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Dissertations / Theses on the topic 'Information Retrieval Model'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Paulsen, Jon Rune. "Optimal Information Retrieval Model for Molecular Biology Information." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8718.

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<p>Search engines for biological information are not a new technology. Since the 1960s computers have emerged as an important tool for biologists. Online Mendelian Inheritance in Man (OMIM) is a comprehensive catalogue containing approximately 14 000 records with information about human genes and genetic disorders. An approach called Latent Semantic Indexing (LSI) was introduced in 1990 that is based on Singular Value Decomposition (SVD). This approach improved the information retrieval and reduced the storage requirements. This thesis applies LSI on the collection of OMIM records. To further

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2

Tanase, Diana. "A model for information retrieval driven by conceptual spaces." Thesis, University of Westminster, 2015. https://westminsterresearch.westminster.ac.uk/item/972v9/a-model-for-information-retrieval-driven-by-conceptual-spaces.

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A retrieval model describes the transformation of a query into a set of documents. The question is: what drives this transformation? For semantic information retrieval type of models this transformation is driven by the content and structure of the semantic models. In this case, Knowledge Organization Systems (KOSs) are the semantic models that encode the meaning employed for monolingual and cross-language retrieval. The focus of this research is the relationship between these meanings’ representations and their role and potential in augmenting existing retrieval models effectiveness. The prop

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3

Gómez, Luis Alfonso. "A two-level model for information retrieval systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq24469.pdf.

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4

Adriani, Mirna. "A query ambiguity model for cross-language information retrieval." Thesis, University of Glasgow, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407678.

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5

Tan, Kok Fong. "Extending information retrieval system model to improve interactive web searching." Thesis, Middlesex University, 2005. http://eprints.mdx.ac.uk/8027/.

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The research set out with the broad objective of developing new tools to support Web information searching. A survey showed that a substantial number of interactive search tools were being developed but little work on how these new developments fitted into the general aim of helping people find information. Due to this it proved difficult to compare and analyse how tools help and affect users and where they belong in a general scheme of information search tools. A key reason for a lack of better information searching tools was identified in the ill-suited nature of existing information retriev

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6

Muoh, Chibuike. "Sparsification for Topic Modeling and Applications to Information Retrieval." Kent State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=kent1259206719.

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7

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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8

Krishnan, Sharenya. "Text-Based Information Retrieval Using Relevance Feedback." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53603.

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Europeana, a freely accessible digital library with an idea to make Europe's cultural and scientific heritage available to the public was founded by the European Commission in 2008. The goal was to deliver a semantically enriched digital content with multilingual access to it. Even though they managed to increase the content of data they slowly faced the problem of retrieving information in an unstructured form. So to complement the Europeana portal services, ASSETS (Advanced Search Service and Enhanced Technological Solutions) was introduced with services that sought to improve the usability

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9

Huang, Huan. "Development of a conceptual graph based information retrieval model for medical question databases /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1421143.

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10

Lin, Xing. "Modern GIR Systems : Framework, Retrieval Model and Indexing Techniques." Licentiate thesis, KTH, Geoinformatik och Geodesi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-34787.

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Geographic information is one of the most important and the most common types of information in human society. It is estimated that more than 70% of all information in the world has some kind of geographic features. In the era of information explosion, information retrieval (IR) tools, such as search engines, are the main tools people used to quickly find the information they need nowadays. Because of the importance of geographic information, recent efforts have been made either by expanding the traditional IR to support a spatial query, or building a GIR in a brand new architecture from the g

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11

Ellis, David. "The derivation of a behavioural model for information retrieval system design." Thesis, University of Sheffield, 1987. http://etheses.whiterose.ac.uk/2975/.

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This study outlines the derivation of a behavioural model intended to underpin thinking on questions concerning the design of information retrieval systems for academic social scientists. The historical background of information retrieval research is reviewed and the behavioural assumptions made in that research, characterised as the information retrieval model, are examined. Developments in the research tradition following from the early empirical tests on information retrieval systems are discussed, and problems experienced in the attempt to develop a coherent and practically useful research

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12

Thornley, Clare Victoria. "A dialectical model of information retrieval : exploring a contradiction in terms." Thesis, University of Strathclyde, 2005. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=9340.

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13

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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14

Lenz, Mario. "Case Retrieval Nets as a Model for Building Flexible Information Systems." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 1999. http://dx.doi.org/10.18452/14356.

