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Chuleekorn, Thanongsitt. "Management of information system implementation from a power perspective : case studies of organisations in Thailand." Thesis, University of Sheffield, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575715.
Повний текст джерелаLee, Deborah. "Modelling music : a theoretical approach to the classification of notated Western art music." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/17445/.
Повний текст джерелаКанівець, Дмитро Володимирович. "Математичне та програмне забезпечення класифікації наукових текстів". Master's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/31517.
Повний текст джерелаRelevance: to simplify the search for relevant information among scientific publications in Ukraine, a library classification is used. However, this system is not perfect at this time, because classification is erroneous, and in some cases it is executed for the journal as a whole, which results in partial discrepancies for some of its articles. Also, it takes a long time to perform the classification by a third party (such as a librarian or editor). The solution to this problem is to automate the classification process. By using machine learning, automatic classifier can be created, which will improve the accuracy of the classification compared to manual and accelerate the classification of new revenues. Purpose: create a classifier of scientific articles by UDC categories based on machine learning. To achieve this goal, the following tasks were formulated: - systematization of existing text data classification algorithms; - gathering sufficient training data, developing a classifier based on machine learning; - testing and analysis of the efficiency of the obtained algorithm; - determining the further direction of research. Object of study: library classification of scientific articles. Subject of study: algorithms for classification of text data. Research methods: naive Bayes classifier, neural networks, backpropagation algorithm were used to solve this problem. Scientific novelty: the most significant scientific results of a master's thesis are the study of the possibilities of automation of the classification of scientific texts; search for mistakes in already classified texts; creation of classification algorithms for distinguishing categories in texts of similar subjects. The practical value of the obtained results is determined by the fact that the proposed algorithm allows to achieve the accuracy of library classification in 86%, which allows to use it for finding and correcting errors in the classification of texts, as well as an aid in the classification of new receipts. Relationship with working with scientific programs, plans, topics: work was performed at the Department of Automated Information Processing and Management Systems of the Igor Sikorsky National Technical University of Ukraine «Kyiv Polytechnic Institute» within the topic «Mathematical Models and Technologies in DSS». State Registration Number 0117U000914 Approbation: the main provisions of the work were reported and discussed at the XIII Scientific and Practical Conference of undergraduate and graduate students «Applied Mathematics and Computing» (AMP-2019), as well as at the third all-Ukrainian scientific and practical conference of young scientists and students «Information Systems and Technologies of Management» (ISTM-2019).
Sayah, Tarek. "Selective disclosure and inference leakage problem in the Linked Data." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE1156/document.
Повний текст джерелаThe emergence of the Semantic Web has led to a rapid adoption of the RDF (Resource Description Framework) to describe the data and the links between them. The RDF graph model is tailored for the representation of semantic relations between Web objects that are identified by IRIs (Internationalized Resource Identifier). The applications that publish and exchange potentially sensitive RDF data are increasing in many areas: bioinformatics, e-government, open data movement. The problem of controlling access to RDF content and selective exposure to information based on privileges of the requester becomes increasingly important. Our main objective is to encourage businesses and organizations worldwide to publish their RDF data into the linked data global space. Indeed, the published data may be sensitive, and consequently, data providers may avoid to release their information, unless they are certain that the desired access rights of different accessing entities are enforced properly, to their data. Hence the issue of securing RDF content and ensuring the selective disclosure of information to different classes of users is becoming all the more important. In this thesis, we focused on the design of a relevant access control for RDF data. The problem of providing access controls to RDF data has attracted considerable attention of both the security and the database community in recent years. New issues are raised by the introduction of the deduction mechanisms for RDF data (e.g., RDF/S, OWL), including the inference leakage problem. Indeed, when an owner wishes to prohibit access to information, she/he must also ensure that the information supposed secret, can’t be inferred through inference mechanisms on RDF data. In this PhD thesis we propose a fine-grained access control model for RDF data. We illustrate the expressiveness of the access control model with several conict resolution strategies including most specific takes precedence. To tackle the inference leakage problem, we propose a static verification algorithm and show that it is possible to check in advance whether such a problem will arise. Moreover, we show how to use the answer of the algorithm for diagnosis purposes. To handle the subjects' privileges, we define the syntax and semantics of a XACML inspired language based on the subjects' attributes to allow much finer access control policies. Finally, we propose a data-annotation approach to enforce our access control model, and show that our solution incurs reasonable overhead with respect to the optimal solution which consists in materializing the user's accessible subgraph to enforce our access control model, and show that our solution incurs reasonable overhead with respect to the optimal solution which consists in materializing the user's accessible subgraph
Codocedo-Henríquez, Víctor. "Contributions à l'indexation et à la recherche d'information avec l'analyse formelle de concepts." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0143/document.
