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Dissertations / Theses on the topic 'Content-based search and retrieval'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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1

Rautiainen, M. (Mika). "Content-based search and browsing in semantic multimedia retrieval." Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514283007.

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Abstract Growth in storage capacity has led to large digital video repositories and complicated the discovery of specific information without the laborious manual annotation of data. The research focuses on creating a retrieval system that is ultimately independent of manual work. To retrieve relevant content, the semantic gap between the searcher's information need and the content data has to be overcome using content-based technology. Semantic gap constitutes of two distinct elements: the ambiguity of the true information need and the equivocalness of digital video data. The research probl
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2

Cano, Vila Pedro. "Content-based audio search: from fingerprinting to semantic audio retrieval." Doctoral thesis, Universitat Pompeu Fabra, 2007. http://hdl.handle.net/10803/7543.

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Aquesta tesi tracta de cercadors d'audio basats en contingut. Específicament, tracta de desenvolupar tecnologies que permetin fer més estret l'interval semàntic o --semantic gap' que, a avui dia, limita l'ús massiu de motors de cerca basats en contingut. Els motors de cerca d'àudio fan servir metadades, en la gran majoria generada per editors, per a gestionar col.leccions d'àudio. Tot i ser una tasca àrdua i procliu a errors, l'anotació manual és la pràctica més habitual. Els mètodes basats en contingut àudio, és a dir, aquells algorismes que extreuen automàticament etiquetes descriptives de f
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3

Larsson, Jimmy. "Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574.

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With a multitude of images available on the Internet, how do we find what we are looking for? This project tries to determine how much the precision and recall of search queries is improved by using a word taxonomy on traditional Text-Based Image Search and Content-Based Image Search. By applying a word taxonomy to different data sources, a strong keyword filter and a keyword extender were implemented and tested. The results show that depending on the implementation, the precision or the recall can be increased. By using a similar approach on real life implementations, it is possible to force
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4

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

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The thesis presents a system for content based image retrieval and mining. The research presents a design of a scalable solution for efficient retrieval of images from large image databases using image features such as color, shape and texture. A framework for automatic labeling of images and clustering of meta data in database based on the dominant shapes, textures and colors in the image is proposed. The thesis also presents a new image tagging methodology to annotate the dominant image features to the image as meta data. The users of this system can input a query image and select similar
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Wang, Ben. "Efficient indexing structures for similarity search in content-based information retrieval." Thesis, University of Essex, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438150.

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6

PIRAS, LUCA. "Interactive search techniques for content-based retrieval from archives of images." Doctoral thesis, Università degli Studi di Cagliari, 2011. http://hdl.handle.net/11584/266315.

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Through a little investigation by file types it is possible to easily find that one of the most popular search engines has in its indexes about 10 billion of images. Even considering that this data is probably an underestimate of the real number, however, immediately it gives us an idea of how the images are a key component in human communication. This so exorbitant number puts us in the face of the enormous difficulties encountered when one has to deal with them. Until now, the images have always been accompanied by textual data: description, tags, labels, ... which are used to retrieve
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Kuan, Joseph. "Image texture analysis and fast similarity search for content based retrieval and navigation." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287321.

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8

Kidambi, Phani Nandan. "A HUMAN-COMPUTER INTEGRATED APPROACH TOWARDS CONTENT BASED IMAGE RETRIEVAL." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1292647701.

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9

Chafik, Sanaa. "Machine learning techniques for content-based information retrieval." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLL008/document.

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Avec l’évolution des technologies numériques et la prolifération d'internet, la quantité d’information numérique a considérablement évolué. La recherche par similarité (ou recherche des plus proches voisins) est une problématique que plusieurs communautés de recherche ont tenté de résoudre. Les systèmes de recherche par le contenu de l’information constituent l’une des solutions prometteuses à ce problème. Ces systèmes sont composés essentiellement de trois unités fondamentales, une unité de représentation des données pour l’extraction des primitives, une unité d’indexation multidimensionnelle
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Chafik, Sanaa. "Machine learning techniques for content-based information retrieval." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLL008.

