. 1 (December 16, 2019): 130–47. http://dx.doi.org/10.1108/ajim-05-2019-0120.

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Purpose Personal information management (PIM) is an activity in which people store information items in order to retrieve them later. The purpose of this paper is to test and quantify the effect of factors related to collection size, file properties and workload on file retrieval success and efficiency. Design/methodology/approach In the study, 289 participants retrieved 1,557 of their shared files in a naturalistic setting. The study used specially developed software designed to collect shared files’ names and present them as targets for the retrieval task. The dependent variables were retrieval success, retrieval time and misstep/s. Findings Various factors compromise shared files retrieval including: collection size (large number of files), file properties (multiple versions, size of team sharing the file, time since most recent retrieval and folder depth) and workload (daily e-mails sent and received). The authors discuss theoretical reasons for these negative effects and suggest possible ways to overcome them. Originality/value Retrieval is the main reason people manage personal information. It is essential for retrieval to be successful and efficient, as information cannot be used unless it can be re-accessed. Prior PIM research has assumed that factors related to collection size, file properties and workload affect file retrieval. However, this is the first study to systematically quantify the negative effects of these factors. As each of these factors is expected to be exacerbated in the future, this study is a necessary first step toward addressing these problems.
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Dissertations / Theses on the topic "Information retrieval Methodology"

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Yeung, Chung Kei. "Ontological model for information systems development methodology." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/702.

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Fraser, Mark E. "Architecture and methodology for storage, retrieval and presentation of geo-spatial information." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000316.

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Thesis (M.S.)--University of Florida, 2001.
Title from title page of source document. Document formatted into pages; contains xi, 77 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Ziesmer, Daniel J. "Developing a methodology for creating flexible instructional information technology laboratories." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/DZiesmerPartI2006.pdf.

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Muthaiyah, Saravanan. "A framework and methodology for ontology mediation through semantic and syntactic mapping." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3070.

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Thesis (Ph. D.)--George Mason University, 2008.
Vita: p. 177. Thesis director: Larry Kerschberg. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Technology. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 169-176). Also issued in print.
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Järvelin, Kalervo. "User charge estimation in numeric online databases a methodology /." Tampere : University of Tampere, 1986. http://catalog.hathitrust.org/api/volumes/oclc/18665006.html.

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Liu, Fei. "Adaptive search in consumer-generated content environment: an information foraging perspective." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/326.

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Inefficiencies associated with online information search are becoming increasingly prevalent in digital environments due to a surge in Consumer Generated Content (CGC). Despite growing scholarly interest in investigating users' information search behavior in CGC environments, there is a paucity of studies that explores the phenomenon from a theory-guided angle. Drawing on Information Foraging Theory (IFT), we re-conceptualize online information search as a form of adaptive user behavior in response to system design constraints. Through this theoretical lens, we advance separate taxonomies for online information search tactics and strategies, both of which constitute essential building blocks of the search process. Furthermore, we construct a research framework that bridges the gap between online information search tactics and strategies by articulating how technology-enabled search tactics contribute to the fulfillment of strategic search goals. We validate our research framework via an online experiment by recruiting participants from Amazon Mechanical Turk (AMT). Participants were tasked to perform searches on custom-developed online review websites, which were modeled after a popular online review website and populated with real restaurant review data. Empirical findings reveal that the provision of different search features indeed engenders distinct search tactics, thereby allowing users varying levels of search determination control and search manipulation control. In turn, both types of search controls affects users' result anticipation and search costs, which when combined, determine the efficiency of goal-oriented search strategy and the utility of exploratory search strategy. This study provides valuable insights that can guide future research and practice.
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Hamilton, John, Ronald Fernandes, Timothy Darr, Michael Graul, Charles Jones, and Annette Weisenseel. "A Model-Based Methodology for Managing T&E Metadata." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606019.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada
In this paper, we present a methodology for managing diverse sources of T&E metadata. Central to this methodology is the development of a T&E Metadata Reference Model, which serves as the standard model for T&E metadata types, their proper names, and their relationships to each other. We describe how this reference model can be mapped to a range's own T&E data and process models to provide a standardized view into each organization's custom metadata sources and procedures. Finally, we present an architecture that uses these models and mappings to support cross-system metadata management tasks and makes these capabilities accessible across the network through a single portal interface.
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Dong, Hai. "A customized semantic service retrieval methodology for the digital ecosystems environment." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/2345.

