Semantic similarity measurement methods

The state-of-the-art

Fatmah Nazar Mahmood, Amirah Ismail

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

With increasing importance of estimating the semantic similarity between concepts this study tries to highlight some methods used in this area. Similarity measurement between concepts has become a significant component in most intelligent knowledge management applications, especially in fields of Information Extraction (IE) and Information Retrieval (IR). Measuring similarity among concepts has been considered as a quantitative measure of the information; computation of similarity relies on the relations and the properties linked between the concepts in ontology. In this study we have briefly reviewed the main categories of semantic similarity.

Original languageEnglish
Pages (from-to)1923-1932
Number of pages10
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume8
Issue number18
Publication statusPublished - 2014

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Semantics
Knowledge management
Information retrieval
Ontology

Keywords

  • Feature based measures
  • Hybrid measures
  • Information content-based measures
  • Ontology based measures

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

Cite this

Semantic similarity measurement methods : The state-of-the-art. / Mahmood, Fatmah Nazar; Ismail, Amirah.

In: Research Journal of Applied Sciences, Engineering and Technology, Vol. 8, No. 18, 2014, p. 1923-1932.

Research output: Contribution to journalArticle

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