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Im Rahmen dieser Arbeit wird das Modell der Case Retrieval Netze vorgestellt, das ein Speichermodell für die Phase des Retrievals beim fallbasierten Schliessen darstellt. Dieses Modell lehnt sich an Assoziativspeicher an, insbesondere wird das Retrieval als Rekonstruktion des Falles betrachtet anstatt als eine Suche im traditionellen Sinne. Zwei der wesentlichen Vorteile des Modells sind Effizienz und Flexibilität: Effizienz beschreibt dabei die Fähigkeit, mit grossen Fallbasen umzugehen und dennoch schnell ein Resultat des Retrievals liefern zu können. Im Rahmen dieser Arbeit wird diese

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15

Price, Susan Loucette. "Semantic Components: A Model for Enhancing Retrieval of Domain- Specific Information." PDXScholar, 2008. https://pdxscholar.library.pdx.edu/open_access_etds/2673.

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Despite the success of general Internet search engines, information retrieval remains an incompletely solved problem. Our research focuses on supporting domain experts when they search domain-specific libraries to satisfy targeted information needs. The semantic components model introduces a schema specific to a particular document collection. A semantic component schema consists of a two-level hierarchy, document classes and semantic components. A document class represents a document grouping, such as topic type or document purpose. A semantic component is a characteristic type of information

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16

Yoon, Changwoo. "Domain-specific knowledge-based informational retrieval model using knowledge reduction." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011560.

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17

Greisdorf, Howard F. "Relevance Thresholds: A Conjunctive/Disjunctive Model of End-User Cognition as an Evaluative Process." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2717/.

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This investigation identifies end-user cognitive heuristics that facilitate judgment and evaluation during information retrieval (IR) system interactions. The study extends previous research surrounding relevance as a key construct for representing the value end-users ascribe to items retrieved from IR systems and the perceived effectiveness of such systems. The Lens Model of user cognition serves as the foundation for design and interpretation of the study; earlier research in problem solving, decision making, and attitude formation also contribute to the model and analysis. A self reporting

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18

Bhogal, Jagdev. "Investigating ontology based query expansion using a probabilistic retrieval model." Thesis, City University London, 2011. http://openaccess.city.ac.uk/2946/.

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This research briefly outlines the problems of traditional information retrieval systems and discusses the different approaches to inferring context in document retrieval. By context we mean word disambiguation which is achieved by exploring the generalisation-specialisation hierarchies within a given ontology. Specifically, we examine the use of ontology based query expansion for defining query context. Query expansion can be done in many ways and in this work we consider the use of relevance feedback and pseudo-relevance feedback for query expansion. We examine relevance feedback and pseudo-

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Thakur, Amritanshu. "Semantic construction with provenance for model configurations in scientific workflows." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-07312008-092758.

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20

Berisha, F. "Photorealistic retrieval of occluded facial information using a performance-driven face model." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/14673/.

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Facial occlusions can cause both human observers and computer algorithms to fail in a variety of important tasks such as facial action analysis and expression classification. This is because the missing information is not reconstructed accurately enough for the purpose of the task in hand. Most current computer methods that are used to tackle this problem implement complex three-dimensional polygonal face models that are generally timeconsuming to produce and unsuitable for photorealistic reconstruction of missing facial features and behaviour. In this thesis, an image-based approach is adopte

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21

Simon, Scott J. "A multi-dimensional entropy model of jazz improvisation for music information retrieval." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4929/.

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Jazz improvisation provides a case context for examining information in music; entropy provides a means for representing music for retrieval. Entropy measures are shown to distinguish between different improvisations on the same theme, thus demonstrating their potential for representing jazz information for analysis and retrieval. The calculated entropy measures are calibrated against human representation by means of a case study of an advanced jazz improvisation course, in which synonyms for "entropy" are frequently used by the instructor. The data sets are examined for insights in music info

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22

Chang, Jia Kang. "Investigation on applying modular ontology to statistical language model for information retrieval." Thesis, University of Central Lancashire, 2015. http://clok.uclan.ac.uk/11803/.

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The objective of this research is to provide a novel approach to improving retrieval performance by exploiting Ontology with the statistical language model (SLM). The proposed methods consist of two major processes, namely ontology-based query expansion (OQE) and ontology-based document classification (ODC). Research experiments have required development of an independent search tool that can combine the OQE and ODC in a traditional SLM-based information retrieval (IR) process using a Web document collection. This research considers the ongoing challenges of modular ontology enhanced SLM-based

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23

Vattam, Swaroop. "Interactive analogical retrieval: practice, theory and technology." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45798.

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Analogy is ubiquitous in human cognition. One of the important questions related to understanding the situated nature of analogy-making is how people retrieve source analogues via their interactions with external environments. This dissertation studies interactive analogical retrieval in the context of biologically inspired design (BID). BID involves creative use of analogies to biological systems to develop solutions for complex design problems (e.g., designing a device for acquiring water in desert environments based on the analogous fog-harvesting abilities of the Namibian Beetle). Finding

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24

Zarrinkoub, Sahand. "Transfer Learning in Deep Structured Semantic Models for Information Retrieval." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286310.