Повний текст джерелаOne of the first models ever to be considered as an index for documents using terms as descriptors, was a lattice structure, a couple of decades before the arrival of Formal Concept Analysis (FCA) as a solid theory for data mining and knowledge discovery.While the Information Retrieval (IR) community has shifted to more advanced techniques for document retrieval, like probabilistic and statistic paradigms, the interest of the FCA community on developing techniques that would improve the state-of-the-art in IR while providing relevance feedback and semantic based features, never decayed. In this thesis we present a set of contributions on what we call FCA-based IR systems. We have divided our contributions in two sets, namely retrieval and indexing. For retrieval, we propose a novel technique that exploits semantic relations among descriptors in a document corpus and a new concept lattice navigation strategy (called cousin concepts), enabling us to support classification-based reasoning to provide better results compared with state-of-the-art retrieval techniques. The basic notion in our strategy is supporting query modification using "term replacements'' using the lattice structure and semantic similarity. For indexing, we propose a new model that allows supporting the vector space model of retrieval using concept lattices. One of the main limitations of current FCA-based IR systems is related to the binary nature of the input data required for FCA to generate a concept lattice. We propose the use of pattern structures, an extension of FCA to deal with complex object descriptions, in order to support more advanced retrieval paradigms like the vector space model. In addition, we propose an advanced model for heterogeneous indexing through which we can combine the vector space model and the Boolean retrieval model. The main advantage of this approach is the ability of supporting indexing of convex regions in an arbitrary vectorial space built from a document collection. Finally, we move forward to a mining model associated with document indexing, namely exhaustive bicluster enumeration using FCA. Biclustering is an emerging data analysis technique in which objects are related by similarity under certain attributes of the description space, instead of the whole description space like in standard clustering. By translating this problem to the framework of FCA, we are able to exploit the robust machinery associated with the computation of concept lattices to provide an algorithm for mining biclusters based on similar values. We show how our technique performs better than current exhaustive enumeration biclustering techniques
Chandler, Ben. "Equipping select local church leaders to increase missions giving by valuing and promoting the Cooperative Program." Theological Research Exchange Network (TREN), access this title online, 2006. http://dx.doi.org/10.2986/tren.054-0254.
Повний текст джерелаTorres, JoseÌ. "Visual information retrieval through interactive multimedia queries." Thesis, Lancaster University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431417.
Повний текст джерелаCooray, Shavindrie Flavia. "End-user driven development of information systems : revisiting Vickers' notion of 'appreciation'." Thesis, University of Portsmouth, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556971.
Повний текст джерелаNguyen, Tu. "Generating natural language explanations for entailments in ontologies." Thesis, Open University, 2013. http://oro.open.ac.uk/39116/.
Повний текст джерелаWall, Terry K. "Studies on frequency distributions of recorded use for students using academic library collections." Thesis, Loughborough University, 1987. https://dspace.lboro.ac.uk/2134/10938.
Повний текст джерелаLyons, Seamus. "Extraction and summarization of units of information from web text." Thesis, University of East Anglia, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493011.
Повний текст джерелаAl, Harrasi Nabhan Harith. "Understanding Omani academic library collaboration : a soft systems approach." Thesis, University of Sheffield, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575551.
Повний текст джерелаFarhan, Huda Rashed. "Recruiting the public : the potential of folksonomies for organizing and retrieving information in an e-government context." Thesis, University of Sheffield, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555896.
Повний текст джерелаZeranou, Kalliopi. "Template rule development for information extraction: The net method." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489539.
Повний текст джерелаCarrea, Laura. "Optimised probabilistic data structures for forwarding in information centric networking." Thesis, University of Essex, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601507.
Повний текст джерелаAlbakour, M.-Dyaa. "Adaptive domain modelling for information retrieval." Thesis, University of Essex, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573703.
Повний текст джерелаLopez, Vanessa. "PowerAqua : open question answering on the semantic web." Thesis, Open University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.578555.
Повний текст джерелаRoa, Seungwan. "Internet interpersonal communications : an industrial design approach to interfaces and products." Thesis, Goldsmiths College (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406790.
Повний текст джерелаJayalal, S. G. V. S. "Web site link prediction and semantic relatedness of web pages." Thesis, Keele University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421664.
Повний текст джерелаEmerson, Pamela Margaret. "From club room to Carnegie Library: patterns of book borrowing and lending in Ulster 1788-1908." Thesis, Ulster University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.673815.
Повний текст джерелаChoulis, Konstantinos. "Conservation treatments carried out on the Greek manuscripts of the Fondo Anitco in the Vatican Library (15th - 20th centuries)." Thesis, University of London, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.639825.
Повний текст джерелаDreza, Omar M. A. "Approach for handling positional uncertainty when combining distributed heterogeneous vector data sources." Thesis, Heriot-Watt University, 2005. http://hdl.handle.net/10399/201.
