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Semantic similarity methods in wordNet and their application to information retrieval on the web

Petrakis Evripidis, Voutsakis Epimenidis , Varelas Giannis, Raftopoulou Paraskevi , Evangelos E. Milios

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URIhttp://purl.tuc.gr/dl/dias/9182167E-8BDB-46D9-A98B-525681EB3025-
Αναγνωριστικόhttps://doi.org/10.1145/1097047.1097051-
Γλώσσαen-
ΤίτλοςSemantic similarity methods in wordNet and their application to information retrieval on the weben
ΔημιουργόςPetrakis Evripidisen
ΔημιουργόςΠετρακης Ευριπιδηςel
ΔημιουργόςVoutsakis Epimenidis en
ΔημιουργόςVarelas Giannisen
ΔημιουργόςRaftopoulou Paraskevi en
ΔημιουργόςEvangelos E. Miliosen
ΕκδότηςAssociation for Computing Machineryen
ΠερίληψηSemantic Similarity relates to computing the similarity between concepts which are not lexicographically similar. We investigate approaches to computing semantic similarity by mapping terms (concepts) to an ontology and by examining their relationships in that ontology. Some of the most popular semantic similarity methods are implemented and evaluated using WordNet as the underlying reference ontology. Building upon the idea of semantic similarity, a novel information retrieval method is also proposed. This method is capable of detecting similarities between documents containing semantically similar but not necessarily lexicographically similar terms. The proposed method has been evaluated in retrieval of images and documents on the Web. The experimental results demonstrated very promising performance improvements over state-of-the-art information retrieval methods.en
ΤύποςΠερίληψη Δημοσίευσης σε Συνέδριοel
ΤύποςConference Paper Abstracten
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-01-
Ημερομηνία Δημοσίευσης2005-
Βιβλιογραφική ΑναφοράGiannis Varelas, Paraskevi Raftopoulou, Euripides G.M. Petrakis, Evangelos E. Milios, "Semantic Similarity Methods in WordNet and their Application to Information Retrieval on the Web" , in 7th ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005, pp. 10-16. doi:10.1145/1097047.1097051en

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