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Dissertations / Theses on the topic 'Retrieval etc'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Lamb, Christopher A. "The call to retrieval : Kenneth Cragg's Christian vocation to Islam." Thesis, University of Birmingham, 1987. http://etheses.bham.ac.uk//id/eprint/5623/.

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The career of the Anglican scholar and bishop, Kenneth Cragg, focusses attention on the Christian understanding of other faiths in general and of Islam in particular. Cragg has been a leading exponent of a particular missionary approach to Islam, emphasizing that there is a 'mission to Islam' as much as a mission to Muslims. To this end he interprets Islam as pointing in its deepest meaning towards Christianity, a course which has aroused both admiration and opposition among Christians and Muslims alike. I attempt to show that his theology is strongly influenced by distinctive Anglican traditi

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2

Khurshid, Khurram. "Analysis and retrieval of historical documents images." Paris 5, 2009. http://www.theses.fr/2009PA05S014.

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Le Word Spotting est une alternative relativement nouvelle pour la recherche d'information dans les images de documents anciens. Le Word Spotting consiste à formuler un requête sous forme d'une image de mot pour rechercher toutes les images de documents ou les passages contenant des mots similaires à la requête donnée. Des recherches ont déjà été menées dans ce domaine et différentes méthodes ont été proposées pour un Word Spotting efficace, mais il y a toujours une certaine marge d'erreur et la possibilité d'amélioration. En outre, le Word Spotting requiert le choix d'une image comme mot de r

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3

Crum, Joseph A. "Simulating a storage and retrieval system interfaced with an automated guided vehicle system." Ohio : Ohio University, 1987. http://www.ohiolink.edu/etd/view.cgi?ohiou1183042437.

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4

Augereau, Olivier. "Reconnaissance et classification d’images de documents." Thesis, Bordeaux 1, 2013. http://www.theses.fr/2013BOR14764/document.

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Ces travaux de recherche ont pour ambition de contribuer à la problématique de la classification d’images de documents. Plus précisément, ces travaux tendent à répondre aux problèmes rencontrés par des sociétés de numérisation dont l’objectif est de mettre à disposition de leurs clients une version numérique des documents papiers accompagnés d’informations qui leurs sont relatives. Face à la diversité des documents à numériser, l’extraction d’informations peut s’avérer parfois complexe. C’est pourquoi la classification et l’indexation des documents sont très souvent réalisées manuellement. Ces

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5

Mchunu, Nokubalela Ntombiyethu. "Adequacy of healthcare information systems to support data quality in the public healthcare sector, in the Western Cape, South Africa." Thesis, Cape Peninsula University of Technology, 2012. http://hdl.handle.net/20.500.11838/1387.

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Thesis submitted in fulfilment of the requirements for the degree Master of Technology (MTech) in Information Technology In the Faculty of Informatics and Design, at the Cape Peninsula University of Technology (CPUT), 2013<br>Healthcare services are vital to all human beings, as our daily lives depend on them. In South Africa approximately eighty per cent of the population uses the public healthcare services. In the current healthcare systems data corruption exists which threatens data quality in the systems. The aim of this study was to understand the existing information handling processes a

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6

Peterson, Daniel J. Mulligan Neil W. "Enactment and retrieval." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2191.

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Thesis (M.A.)--University of North Carolina at Chapel Hill, 2009.<br>Title from electronic title page (viewed Jun. 26, 2009). "... in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Psychology." Discipline: Psychology; Department/School: Psychology.

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7

Shao, Bo. "User-centric Music Information Retrieval." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/416.

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The rapid growth of the Internet and the advancements of the Web technologies have made it possible for users to have access to large amounts of on-line music data, including music acoustic signals, lyrics, style/mood labels, and user-assigned tags. The progress has made music listening more fun, but has raised an issue of how to organize this data, and more generally, how computer programs can assist users in their music experience. An important subject in computer-aided music listening is music retrieval, i.e., the issue of efficiently helping users in locating the music they are looking for

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8

Rehder, John J. "Semantic software scouts for information retrieval." W&M ScholarWorks, 2000. https://scholarworks.wm.edu/etd/1539623977.

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A new concept for information storage and retrieval is proposed that links chunks of information within and among documents based on semantic relationships and uses those connections to efficiently retrieve all the information that closely matches the user's request. The storage method is semantic hypertext, in which conventional hypertext links are enriched with semantic information that includes the strength and type of the relationship between the chunks of information being linked. A retrieval method was devised in which a set of cooperating software agents, called scouts, traverse the con

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9

Muthukrishnan, Arvind Kumar. "Information Retrieval Using Concept Lattices." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1141055777.

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10

Yim, Sungshik. "A retrieval method (DF FRAMEWORK) for automated retrieval of design for additive manufacturing problems." Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-03012007-113030/.

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Thesis (Ph. D.)--Mechanical Engineering, Georgia Institute of Technology, 2007.<br>Nelson Baker, Committee Member ; Charles Eastman, Committee Member ; Christiaan Paredis, Committee Member ; Janet Allen, Committee Member ; David Rosen, Committee Chair.

