Semantic Relation between Words with the Web as Information Source

Authors:
Tanmay Basu;C. A. Murthy
Affiliations:
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

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Abstract

Semantic relation is an important concept of information science. Now a days it is widely used in semantic web. This paper aims to present a measure to automatically determine semantic relation between words using web as knowledge source. It explores whether two words are related or not even if they are dissimilar in meaning. The proposed formula is a function of frequency of occurrences of the words in each document in the corpus. This relationship measure will be useful to extract semantic information from the web . Experimental evaluation on ten manually selected word pairs using the WebKb data as information source demonstrates the effectiveness of the proposed semantic relation.