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Upravlenie Bol'shimi Sistemami, 2013, Issue 41, Pages 51–92 (Mi ubs648)  

This article is cited in 1 scientific paper (total in 1 paper)

Systems Analysis

Information retrieval model based on semantic metadata

Ba Ngoc Nguyen, A. Tuzovsky

Tomsk Polytechnic University
References:
Abstract: Typically, existing ontology-based approaches to semantic search use semantic similarity between ontology concepts and individuals as basic building blocks. We propose a semantic similarity scheme for triples and for sets of triples. Based on the proposed concept of semantic similarity, a theoretical model of semantic search was proposed. The model uses presentation of documents and queries in the form of triple sets.
Keywords: ontology, semantic similarity, semantic search, semantic metadata, information retrieval model.
Document Type: Article
UDC: 681.3.06
BBC: 05.13.11
Language: Russian
Citation: Ba Ngoc Nguyen, A. Tuzovsky, “Information retrieval model based on semantic metadata”, UBS, 41 (2013), 51–92
Citation in format AMSBIB
\Bibitem{Ba Tuz13}
\by Ba Ngoc Nguyen, A.~Tuzovsky
\paper Information retrieval model based on semantic metadata
\jour UBS
\yr 2013
\vol 41
\pages 51--92
\mathnet{http://mi.mathnet.ru/ubs648}
Linking options:
  • https://www.mathnet.ru/eng/ubs648
  • https://www.mathnet.ru/eng/ubs/v41/p51
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Upravlenie Bol'shimi Sistemami
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    Abstract page:650
    Full-text PDF :134
    References:51
    First page:2
     
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