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Recent approaches to IR include neural networks that generate query and document vector representations. The representations are used as the basis for document retrieval and are able to encode semantic features if trained on large datasets, an ability that sets them apart from classical IR approaches such as TF-IDF. However, the datasets necessary to train these networks are not available to the owners of most search services used today, since they are not used by enough users. Thus, methods for enabling the use of neural IR models in data-poor environments are of interest. In this work, a bag

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25

Albujasim, Zainab Majeed. "Search Queries in an Information Retrieval System for Arabic-Language Texts." UKnowledge, 2014. http://uknowledge.uky.edu/cs_etds/23.

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Information retrieval aims to extract from a large collection of data a subset of information that is relevant to user’s needs. In this study, we are interested in information retrieval in Arabic-Language text documents. We focus on the Arabic language, its morphological features that potentially impact the implementation and performance of an information retrieval system and its unique characters that are absent in the Latin alphabet and require specialized approaches. Specifically, we report on the design, implementation and evaluation of the search functionality using the Vector Space Model

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Yang, Li. "Building an Intelligent Filtering System Using Idea Indexing." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4275/.

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The widely used vector model maintains its popularity because of its simplicity, fast speed, and the appeal of using spatial proximity for semantic proximity. However, this model faces a disadvantage that is associated with the vagueness from keywords overlapping. Efforts have been made to improve the vector model. The research on improving document representation has been focused on four areas, namely, statistical co-occurrence of related items, forming term phrases, grouping of related words, and representing the content of documents. In this thesis, we propose the idea-indexing model to imp

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27

Chen, Hsinchun, and Vasant Dhar. "Online Query Refinement on Information Retrieval Systems: A Process Model of Searched System Interactions." ACM, 1990. http://hdl.handle.net/10150/105597.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>This article reports findings of empirical research that investigated information searchers online query refinement process. Prior studies have recognized the information specialists' role in helping searchers articulate and refine queries. Using a semantic network and a Problem Behavior Graph to represent the online search our study revealed that searchers also refined their own queries in an online task environment. The information retrieval system played a passive role in assisting online query refinement, which was

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Köster, Norman [Verfasser]. "An Extensible Graph Query Language for Model-Based Information Retrieval in Intelligent Environments / Norman Köster." Bielefeld : Universitätsbibliothek Bielefeld, 2020. http://d-nb.info/1221718975/34.

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29

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 suppor

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Shamo, Esmaeel. "University Students and the Internet: Information Seeking Study." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc2745/.

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This study explored university students' information needs and seeking behaviors on the Internet. A Web-based survey was administrated one time. Two hundred responses were received from the target sample within the two weeks period of the study. Data were analyzed with descriptive statistics, factor analysis, and graphical representation. The study explored various issues related to the usability, preferences, and activities of the Internet, such as searching tools, e-mail, search engines, and preferred primary sources of everyday-life information needs. The study explored the perceptions

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31

Bernardo, Tomás. "A model for information architecture of government web sites in Southern Africa." Thesis, Nelson Mandela Metropolitan University, 2006. http://hdl.handle.net/10948/459.

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The main purpose of this research is to investigate the Information Architecture (IA) of government web sites in Southern Africa. The government web sites of Mozambique and South Africa were selected for the purpose of this research. A further aim of this research was to derive a model for the IA of government web sites. The model was based on IA components and guidelines as well as on web site components and E-government requirements. The IA guidelines in the model were derived from general design guidelines and guidelines for government web sites. The IA guidelines in the proposed model were

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Lopes, Roseane Regina Velho. "A model and prototype for a community-related information retrieval system for public libraries in Brazil." Thesis, City University London, 1995. http://openaccess.city.ac.uk/7546/.

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This research was aimed towards the planning, design and evaluation of an experimental prototype for the systematic organisation, access and retrieval of community information and local studies, henceforth defined jointly as community-related information, for public libraries in Brazil. Community-related information services were identified as areas of modern public librarianship still to be developed in that country. To raise relevant theoretical issues that could be discussed in practice, applied prototyping was chosen as the core methodology for this project. The model proposed was built up

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McLeod, Andrew Philip. "Language of music : a computational model of music interpretation." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31371.