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Avec l’évolution des technologies numériques et la prolifération d'internet, la quantité d’information numérique a considérablement évolué. La recherche par similarité (ou recherche des plus proches voisins) est une problématique que plusieurs communautés de recherche ont tenté de résoudre. Les systèmes de recherche par le contenu de l’information constituent l’une des solutions prometteuses à ce problème. Ces systèmes sont composés essentiellement de trois unités fondamentales, une unité de représentation des données pour l’extraction des primitives, une unité d’indexation multidimensionnelle
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11

Liu, Danzhou. "EFFICIENT TECHNIQUES FOR RELEVANCE FEEDBACK PROCESSING IN CONTENT-BASED IMAGE RETRIEVAL." Doctoral diss., University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2991.

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In content-based image retrieval (CBIR) systems, there are two general types of search: target search and category search. Unlike queries in traditional database systems, users in most cases cannot specify an ideal query to retrieve the desired results for either target search or category search in multimedia database systems, and have to rely on iterative feedback to refine their query. Efficient evaluation of such iterative queries can be a challenge, especially when the multimedia database contains a large number of entries, and the search needs many iterations, and when the underlying dist
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Djordjevic, Divna. "User relevance feedback, search and retrieval of visual content." Thesis, Queen Mary, University of London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432897.

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13

Meng, Zhao. "A Study on Web Search based on Coordinate Relationships." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/217205.

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Miotto, Riccardo. "Content-based Music Access: Combining Audio Features and Semantic Information for Music Search Engines." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421582.

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During the last decade, the Internet has reinvented the music industry. Physical media have evolved towards online products and services. As a consequence of this transition, online music corpora have reached a massive scale and are constantly being enriched with new documents. At the same time, a great quantity of cultural heritage content remains undisclosed because of the lack of metadata to describe and contextualize it. This has created a need for music retrieval and discovery technologies that allow users to interact with all these music repositories efficiently and effectively. Musi
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15

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
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Zerr, Sergej [Verfasser]. "Privacy preserving content analysis, indexing and retrieval for social search applications / Sergej Zerr." Hannover : Technische Informationsbibliothek (TIB), 2015. http://d-nb.info/1081963301/34.

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17

Zhou, Zhen Hao (Howard). "An exemplar-based approach to search-assisted computer-aided diagnosis of pigmented skin lesions." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37311.

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Over the years, exemplar-based methods have yielded significant improvements over their model-based counterparts in image synthesis applications. Notably, texture synthesis algorithms using an exemplar-based approach have shown success where traditional stochastic methods failed. As an illustrative example, I will present an exemplar-based approach that yields substantial benefits for user-guided terrain synthesis using Digital Elevation Models (DEMs). This success is realized through exploitation of structural properties of natural terrain. In addition to their proliferation in the image synt
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18

Na, Jin-Cheon, Christopher S. G. Khoo, and Syin Chan. "A sentiment-based meta search engine." School of Communication & Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/106241.

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This study is in the area of sentiment classification: classifying online review documents according to the overall sentiment expressed in them. This paper presents a prototype sentiment-based meta search engine that has been developed to perform sentiment categorization of Web search results. It assists users to quickly focus on recommended or non-recommended information by classifying Web search results into four categories: positive, negative, neutral, and non-review documents. It does this by using an automatic classifier based on a supervised machine learning algorithm, Support Vector Mac
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19

Koopman, Bevan Raymond. "Semantic search as inference : applications in health informatics." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/71385/1/Bevan_Koopman_Thesis.pdf.

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This thesis developed new search engine models that elicit the meaning behind the words found in documents and queries, rather than simply matching keywords. These new models were applied to searching medical records: an area where search is particularly challenging yet can have significant benefits to our society.
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Tjondronegoro, Dian W. "PhD Thesis: "Content-based Video Indexing for Sports Applications using Multi-modal approach"." Thesis, Deakin University, 2005. https://eprints.qut.edu.au/2199/1/PhDThesis_Tjondronegoro.pdf.

