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Precise information retrieval in semantic scientific digital libraries

Defense Thèse de doctorat : Univ. Genève, 2014 - SES 869 - 2014/12/01
Abstract When scientists are looking for information in document collections, they generally have a precise objective in mind. They try to answer specific needs such as finding the definition of a concept, checking whether an idea has already been tested, or comparing the scientific conclusions of several documents. To build better information system model it is important to understand the needs of scientists in terms of information and their seeking information behaviour. The contributions of this thesis are to a) offer a user model; b) propose a generic annotation model (SciAnnotDoc) for scientific documents; c) demonstrate that the annotation model is realistic enough to be used by both manual and automatic methods of annotation; d) build a faceted search interface (FSAD) and e) evaluate the model with scientists and show that the FSAD interface is more effective than a keywords-search, notably in terms of user preference, recall and F1 measure.
Keywords OntologyInformation RetrievalSemantic publishingKnowledge engineeringKnowledge Management
URN: urn:nbn:ch:unige-431654
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Thesis (10.9 MB) - public document Free access
Research group Information Retrieval and Machine Group
Swiss National Science Foundation: 122061
Swiss National Science Foundation: 138252
(ISO format)
DE RIBAUPIERRE, Hélène. Precise information retrieval in semantic scientific digital libraries. Université de Genève. Thèse, 2014. doi: 10.13097/archive-ouverte/unige:43165 https://archive-ouverte.unige.ch/unige:43165

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Deposited on : 2014-12-12

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