Повний текст джерелаSpacey, Rachel Elizabeth. "The attitudes of public library staff to the Internet and evaluations of Internet training." Thesis, Loughborough University, 2003. https://dspace.lboro.ac.uk/2134/10210.
Повний текст джерелаTruran, Mark. "The theory and practice of co-active search." Thesis, University of Nottingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430760.
Повний текст джерелаGarratt, Andrea. "The construction of the builder and searcher components of WWWLIB-TNG." Thesis, University of Wolverhampton, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425248.
Повний текст джерелаKlampanos, Iraklis Angelos. "A cluster-based architecture for peer-to-peer information retrieval." Thesis, University of Glasgow, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433270.
Повний текст джерелаMiras, Dimitrios. "Quality-aware adaptation of internet video using objective quality metrics." Thesis, University College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411044.
Повний текст джерелаCastilla, Celia Casado. "Flexible text recovery and recognition from degraded historical typewritten documents." Thesis, University of Liverpool, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442003.
Повний текст джерелаFerguson, John Douglas. "Quality, collaboration and usability in process design." Thesis, University of Strathclyde, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415374.
Повний текст джерелаRobinson, Martin H. "Intelligent information retrieval using web communities." Thesis, University of Ulster, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424555.
Повний текст джерелаMusgrave, Stephen J. "Telematics for community portal development." Thesis, Open University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427485.
Повний текст джерелаArmitage, Ursula Marie. "Navigation and learning in electronic texts." Thesis, City University London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412608.
Повний текст джерелаCrudge, Sarah Elizabeth. "Mental models of Internet search engines : eliciting user perceptions through repertory grid technique." Thesis, Manchester Metropolitan University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423529.
Повний текст джерелаRamaiah, Chennupati K. "Hypertext and the training of library and information studies students." Thesis, Loughborough University, 1993. https://dspace.lboro.ac.uk/2134/26896.
Повний текст джерелаAbraham, Ann. "Information seeking from Web-based resources : sensemaking strategies and implications for interaction design." Thesis, Open University, 2013. http://oro.open.ac.uk/41292/.
Повний текст джерелаChapman, Christopher. "Embedded metadata within persistent indentifiers to enhance a corpus of digital documents." Thesis, University of Nottingham, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404161.
Повний текст джерелаAzzopardi, Leif. "Incorporating context within the language modeling approach for ad hoc information retrieval." Thesis, University of the West of Scotland, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427712.
Повний текст джерелаZorba, Ioanna. "The management and role of library e-presence : a study into British academic library websites." Thesis, Manchester Metropolitan University, 2014. http://e-space.mmu.ac.uk/311305/.
Повний текст джерелаOrengo, Viviane Moreira. "Assessing relevance using automatically translated documents for cross-language information retrieval." Thesis, Middlesex University, 2004. http://eprints.mdx.ac.uk/13606/.
Повний текст джерелаAl-Rawi, Momen M. "Detecting network Quality of Service on a hop-by-hop basis for on-line multimedia application connections." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/36046.
Повний текст джерелаNanas, Nikolaos. "Towards Nootropia : a non-linear approach to adaptive document filtering." Thesis, Open University, 2003. http://oro.open.ac.uk/54624/.
Повний текст джерелаLubanski, Adam Roman. "Returns to the delivery and support of information services for academic research and learning : the importance of data and information support." Thesis, University College London (University of London), 1999. http://discovery.ucl.ac.uk/10019785/.
Повний текст джерелаBack, Jonathan. "Predicting the utility of feedback judgements using cognitive load theory." Thesis, Loughborough University, 2003. https://dspace.lboro.ac.uk/2134/34088.
Повний текст джерелаMaleki-Dizaji, Saeedeh. "Evolutionary learning multi-agent based information retrieval systems." Thesis, Sheffield Hallam University, 2003. http://shura.shu.ac.uk/6856/.
Повний текст джерелаSmith, Ashley D. "Who controls the past controls the future : life annotation in principle and practice." Thesis, University of Southampton, 2008. https://eprints.soton.ac.uk/266554/.
Повний текст джерелаVinay, V. "The relevance of feedback for text retrieval." Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1446146/.
Повний текст джерелаTanase, 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.
Повний текст джерелаMansourian, Yazdan. "Information visibility on the Web and conceptions of success and failure in Web searching." Thesis, University of Sheffield, 2006. http://etheses.whiterose.ac.uk/15101/.
Повний текст джерелаChwalinski, Pawel. "Detection of unsolicited web browsing with clustering and statistical analysis." Thesis, Middlesex University, 2014. http://eprints.mdx.ac.uk/14411/.
Повний текст джерелаKnoth, Petr. "Linking textual resources to support information discovery." Thesis, Open University, 2015. http://oro.open.ac.uk/42677/.
Повний текст джерела