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11

Powell, Allison L. "Database selection in distributed information retrieval a study of multi-collection information retrieval /." Full text, Acrobat Reader required, 2001. http://viva.lib.virginia.edu/etd/diss/SEAS/ComputerScience/2001/Powell/etd.pdf.

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12

Cosijn, Erica. "Relevance judgements in information retrieval." Thesis, Pretoria [s.n.], 2003. http://upetd.up.ac.za/thesis/available/etd-09192005-145624/.

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13

Komaragiri, Vivek Chakravarthy. "Application of decision diagrams for information storage and retrieval." Master's thesis, Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-04082002-144345.

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14

Langley, Joseph R. "SCRIBE a clustering approach to semantic information retrieval /." Master's thesis, Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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15

Richards, Stephen L. "A Field-Wise Retrieval Algorithm for SeaWinds." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/74.

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In the spring of 1999 NASA will launch the scatterometer SeaWinds, beginning a 3 year mission to measure the ocean winds. SeaWinds is different from previous spaceborne scatterometers in that it employs a rotating pencil-beam antenna as opposed to fixed fan-beam antennas. The scanning beam provides greater coverage but causes the wind retrieval accuracy to vary across the swath. This thesis develops a filed-wise wind retrieval algorithm to improve the overall wind retrieval accuracy for use with SeaWinds data. In order to test the field-wise wind retrieval algorithm, methods for simulating win

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16

Whissel, Jhon F. "Information Retrieval Using Lucene and WordNet." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1253659613.

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17

Glanc, Gina Ann. "Retrieval Induced Forgetting in Recognition Memory." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1207178975.

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18

Ozendi, Mustafa. "Viewpoint Independent Image Classification and Retrieval." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285011830.

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19

YARDI, APARNA ARVIND. "CONCEPT BASED INFORMATION ORGANIZATION AND RETRIEVAL." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1152832274.

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20

Langley, Joseph Russell. "SCRIBE: A Clustering Approach to Semantic Information Retrieval." MSSTATE, 2006. http://sun.library.msstate.edu/ETD-db/theses/available/etd-05222006-105714/.

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Information retrieval is the process of fulfilling a user?s need for information by locating items in a data collection that are similar to a complex query that is often posed in natural language. Latent Semantic Indexing (LSI) was the predominant technique employed at the National Institute of Standards and Technology?s Text Retrieval Conference for many years until limitations of its scalability to large data sets were discovered. This thesis describes SCRIBE, a modification of LSI with improved scalability. SCRIBE clusters its semantic index into discrete volumes described by high-dimension

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21

Beryoza, Dmitriy. "Dynamic data retrieval on the world wide web." FIU Digital Commons, 2000. http://digitalcommons.fiu.edu/etd/1654.

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Methods for accessing data on the Web have been the focus of active research over the past few years. In this thesis we propose a method for representing Web sites as data sources. We designed a Data Extractor data retrieval solution that allows us to define queries to Web sites and process resulting data sets. Data Extractor is being integrated into the MSemODB heterogeneous database management system. With its help database queries can be distributed over both local and Web data sources within MSemODB framework. Data Extractor treats Web sites as data sources, controlling query execution and

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22

McMurtry, William F. "Information Retrieval for Call Center Quality Assurance." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587036885211228.

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23

Boginski, Vladimir L. "Optimization and information retrieval techniques for complex networks." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011379.

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24

Immaneni, Trivikram. "A HYBRID APPROACH TO RETRIEVING WEB DOCUMENTS AND SEMANTIC WEB DATA." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1199923822.

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25

Goevert, Norbert. "Information Retrieval in vernetzten heterogenen Datenbanken." Gerhard-Mercator-Universitaet Duisburg, 2004. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-04232004-113208/.

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With the field capabilities of freeWAIS-sf it became difficult to query more than one database in parallel. The set of searchable fields can differ for different databases, they may have heterogeneous schemas. An important concept in database systems is data independence. Based on this concept a unifying view on multiple freeWAIS-sf databases is presented: the aspect of heterogeneity of different databases is hidden from the user. SFgate is a gateway between the World Wide Web and freeWAIS-sf which implements this approach.

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26

Ahram, Tareq Z. "Information retrieval performance enhancement using the average standard estimator and the multi-criteria decision weighted set of performance measures." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002426.

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27

Hullinger, Weston Jay. "Mitigation of Sea Ice Contamination in QuikSCAT Wind Retrieval." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3412.

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Satellite borne radar scatterometers provide frequent estimates of near surface wind vectors over the Earth's oceans. However in the polar oceans, the presence of sea ice in or near the measurement footprint can adversely a ect scatterometer measurements resulting in inaccurate wind estimates. Currently, such ice contamination is mitigated by discarding measurements within 50 km of detected sea ice. This approach is imperfect and causes loss of coverage. This thesis presents a new algorithm which detects ice-contaminated measurements based on a metric called the Ice Contribution Ratio (ICR) wh

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28

Pryor, Jennifer Maureen. "The Positivity Effect: Is it a Memory Retrieval Bias?" W&M ScholarWorks, 2011. https://scholarworks.wm.edu/etd/1539626674.