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Triggered by technology innovations, there has been a huge increase in the utilization of video, as one of the most preferred types of media due to its content richness, for many significant applications. To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. However, current video indexing solutions are still immature and lack of any standard. One solution, namely annotation-based indexing, allows video retrieval using textual annotations. However, the major limitations are the restrictions of pre-defined
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Zeng, Kaiman. "Next Generation of Product Search and Discovery." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2312.

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Online shopping has become an important part of people’s daily life with the rapid development of e-commerce. In some domains such as books, electronics, and CD/DVDs, online shopping has surpassed or even replaced the traditional shopping method. Compared with traditional retailing, e-commerce is information intensive. One of the key factors to succeed in e-business is how to facilitate the consumers’ approaches to discover a product. Conventionally a product search engine based on a keyword search or category browser is provided to help users find the product information they need. The genera
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22

Laurier, Cyril François. "Automatic Classification of musical mood by content-based analysis." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/51582.

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In this work, we focus on automatically classifying music by mood. For this purpose, we propose computational models using information extracted from the audio signal. The foundations of such algorithms are based on techniques from signal processing, machine learning and information retrieval. First, by studying the tagging behavior of a music social network, we find a model to represent mood. Then, we propose a method for automatic music mood classification. We analyze the contributions of audio descriptors and how their values are related to the observed mood. We also propose a multimodal ve
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23

Bahga, Arshdeep. "Technologies for context based video search." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33824.

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This thesis presents methods and a system for video search over the internet or the intranet. The objective is to design a real time and automated video clustering and search system that provides users of the search engine the most relevant videos available that are responsive to a query at a particular moment in time, and supplementary information that may also be useful. The thesis highlights methods to mitigate the effect of the semantic gap faced by current content based video search approaches. A context-sensitive video ranking scheme is used, wherein the context is generated in an automa
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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, Limin. "Contextual Web Search Based on Semantic Relationships: A Theoretical Framework, Evaluation and a Medical Application Prototype." Diss., Tucson, Arizona : University of Arizona, 2006. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1602%5F1%5Fm.pdf&type=application/pdf.

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26

Tsukuda, Kosetsu. "A Study on Web Search and Analysis based on Typicality." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/192217.

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27

Morrison, Patrick Jason. "Tagging and Searching: Search Retrieval Effectiveness of Folksonomies on the Web." [Kent, Ohio] : Kent State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1177305096.

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Thesis (M.S.)--Kent State University, 2007.<br>Title from PDF t.p. (viewed July 2, 2007). Advisor: David B. Robins. Keywords: information retrieval, search engine, social bookmarking, tagging, folksonomy, Internet, World Wide Web. Includes survey instrument. Includes bibliographical references (p. 137-141).
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Wu, Paul Horng Jyh, Jin Cheon Na, and Christopher S. G. Khoo. "A hybrid approach to fuzzy name search incorporating language-based and textbased principles." SAGE Publications, 2007. http://hdl.handle.net/10150/105835.

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Name Search is an important search function in various types of information retrieval systems, such as online library catalogs and electronic yellow pages. It is also difficult due to the high degree of fuzziness required in matching name variants. Previous approaches to name search systems use ad hoc combinations of search heuristics. This paper first discusses two approaches to name modelingâ the natural language processing (NLP) and the information retrieval (IR) modelsâ and proposes a hybrid approach. The approach demonstrates a critical combination of complementary NLP and IR featu
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Golub, Koraljka. "Subject retrieval in web-based library catalogs." Licentiate thesis, Filozofski fakultet u Zagrebu, Department of Information Science, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37099.

