A Web Based Method for Measuring Semantic Relatedness between Words

Bo You; Ting Ting  He; Fang Li

doi:10.4028/www.scientific.net/AMM.347-350.783

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350A Web Based Method for Measuring Semantic...

A Web Based Method for Measuring Semantic Relatedness between Words

Abstract:

Semantic relatedness measures play important roles in many fields, such as information retrieval and Nature Language Processing. There are mainly two kinds of traditional methods to measure semantic relatedness: dictionary based and corpus based. However, with the development of information technology, web search engine is used to do this work. In this paper, we propose a method integrating page counts and web-based kernel function for measuring semantic relatedness between words. It gets a better result than using page counts and web-based kernel function alone. Experimental results show Spearman rank correlation coefficient can reach 0.63 and Correlation reach 0.724.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

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783-787

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.783

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Online since:

August 2013

Authors:

Bo You, Ting Ting He, Fang Li

Keywords:

Kernel Functions, Semantic Relatedness, Web Mining, Web Search

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