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With the emergence of the Web and its pervasive intrusion on individuals, organizations, businesses etc., people now realize that they are living in a digital environment analogous to the ecological ecosystem. Consequently, no individual or organization can ignore the huge impact of the Web on social well-being, growth and prosperity, or the changes that it has brought about to the world economy, transforming it from a self-contained, isolated, and static environment to an open, connected, dynamic environment. Recently, the European Union initiated a research vision in relation to this ubiquitous digital environment, known as Digital (Business) Ecosystems. In the Digital Ecosystems environment, there exist ubiquitous and heterogeneous species, and ubiquitous, heterogeneous, context-dependent and dynamic services provided or requested by species. Nevertheless, existing commercial search engines lack sufficient semantic supports, which cannot be employed to disambiguate user queries and cannot provide trustworthy and reliable service retrieval. Furthermore, current semantic service retrieval research focuses on service retrieval in the Web service field, which cannot provide requested service retrieval functions that take into account the features of Digital Ecosystem services. Hence, in this thesis, we propose a customized semantic service retrieval methodology, enabling trustworthy and reliable service retrieval in the Digital Ecosystems environment, by considering the heterogeneous, context-dependent and dynamic nature of services and the heterogeneous and dynamic nature of service providers and service requesters in Digital Ecosystems.The customized semantic service retrieval methodology comprises: 1) a service information discovery, annotation and classification methodology; 2) a service retrieval methodology; 3) a service concept recommendation methodology; 4) a quality of service (QoS) evaluation and service ranking methodology; and 5) a service domain knowledge updating, and service-provider-based Service Description Entity (SDE) metadata publishing, maintenance and classification methodology.The service information discovery, annotation and classification methodology is designed for discovering ubiquitous service information from the Web, annotating the discovered service information with ontology mark-up languages, and classifying the annotated service information by means of specific service domain knowledge, taking into account the heterogeneous and context-dependent nature of Digital Ecosystem services and the heterogeneous nature of service providers. The methodology is realized by the prototype of a Semantic Crawler, the aim of which is to discover service advertisements and service provider profiles from webpages, and annotating the information with service domain ontologies.The service retrieval methodology enables service requesters to precisely retrieve the annotated service information, taking into account the heterogeneous nature of Digital Ecosystem service requesters. The methodology is presented by the prototype of a Service Search Engine. Since service requesters can be divided according to the group which has relevant knowledge with regard to their service requests, and the group which does not have relevant knowledge with regard to their service requests, we respectively provide two different service retrieval modules. The module for the first group enables service requesters to directly retrieve service information by querying its attributes. The module for the second group enables service requesters to interact with the search engine to denote their queries by means of service domain knowledge, and then retrieve service information based on the denoted queries.The service concept recommendation methodology concerns the issue of incomplete or incorrect queries. The methodology enables the search engine to recommend relevant concepts to service requesters, once they find that the service concepts eventually selected cannot be used to denote their service requests. We premise that there is some extent of overlap between the selected concepts and the concepts denoting service requests, as a result of the impact of service requesters’ understandings of service requests on the selected concepts by a series of human-computer interactions. Therefore, a semantic similarity model is designed that seeks semantically similar concepts based on selected concepts.The QoS evaluation and service ranking methodology is proposed to allow service requesters to evaluate the trustworthiness of a service advertisement and rank retrieved service advertisements based on their QoS values, taking into account the contextdependent nature of services in Digital Ecosystems. The core of this methodology is an extended CCCI (Correlation of Interaction, Correlation of Criterion, Clarity of Criterion, and Importance of Criterion) metrics, which allows a service requester to evaluate the performance of a service provider in a service transaction based on QoS evaluation criteria in a specific service domain. The evaluation result is then incorporated with the previous results to produce the eventual QoS value of the service advertisement in a service domain. Service requesters can rank service advertisements by considering their QoS values under each criterion in a service domain.The methodology for service domain knowledge updating, service-provider-based SDE metadata publishing, maintenance, and classification is initiated to allow: 1) knowledge users to update service domain ontologies employed in the service retrieval methodology, taking into account the dynamic nature of services in Digital Ecosystems; and 2) service providers to update their service profiles and manually annotate their published service advertisements by means of service domain knowledge, taking into account the dynamic nature of service providers in Digital Ecosystems. The methodology for service domain knowledge updating is realized by a voting system for any proposals for changes in service domain knowledge, and by assigning different weights to the votes of domain experts and normal users.In order to validate the customized semantic service retrieval methodology, we build a prototype – a Customized Semantic Service Search Engine. Based on the prototype, we test the mathematical algorithms involved in the methodology by a simulation approach and validate the proposed functions of the methodology by a functional testing approach.
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Udoyen, Nsikan. "Information Modeling for Intent-based Retrieval of Parametric Finite Element Analysis Models." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14084.