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This thesis has been motivated by past research, problems and realizations that online library catalog users frequently perform subject searches – using keywords, subject headings and descriptors – and these searches have yielded unsatisfactory results. Web-based catalogs or WebPACs (Web-based Online Public Access Catalogs), belonging to the so-called third generation of online catalogs and providing a wide variety of search options, remain largely underutilized despite the continuous advancement of information retrieval systems. Users still encounter a number of problems, such as those relate
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Zhang, Nan. "TRANSFORM BASED AND SEARCH AWARE TEXT COMPRESSION SCHEMES AND COMPRESSED DOMAIN TEXT RETRIEVAL." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3938.

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In recent times, we have witnessed an unprecedented growth of textual information via the Internet, digital libraries and archival text in many applications. While a good fraction of this information is of transient interest, useful information of archival value will continue to accumulate. We need ways to manage, organize and transport this data from one point to the other on data communications links with limited bandwidth. We must also have means to speedily find the information we need from this huge mass of data. Sometimes, a single site may also contain large collections of data such as
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Straub, Sebastian. "Towards Collaborative Session-based Semantic Search." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-229549.

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In recent years, the most popular web search engines have excelled in their ability to answer short queries that require clear, localized and personalized answers. When it comes to complex exploratory search tasks however, the main challenge for the searcher remains the same as back in the 1990s: Trying to formulate a single query that contains all the right keywords to produce at least some relevant results. In this work we want to investigate new ways to facilitate exploratory search by making use of context information from the user's entire search process. Therefore we present the concept
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Dickerson, Kyle B. "Musical Query-by-Content Using Self-Organizing Maps." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1795.

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The ever-increasing density of computer storage devices has allowed the average user to store enormous quantities of multimedia content, and a large amount of this content is usually music. Current search techniques for musical content rely on meta-data tags which describe artist, album, year, genre, etc. Query-by-content systems, however, allow users to search based upon the actual acoustical content of the songs. Recent systems have mainly depended upon textual representations of the queries and targets in order to apply common string-matching algorithms and are often confined to a single qu
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33

Westerdahl, Simon, and Larsson Fredrik Lemón. "Optimization for search engines based on external revision database." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21000.

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The amount of data is continually growing and the ability to efficiently search through vast amounts of data is almost always sought after. To efficiently find data in a set there exist many technologies and methods but all of them cost in the form of resources like cpu-cycles, memory and storage. In this study a search engine (SE) is optimized using several methods and techniques. Thesis looks into how to optimize a SE that is based on an external revision database.The optimized implementation is compared to a non-optimized implementation when executing a query. An artificial neural network (
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Appleton, Elizabeth A. "Exploring the Use of Evidence Based Practice Questions to Improve the Search Process." Thesis, School of Information and Library Science, 2007. http://hdl.handle.net/1901/386.

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Evidence Based Practice (EBP) is a relatively new approach that professionals are using to cope with the ever-growing body of literature in their fields. The goal of EBP is to effectively use this body of literature to improve professional practice, thus improving the quality of services. A major component of EBP is asking a focused, well-built question, referred to in this paper as an Evidence Based Practice Question (EBPQ). This paper reports the findings of an exploratory study that examines the use an EBPQ to respond to reference questions emailed to a university library reference desk.
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Kacem, Sahraoui Ameni. "Personalized information retrieval based on time-sensitive user profile." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30111/document.

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Les moteurs de recherche, largement utilisés dans différents domaines, sont devenus la principale source d'information pour de nombreux utilisateurs. Cependant, les Systèmes de Recherche d'Information (SRI) font face à de nouveaux défis liés à la croissance et à la diversité des données disponibles. Un SRI analyse la requête soumise par l'utilisateur et explore des collections de données de nature non structurée ou semi-structurée (par exemple : texte, image, vidéo, page Web, etc.) afin de fournir des résultats qui correspondent le mieux à son intention et ses intérêts. Afin d'atteindre cet ob
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Völske, Michael [Verfasser], Benno [Akademischer Betreuer] Stein, and Pertti [Gutachter] Vakkari. "Retrieval Enhancements for Task-Based Web Search / Michael Völske ; Gutachter: Pertti Vakkari ; Betreuer: Benno Stein." Weimar : Bauhaus-Universität Weimar, 2019. http://d-nb.info/1190568861/34.

