NDLI: Ontology-based semantic similarity: A new approach based on analysis of the concept intent

Content Provider	IEEE Xplore Digital Library
Author	Jian-Bo Gao Bao-Wen Zhang Xiao-Hua Chen
Copyright Year	2013
Description	Author affiliation: Inf. Security Dept., Shanghai Jiao Tong Univ., Shanghai, China (Jian-Bo Gao; Bao-Wen Zhang) \|\| China Inf. Security Certification Center, Beijing, China (Xiao-Hua Chen)
Abstract	Ontology offers a structured knowledge representation and provides formal interpretation of concepts which can be used in semantic similarity measuring. In this paper, we analyze these ontology-based approaches for semantic similarity computation and propose a new ontology-based measure relying on exploiting intent of the concept. Our measurement combines the idea of two popular semantic similarity calculation approaches: graph-based approaches and feature-based measures. In order to compute the semantic similarity of concepts in ontology, a new algorithm is presented. We compare results obtained by our method with other two typical approaches, the results show that our measurement can distinguish fine differences between concepts and thus has finer granularity.
Starting Page	676
Ending Page	681
File Size	567570
Page Count	6
File Format	PDF
ISBN	9781479902606
DOI	10.1109/ICMLC.2013.6890375
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Abstracts Equations Semantics Feature-based measure Semantic similarity Ontology Formal Concept intent
Content Type	Text
Resource Type	Article

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