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Semantic Similarity Measure for Pairs of Short Biological Texts

Olivia Sanchez Graillet Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450699
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  1. Olivia Sanchez Graillet. Article: Semantic Similarity Measure for Pairs of Short Biological Texts. International Journal of Applied Information Systems 4(5):1-5, October 2012. BibTeX

    @article{key:article,
    	author = "Olivia Sanchez Graillet",
    	title = "Article: Semantic Similarity Measure for Pairs of Short Biological Texts",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 4,
    	number = 5,
    	pages = "1-5",
    	month = "October",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Finding the semantic similarity between biological texts, specially short texts, such as article abstracts and experiment descriptions of microarrays, may throw important information for experts in that field. To date, these methods have not been widely explored. In this paper, a comparison of different measures to calculate the semantic similarity of pairs of short biological texts is presented. An existing method for semantic similarity between general texts was adapted to be used in the biological context by employing the UMLS ontology. An evaluation of the methods was carried out and it was found that the adapted method works well for short biological texts.

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Keywords

Semantic Similarity, Ontology, Knowledge Discovery, Text Processing