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     Research Journal of Applied Sciences, Engineering and Technology


Semantic Similarity Measurement Methods: The State-of-the-art

Fatmah Nazar Mahmood and Amirah Ismail
Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia
Research Journal of Applied Sciences, Engineering and Technology  2014  18:1923-1932
http://dx.doi.org/10.19026/rjaset.8.1183  |  © The Author(s) 2014
Received: ‎May ‎04, ‎2014  |  Accepted: ‎June ‎08, ‎2014  |  Published: November 15, 2014

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.

Keywords:

Feature based measures, hybrid measures, information content-based measures, ontology based measures,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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