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Adaptive reuse of parametric finite element analysis (FEA) models is a common form of reuse that involves integrating new information into an archived FEA model to apply it towards a new similar physical problem. Adaptive reuse of archived FEA models is often motivated by the need to assess the impact of minor improvements to component-based designs such as addition of new structural components, or the need to assess new failure modes that arise when a device is redesigned for new operating environments or loading conditions. Successful adaptive reuse of FEA models involves reference to supporting documents that capture the formulation of the model to determine what new information can be integrated and how. However, FEA models and supporting documents are not stored in formats that are semantically rich enough to support automated inference of their relevance to a modelers needs. The modelers inability to precisely describe information needs and execute queries based on such requirements results in inefficient queries and time spent manually assessing irrelevant models. The central research question in this research is thus how do we incorporate a modelers intent into automated retrieval of FEA models for adaptive reuse? An automated retrieval method to support adaptive reuse of parametric FEA models has been developed in the research documented in this thesis. The method consists of a classification-based retrieval method based on ALE subsumption hierarchies that classify models using semantically rich description logic representations of physical problem structure and a reusability-based ranking method. Conceptual data models have been developed for the representations that support both retrieval and ranking of archived FEA models. The method is validated using representations of FEA models of several classes of electronic chip packages. Experimental results indicate that the properties of the representation methods support effective automation of retrieval functions for FEA models of component-based designs.
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Alazemi, Awatef M. "A new methodology for designing a multi-lingual bio-ontology : an application to Arabic-English bio-information retrieval." Thesis, University of Salford, 2010. http://usir.salford.ac.uk/26507/.

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Ontologies are becoming increasingly important in the biomedical domain since they enable knowledge sharing in a formal, homogeneous and unambiguous way. Furthermore, biological discoveries are being reported at an extremely rapid rate. This new information is found in diverse resources that encompass a broad array of journal articles and public databases associated with different sub-disciplines within biology and medicine in different languages. However, finding relevant multilingual biological dedicated ontology to the digestive system ontology among a large collection of information is recognized as a critical knowledge gap in science. Consequently, this research argues the real need to highlight the area of ontology in a sense of searching in bio-lingual, representing concepts and inter-concept relationships. English-Arabic human digestive system ontology (DISUS) and its methodology were created to demonstrate the above notion. The approach adopted for this research involved creating a new integrated reengineered methodology for a novel first attempt multilingual (English-Arabic) bio-ontology for the purpose of information retrieval and knowledge discovery. The targeted DISUS ontology is to represent digestive system knowledge and to ease knowledge sharing among the end users in the biology and medicine context .The integrated generic methodology is constitutes of four phases the planning phase which shed light on the scope and purpose of the domain and the functioning of knowledge acquisition, the conceptualisation phase organizes unstructured knowledge to structured. The ontology construction which involves the integration and merging among the core and sub-ontologies. The evaluation phase which finalizes the whole work and this is executed by domain experts. Evaluation of multilingual DISUS carried out through qualitative and quantitative approaches with biological and medical experts, validation was utilized through information retrieval technique and has revealed the effectiveness and robustness of using DISUS ontology as a way for concept mapping between Arabic-English ontologies terms for bilingual searches.
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Books on the topic "Information retrieval Methodology"

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1952-, Smiraglia Richard P., ed. Works as entities for information retrieval. Binghampton, N.Y: Haworth Information Press, 2002.