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37

Yeh, Shea-Tinn. "Integrated Faceted Browser and Direct Search to Enhance Information Retrieval in Text-Based Digital Libraries." Wright State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=wright1252951819.

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38

Zhu, Dengya. "Improving the relevance of search results via search-term disambiguation and ontological filtering." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/2486.

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With the exponential growth of the Web and the inherent polysemy and synonymy problems of the natural languages, search engines are facing many challenges such as information overload, mismatch of search results, missing relevant documents, poorly organized search results, and mismatch of human mental model of clustering engines. To address these issues, much effort including employing different information retrieval (IR) models, information categorization/clustering, personalization, semantic Web, ontology-based IR, and so on, has been devoted to improve the relevance of search results. The m
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Smith, Martin Philip. "The effectiveness of document ranking and relevance feedback techniques in a thesaurus-based search intermediary system." Thesis, University of Huddersfield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296001.

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Barioni, Maria Camila Nardini. "Operações de consulta por similaridade em grandes bases de dados complexos." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28092006-151225/.

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Os Sistemas de Gerenciamento de Bases de Dados (SGBD) foram desenvolvidos para armazenar e recuperar de maneira eficiente dados formados apenas por números ou cadeias de caracteres. Entretanto, nas últimas décadas houve um aumento expressivo, não só da quantidade, mas da complexidade dos dados manipulados em bases de dados, dentre eles os de natureza multimídia (como imagens, áudio e vídeo), informações geo-referenciadas, séries temporais, entre outros. Assim, surgiu a necessidade do desenvolvimento de novas técnicas que permitam a manipulação eficiente de tipos de dados complexos. Para atende
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Zhu, Dengya. "Improving the relevance of search results via search-term disambiguation and ontological filtering." Curtin University of Technology, School of Information Systems, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=9348.

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With the exponential growth of the Web and the inherent polysemy and synonymy problems of the natural languages, search engines are facing many challenges such as information overload, mismatch of search results, missing relevant documents, poorly organized search results, and mismatch of human mental model of clustering engines. To address these issues, much effort including employing different information retrieval (IR) models, information categorization/clustering, personalization, semantic Web, ontology-based IR, and so on, has been devoted to improve the relevance of search results. The m
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42

Bonetti, Lorenzo. "Design and implementation of a real-world search engine based on Okapi BM25 and SentenceBERT." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24774/.

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The work conducted in this thesis aims to present an hybrid model for a real­ world application search engine. The project presented was part of an intern­ship work carried out in a start­up which deals with Knowledge Management and Artificial Intelligence. The aim of the internship work was to improve the current search engine system to build a new system for a future web ap­plication use case. An in­-depth study on the limitations of keyword search alone, and on semantic search, revealed the need of a transition from a pure keyword­-based information retrieval system to an hybrid model, maki
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Bueno, Renato. "Tratamento de tempo e dinamicidade em dados representados em espaços métricos." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30032010-142105/.

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Os Sistemas de Gerenciamento de Bases de Dados devem atualmente ser capazes de gerenciar dados complexos, como dados multimídia, sequências genéticas, séries temporais, além dos dados tradicionais. Em consultas em grandes coleções de dados complexos, a similaridade entre os dados é o fator mais importante, e pode ser adequadamente expressada quando esses dados são representados em espaços métricos. Independentemente do domínio de um tipo de dados, existem aplicações que devem acompanhar a evolução temporal dos elementos de dados. Porém, os Métodos de Acesso Métrico existentes consideram que os
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Broccolo, Daniele <1984&gt. "Query log based techniques to improve the performance of a web search engine." Doctoral thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/4635.