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Automatic music transcription (AMT) is commonly defined as the process of converting an acoustic musical signal into some form of musical notation, and can be split into two separate phases: (1) multi-pitch detection, the conversion of an audio signal into a time-frequency representation similar to a MIDI file; and (2) converting from this time-frequency representation into a musical score. A substantial amount of AMT research in recent years has concentrated on multi-pitch detection, and yet, in the case of the transcription of polyphonic music, there has been little progress. There are many

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34

Higa, Kunihiko. "End user logical database design: The structured entity model approach." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184539.

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We live in the Information Age. The effective use of information to manage organizational resources is the key to an organization's competitive power. Thus, a database plays a major role in the Information Age. A well designed database contains relevant, nonredundant, and consistent data. However, a well designed database is rarely achieved in practice. One major reason for this problem is the lack of effective support for logical database design. Since the late 1980s, various methodologies for database design have been introduced, based on the relational model, the functional model, the seman

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35

Johnston, Onaje Omotola. "Usability of a Keyphrase Browsing Tool Based on a Semantic Cloud Model." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5320/.

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The goal of this research was to facilitate the scrutiny and utilization of Web search engine retrieval results. I used a graphical keyphrase browsing interface to visualize the conceptual information space of the results, presenting document characteristics that make document relevance determinations easier.

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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<br>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 s

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AHRAM, TAREQ. "INFORMATION RETRIEVAL PERFORMANCE ENHANCEMENT USING THE AVERAGE STANDARD ESTIMATOR AND THE MULTI-CRITERIA DECISION WEIGHTED SET." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3280.

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Information retrieval is much more challenging than traditional small document collection retrieval. The main difference is the importance of correlations between related concepts in complex data structures. These structures have been studied by several information retrieval systems. This research began by performing a comprehensive review and comparison of several techniques of matrix dimensionality estimation and their respective effects on enhancing retrieval performance using singular value decomposition and latent semantic analysis. Two novel techniques have been introduced in this resear

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Rorissa, Abebe. "Perceived features and similarity of images: An investigation into their relationships and a test of Tversky's contrast model." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc4749/.

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The creation, storage, manipulation, and transmission of images have become less costly and more efficient. Consequently, the numbers of images and their users are growing rapidly. This poses challenges to those who organize and provide access to them. One of these challenges is similarity matching. Most current content-based image retrieval (CBIR) systems which can extract only low-level visual features such as color, shape, and texture, use similarity measures based on geometric models of similarity. However, most human similarity judgment data violate the metric axioms of these models. Tver

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Charbel, Nathalie. "Semantic Representation of a Heterogeneous Document Corpus for an Innovative Information Retrieval Model : Application to the Construction Industry." Thesis, Pau, 2018. http://www.theses.fr/2018PAUU3025/document.

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Les avancées récentes des Technologies de l'Information et de la Communication (TIC) ont entraîné des transformations radicales de plusieurs secteurs de l'industrie. L'adoption des technologies du Web Sémantique a démontré plusieurs avantages, surtout dans une application de Recherche d'Information (RI) : une meilleure représentation des données et des capacités de raisonnement sur celles-ci. Cependant, il existe encore peu d’applications industrielles car il reste encore des problèmes non résolus, tels que la représentation de documents hétérogènes interdépendants à travers des modèles de don

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Bierig, Ralf. "Event and map content personalisation in a mobile and context-aware environment." Thesis, Robert Gordon University, 2008. http://hdl.handle.net/10059/484.

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Effective methods for information access are of the greatest importance for our modern lives – particularly with respect to handheld devices. Personalisation is one such method which models a user’s characteristics to deliver content more focused to the user’s needs. The emerging area of sophisticated mobile computing devices has started to inspire new forms of personalised systems that include aspects of the person’s contextual environment. This thesis seeks to understand the role of personalisation and context, to evaluate the effectiveness of context for content personalisation and to inves

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Alhamid, Mohammed F. "Towards Context-Aware Personalized Recommendations in an Ambient Intelligence Environment." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32052.

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Due to the rapid increase of social network resources and services, Internet users are now overwhelmed by the vast quantity of social media available. By utilizing the user’s context while consuming diverse multimedia contents, we can identify different personal preferences and settings. However, there is still a need to reinforce the recommendation process in a systematic way, with context-adaptive information. This thesis proposes a recommendation model, called HPEM, that establishes a bridge between the multimedia resources, user collaborative preferences, and the detected contextual inform

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Bjöörn, Anton. "Employing a Transformer Language Model for Information Retrieval and Document Classification : Using OpenAI's generative pre-trained transformer, GPT-2." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281766.