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M, Avouris Nicholas, and Page Bernd, eds. Environmental informatics: Methodology and applications of environmental information processing. Dordrecht: Kluwer Academic, 1995.

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Avouris, Nicholas M. Environmental Informatics: Methodology and Applications of Environmental Information Processing. Dordrecht: Springer Netherlands, 1995.

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A, Blade Richard, ed. How to build skills for research. Colorado Springs: IPI Press, 1998.

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Information management. Chicago, Ill: Ferguson Pub., 1998.

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Fulton, Crystal. Information pathways: A problem-solving approach to information literacy. Lanham: Scarecrow Press, 2010.

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Rungsawang, Arnon. Recherche documentaire à base de sémantique distributionnelle. Paris: École nationale supérieure des télécommunications, 1998.

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SIG USE Research Symposium on Effective Methods for Studying Information Seeking and Use (2001 Washington, D.C.). 2001 SIG USE Research Symposium on Effective Methods for Studying Information Seeking and Use. [Washington, DC: ASIST, 2001.

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Research strategies for a digital age. 3rd ed. Boston, MA: Wadsworth, 2010.

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Fulton, Crystal. Information pathways: A problem-solving approach to information literacy. Lanham: Scarecrow Press, 2010.

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Book chapters on the topic "Information retrieval Methodology"

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Li, Zhuo, Sandra Carberry, Hui Fang, Kathleen F. McCoy, and Kelly Peterson. "Infographics Retrieval: A New Methodology." In Natural Language Processing and Information Systems, 101–13. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07983-7_15.

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Braschler, Martin, and Carol Peters. "CLEF 2002 Methodology and Metrics." In Advances in Cross-Language Information Retrieval, 512–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45237-9_44.

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Arezki, Rachid, Pascal Poncelet, Gérard Dray, and David William Pearson. "Information Retrieval Model Based on User Profile." In Artificial Intelligence: Methodology, Systems, and Applications, 490–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30106-6_50.

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Mynn, Alysa Lee. "Cross-Lingual Information Retrieval Random Shuffling Methodology." In IRC-SET 2021, 83–89. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9869-9_6.

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Radecki, Tadeusz. "Document Ranking Methodology for Conventional Boolean Retrieval Systems." In Empirical Foundations of Information and Software Science, 265–72. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2521-5_22.

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Saias, José, and Paulo Quaresma. "A Methodology to Create Ontology-Based Information Retrieval Systems." In Progress in Artificial Intelligence, 424–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24580-3_49.

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Shtekh, Gennady, Polina Kazakova, and Nikita Nikitinsky. "Adjusting Machine Translation Datasets for Document-Level Cross-Language Information Retrieval: Methodology." In Text, Speech, and Dialogue, 84–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00794-2_9.

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Saias, José, and Paulo Quaresma. "A Methodology to Create Legal Ontologies in a Logic Programming Information Retrieval System." In Law and the Semantic Web, 185–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32253-5_12.

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Barcellos, Raissa, Flavia Bernardini, and Jose Viterbo. "A Methodology for Retrieving Datasets from Open Government Data Portals Using Information Retrieval and Question and Answering Techniques." In Lecture Notes in Computer Science, 239–49. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57599-1_18.

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Kim, Lise, Esma Yahia, Frédéric Segonds, Philippe Veron, and Victor Fau. "Essential Issues to Consider for a Manufacturing Data Query System Based on Graph." In Lecture Notes in Mechanical Engineering, 347–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_55.