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29

Marchant, Christian C. "Retrieval of Aerosol Mass Concentration from Elastic Lidar Data." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/812.

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Agricultural aerosol sources can contribute significantly to air pollution in many regions of the country. Characterization of the aerosol emissions of agricultural operations is required to establish a scientific basis for crafting regulations concerning agricultural aerosols. A new lidar instrument for measuring aerosol emissions is described, as well as two new algorithms for converting lidar measurements into aerosol concentration data. The average daily aerosol emission rate is estimated from a dairy using lidar. The Aglite Lidar is a portable scanning lidar for mapping the concentration

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30

Aytar, Yusuf. "SEMANTIC VIDEO RETRIEVAL USING HIGH LEVEL CONTEXT." Master's thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3455.

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Video retrieval  searching and retrieving videos relevant to a user defined query  is one of the most popular topics in both real life applications and multimedia research. This thesis employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utilization of the semantic word similarity measures for video retrieval through the trained concept detectors, and the visual co-occurrence relations between such concepts. We propose two methods for content-based retrieval of videos: (1) A method for retrieving a new concept (a

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31

Teng, Jin. "Efficient Collection and Retrieval for Large Heterogeneous Dataset." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1370347298.

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32

YU, HONGMING. "A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911.

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33

Al-Shannaq, Moy'awiah Abdulla. "ALGORITHMS FOR ENHANCING INFORMATION RETRIEVAL USING SEMANTIC WEB." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1437935877.

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34

Wu, Mengjiao. "Retrieval-based Metacognitive Monitoring in Self-regulated Learning." Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1532049448140424.

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35

Richards, Stephen L. "A field-wise wind retrieval algorithm for seawinds /." Diss., CLICK HERE for online access, 1999. http://contentdm.lib.byu.edu/ETD/image/etd16.pdf.

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36

Luke, Jeremy Blaine. "High Resolution Wind Retrieval for SeaWinds on QuikSCAT." Diss., CLICK HERE for online access, 2003. http://contentdm.lib.byu.edu/ETD/image/etd220.pdf.

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37

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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38

Kim, Soonho. "Using a crop-pest ontology to facilitate image retrieval." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013105.

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39

Lozito, Jeffrey P. Mulligan Neil W. "Exploring the role of attention during implicit memory retrieval." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,784.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2007.<br>Title from electronic title page (viewed Dec. 18, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Psychology." Discipline: Psychology; Department/School: Psychology.

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40

Hariharan, Sriram. "Image retrieval by spatial similarity a Java - based prototye." Ohio : Ohio University, 1998. http://www.ohiolink.edu/etd/view.cgi?ohiou1176496040.

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41

Alfano, Keith M. "A human factors approach to file storage and retrieval." [Gainesville, Fla.] : University of Florida, 2007. http://purl.fcla.edu/fcla/etd/UFE0021242.

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42

Lawrence, Terry. "Control of an automated storage and retrieval system." Master's thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-01262010-020309/.

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43

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

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44

McManigal, Chris A. "Towards More Comprehensive Information Retrieval Systems: Entity Extraction Using XSLT." UNF Digital Commons, 2005. http://digitalcommons.unf.edu/etd/222.

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One problem that exists in today's document management arena is the issue of retrieving information from electronic documents such as images, Microsoft Office documents, and e-mail. Specific data entities must be extracted from these documents so that the data can be searched and queried. This study presents a unique approach to extracting these entities: using Extensible Stylesheet Language Transformations (XSLT) to match patterns in text. Because XSLT is processed at run time, new XSLT templates can be created and used without having to recompile and redeploy the application. The specific im

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45

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 dyna

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46

Southard, Spencer. "Designing 2D Interfaces For 3D Gesture Retrieval Utilizing Deep Learning." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/774.

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Gesture retrieval can be defined as the process of retrieving the correct meaning of the hand movement from a pre-assembled gesture dataset. The purpose of the research discussed here is to design and implement a gesture interface system that facilitates retrieval for an American Sign Language gesture set using a mobile device. The principal challenge discussed here will be the normalization of 2D gestures generated from the mobile device interface and the 3D gestures captured from video samples into a common data structure that can be utilized by deep learning networks. This thesis covers con

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47

Hariharan, Sriram. "Image retrieval by spatial similarity a java - based prototype." Ohio University / OhioLINK, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176496040.

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48

Kim, Hyunki. "Developing semantic digital libraries using data mining techniques." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010105.

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49

Modica, Giovanni. "A framework for automatic ontology generation from autonomous web applications." Master's thesis, Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-09032002-165210.

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50

Costello, Anthony. "Facilitating Information Retrieval in Social Media User Interfaces." Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6257.

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As the amount of computer mediated information (e.g., emails, documents, multi-media) we need to process grows, our need to rapidly sort, organize and store electronic information likewise increases. In order to store information effectively, we must find ways to sort through it and organize it in a manner that facilitates efficient retrieval. The instantaneous and emergent nature of communications across networks like Twitter makes them suitable for discussing events (e.g., natural disasters) that are amorphous and prone to rapid changes. It can be difficult for an individual human to filter

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