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Every user leaves traces of her/his behaviour when she/he surfs the Web. All the usage data generated by users is stored in logs of several web applications, and such logs can be used to extract useful knowledge for enhancing and improving performance of online services. Also Search Engines (SEs) store usage information in so-called query logs, which can be used in different ways to improve the SE user experience. In this thesis we focus on improving the performance of a SE, in particular its effectiveness and efficiency, through query log mining. We propose to enhance the performance of SEs
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Danish, Muhammad Rafique, and Sajjad Ali Khan. "Component Repository Browser." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7707.

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<p>The main goal of this thesis is to investigate efficient searching mechanisms for searching and retrieving software components across different remote repositories and implement a supporting prototype called “Component Repository Browser” using the plug-in based Eclipse technology for PROGRESS-IDE. The prototype enables users to search the ProCom components and to import the desired components from a remote repository server over different protocols such as HTTP, HTTPS, and/or SVN. Several component searching mechanisms and suggestions were studied and examined such as keyword, facet-based
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46

Lisena, Pasquale. "Knowledge-based music recommendation : models, algorithms and exploratory search." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS614.

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Représenter l'information décrivant la musique est une activité complexe, qui implique différentes sous-tâches. Ce manuscrit de thèse porte principalement sur la musique classique et étudie comment représenter et exploiter ses informations. L'objectif principal est l'étude de stratégies de représentation et de découverte des connaissances appliquées à la musique classique, dans des domaines tels que la production de base de connaissances, la prédiction de métadonnées et les systèmes de recommandation. Nous proposons une architecture pour la gestion des métadonnées de musique à l'aide des techn
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Linckels, Serge. "An e-librarian service : supporting explorative learning by a description logics based semantic retrieval tool." Phd thesis, Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2008/1745/.

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Although educational content in electronic form is increasing dramatically, its usage in an educational environment is poor, mainly due to the fact that there is too much of (unreliable) redundant, and not relevant information. Finding appropriate answers is a rather difficult task being reliant on the user filtering of the pertinent information from the noise. Turning knowledge bases like the online tele-TASK archive into useful educational resources requires identifying correct, reliable, and "machine-understandable" information, as well as developing simple but efficient search tools with t
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48

Bouvin, Anita. "Platsbaserad sökning : En metod för filtrering och sortering av sökresultat." Thesis, Linnéuniversitetet, Institutionen för medieteknik (ME), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-24665.

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Informationssökningar av olika slag sker dagligen världen över och sökresultatet kan många gånger vara så stort att användarna har svårt att veta vilka sökresultat som är relevanta. I denna uppsats har syftet varit att undersöka hur sökresultat kan filtreras och sorteras med hjälp av platsbaserad sökning för att det ska bli mer relevant för användaren. Genom litteraturstudie och intervjuer har det blivit möjligt att ta reda på hur ett sökresultat skulle kunna filtreras och sorteras för att möta användarnas förväntningar. De teorier och slutsatser som framkom tillämpa
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Schei, Håvard. "A Decentralized Architecture Using the Null-Space-Based Behavioral Control For Multi-Agent Systems with Application to Border Patrolling, Search and Retrieval." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27030.

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This report proposes a new method for searching and retrieving a dynamically changing border using robotic multi-agent systems as an extension to the patrolling task - the problem of coordinating autonomous agents patrolling a border. The proposed method is a decentralized and self-organizing system built in the framework of the Null-Space-Based behavioral control and is controlled by a Finite State supervisor. The system encourages cooperation among the agents without the use of explicit and direct communication and from the simple interactions between agents the system hopes to emerge a glob
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Yang, Y. "Metaheuristic based Peer Rewiring for Semantic Overlay Networks." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/236979.

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A Peer-to-Peer (P2P) platform is considered for collaborative Information Retrieval (IR). Each peer hosts a collection of text documents with subjects related to its owner's interests. Without a global indexing mechanism, peers locally index their documents, and provide the service to answer queries. A decentralized protocol is designed, enabling the peers to collaboratively forward queries from the initiator to the peers with relevant documents. Semantic Overlay Network (SON) is one of the state-of-the-art solutions, where peers with semantically similar resources are clustered. IR can the
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