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As the information flow on the Internet keeps growing it becomes increasingly easy to miss important news which does not have a mass appeal. Combating this problem calls for increasingly sophisticated information retrieval methods. Pre-trained transformer based language models have shown great generalization performance on many natural language processing tasks. This work investigates how well such a language model, Open AI’s General Pre-trained Transformer 2 model (GPT-2), generalizes to information retrieval and classification of online news articles, written in English, with the purpose of

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Scheckler, Rebecca Klein. "Predicting drug interactions with a three level causal model." Thesis, Virginia Tech, 1990. http://hdl.handle.net/10919/42156.

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A medical expert system for predicting qualitative pharmacodynamic interactions of the cardiovascular system is described. TLCM traces causal paths of drug action through up to three levels of drug action. The three levels which are molecular/receptor level, physiological level and clinical level provide both deep and shallow reasoning in order to overcome the problem of unknowns in medical expert systems. Sparsity of information in pharmacology results from necessity of using non-invasive techniques for monitoring drug effects in the human subject and difficulty in isolating effect from feedb

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Kubilay, Mustafa. "Special Index And Retrieval Mechanism For Ontology Based Medical Domain Search Engines." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606470/index.pdf.

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This thesis focuses on index and retrieval mechanism of an ontology based medical domain search engine. First, indexing techniques and retrieval methods are reviewed. Then, a special indexing and retrieval mechanism are introduced. This thesis also specifies the functional requirements of these mechanisms. Finally, an evaluation is given by indicating the positive and negative aspects of mechanisms.

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Zhang, Xiaoyu. "Effective Search in Online Knowledge Communities: A Genetic Algorithm Approach." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35059.

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Online Knowledge Communities, also known as online forum, are popular web-based tools that allow members to seek and share knowledge. Documents to answer varieties of questions are associated with the process of knowledge exchange. The social network of members in an Online Knowledge Community is an important factor to improve search precision. However, prior ranking functions donâ t handle this kind of document with using this information. In this study, we try to resolve the problem of finding authoritative documents for a user query within an Online Knowledge Community. Unlike prior rankin

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Figueiras, Paulo Alves. "A framework for supporting knowledge representation – an ontological based approach." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/7576.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores<br>The World Wide Web has had a tremendous impact on society and business in just a few years by making information instantly available. During this transition from physical to electronic means for information transport, the content and encoding of information has remained natural language and is only identified by its URL. Today, this is perhaps the most significant obstacle to streamlining business processes via the web. In order that processes may execute without human intervention, knowledge sources

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Carlisle, Judith Pinn. "Using categorical grammars and a non-model-theoretic semantics to build automated representations of concepts: A non-keyterm approach to information retrieval." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187347.

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This research develops an information retrieval system (IRS) using a semantic document representation derived using a combination of categorial grammars and conceptual semantics. Of particular interest to this research are documents in the document collection which a user would include in the set of retrieved documents, if the set was selected manually, yet are excluded by automated methods of IR. This research vigorously embraces the belief that language is a comprehensive system which encodes and transmits information. Therefore, traditional keyterm approaches used as a automatic document re

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Kabaso, Boniface. "Health information systems interoperability in Africa: service oriented architectural model for interoperability in African context." Thesis, Cape Peninsula University of Technology, 2014. http://hdl.handle.net/20.500.11838/1413.

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Africa has been seeing a steady increase in the Information and Communication Technology (ICT) systems deployed in health care institutions. This is evidenced by the funding that has been going into health information systems from both the government and the donor organisations. Large numbers of national and international agencies, research organisations, Non- Governmental Organisations(NGOs) etc continue to carry out studies and develop systems and procedures to exploit the power of Information and Communication Technology (ICT) in public and private health institutions. This uncoordinated ma

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Marzo, i. Grimalt Núria. "Natural Language Processing Model for Log Analysis to Retrieve Solutions For Troubleshooting Processes." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300042.

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In the telecommunications industry, one of the most time-consuming tasks is troubleshooting and the resolution of Trouble Report (TR) tickets. This task involves the understanding of textual data which can be challenging due to its domain- and company-specific features. The text contains many abbreviations, typos, tables as well as numerical information. This work tries to solve the issue of retrieving solutions for new troubleshooting reports in an automated way by using a Natural Language Processing (NLP) model, in particular Bidirectional Encoder Representations from Transformers (BERT)- ba

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Kyazze, Michael. "A hybrid model for managing personal health records in South Africa." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/3145.

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Doctors can experience difficulty in accessing medical information of new patients. One reason for this is that the management of medical records is mostly institution-centred. The lack of access to medical information may negatively affect patients in several ways. These include new medical tests that may need to be carried out at a cost to the patient and doctors prescribing drugs to which the patient is allergic. This research investigates how patients can play an active role in sharing their personal health records (PHRs) with doctors located in geographically separate areas. In order to a

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