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Upravlenie Bol'shimi Sistemami, 2013, Issue 41, Pages 51–92
(Mi ubs648)
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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
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.
Citation:
Ba Ngoc Nguyen, A. Tuzovsky, “Information retrieval model based on semantic metadata”, UBS, 41 (2013), 51–92
Linking options:
https://www.mathnet.ru/eng/ubs648 https://www.mathnet.ru/eng/ubs/v41/p51
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Statistics & downloads: |
Abstract page: | 650 | Full-text PDF : | 134 | References: | 51 | First page: | 2 |
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