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Identifier 000385939
Title Semantic filtering of bibliographical articles
Alternative Title Σημασιολογικό φιλτράρισμα βιβλιογραφικών άρθρων
Author Μιχαήλ, Έλενα Αλεξάνδρου
Thesis advisor Rousset, Marie Christine
Reviewer Labbe, Cyril
Jouanot, Fabrice
Ulliana, Federico
Consultant Πλεξουσάκης, Δημήτριος
Abstract For researchers, finding bibliographical articles helps them to improve their knowledge on their domain of expertise. Hence, it’s a crucial but time-consuming task. In this project, we have investigated a new approach in which the keywords expressing the bibliographical needs of a researcher are related to a fine-grained description of her domain of expertise in the form of ontology. More precisely, we have developed an ontology related to a rare disease (the Prader-Willi syndrome) as a deductive database that we have described using Semantic Web standards (namely, RDFS enriched with rules), and stored as a set of RDF triples. We have obtained a knowledge base describing the content of a corpus filtered by the terms of the domain ontology. This knowledge base, made of a set of RDF triples and a set of rules, can be seen as a deductive database that can be saturated and then queried using the query language SPARQL. In particular, this approach enables querying capabilities that goes much beyond the keyword-based search capabilities offered by search engines and more generally by information retrieval systems. We have shown by example the interest and the power of such a declarative knowledge-based approach both for computing variety of statistics on the corpus and its correlation with formal terms of a domain of interest, and for helping experts to find useful fine-grained information within a textual corpus.
Language English
Subject Ontology
Sparql
Οντολογία
Issue date 2014-07-25
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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