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AbstractManufacturing industry data are distributed, heterogeneous and numerous, resulting in different challenges including the fast, exhaustive and relevant querying of data. In order to provide an innovative answer to this challenge, the authors consider an information retrieval system based on a graph database. In this paper, the authors focus on determining the essential functions to consider in this context. The authors define a three-step methodology using root causes analysis and resolution. This methodology is then applied to a data set and queries representative of an industrial use case. As a result, the authors list four major issues to consider and discuss their potential resolutions.
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Conference papers on the topic "Information retrieval Methodology"

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Kunieda, Takayuki, and Yuki Wakita. "Retrieval and indexing methodology for multimedia content descriptions." In Information Technologies 2000, edited by John R. Smith, Chinh Le, Sethuraman Panchanathan, and C. C. Jay Kuo. SPIE, 2000. http://dx.doi.org/10.1117/12.403823.

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Ferreira, João, Alberto Silva, and José Delgado. "A methodology to design information retrieval systems (MDIRS)." In the 2007 Euro American conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1352694.1352759.

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Eayrs, Martin. "A Principled Methodology for Information Retrieval on the Web." In InSITE 2006: Informing Science + IT Education Conference. Informing Science Institute, 2006. http://dx.doi.org/10.28945/2972.

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The World Wide Web provides a wealth of information - indeed, perhaps more than can comfortably be processed. But how does all that Web content get there? And how can users assess the accuracy and authenticity of what they find? This paper will look at some of the problems of using the Internet as a resource and suggest criteria both for researching and for systematic and critical evaluation of what users find there.
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Zhang, Hao, Seokho Chi, Jay Yang, and Ting-Kwei Wang. "Efficient Safety Information Retrieval on Construction Sites: A Preliminary Methodology." In International Conference on Sustainable Design, Engineering, and Construction 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412688.081.

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Portase, Raluca, Ramona Tolas, and Rodica Potolea. "MEDIS: Analysis Methodology for Data with Multiple Complexities." In 13th International Conference on Knowledge Discovery and Information Retrieval. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010655100003064.

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Morris, Elissa, and Daniel A. McAdams. "Bioinspired Origami: Case Studies Using a Keyword Search Algorithm." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22228.

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Abstract Numerous folding patterns, structures, and behaviors exist in nature that may provide design solutions to engineering problems. While applying biological solutions to engineering design is evidently valuable, the retrieval of useful design inspiration remains a primary challenge preventing the transfer of knowledge from biology to the engineering domain. In prior research, information retrieval techniques are employed to retrieve useful biological design solutions and a text-based search algorithm is developed to return passages where folding in nature is observed. The search algorithm, called FoldSearch, integrates tailored biological keywords and filtering methods to retrieve passages from an extensive biological corpus. The objective of this paper is two-fold — 1) to demonstrate the functionality of FoldSearch, and 2) to create abstract models of the retrieved biological systems from FoldSearch which can be used for the development of novel origami crease patterns and foldable structures. In this paper, the utility of FoldSearch is demonstrated through two case studies where the retrieved biological examples undergo a design abstraction process that leads to the development of bioinspired origami crease patterns and novel foldable structures. The abstraction process is presented as a systematic design methodology for bioinspired origami for the growing research field of origami engineering.
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Ferreira, Tânia, Isabel Pedrosa, and Jorge Bernardino. "Evaluating Open Source Business Intelligence Tools using OSSpal Methodology." In 9th International Conference on Knowledge Discovery and Information Retrieval. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006516402830288.

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Huang, Yonghong, and Li Gan. "A methodology for the refinement of information retrieval systems (Withdrawal Notice)." In International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009). SPIE, 2009. http://dx.doi.org/10.1117/12.836822.

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Dutt, Vishal, Satya Murthy Sasubilli, and Anand Eswararao Yerrapati. "Dynamic Information Retrieval With Chatbots: A Review of Artificial Intelligence Methodology." In 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2020. http://dx.doi.org/10.1109/iceca49313.2020.9297533.

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Rizun, Nina, and Wojciech Waloszek. "Methodology for Text Classification using Manually Created Corpora-based Sentiment Dictionary." In 10th International Conference on Knowledge Discovery and Information Retrieval. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006932602120220.

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