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Abstract
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Article Information:
Semantic Similarity Measurement Methods: The State-of-the-art
Fatmah Nazar Mahmood and Amirah Ismail
Corresponding Author: Fatmah Nazar Mahmood
Submitted: May 04, 2014
Accepted: June 08, 2014
Published: November 15, 2014 |
Abstract:
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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.
Key words: Feature based measures, hybrid measures, information content-based measures, ontology based measures, , ,
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Cite this Reference:
Fatmah Nazar Mahmood and Amirah Ismail, . Semantic Similarity Measurement Methods: The State-of-the-art. Research Journal of Applied Sciences, Engineering and Technology, (18): 1923-1932.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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