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Extracting Domain-Relevant Term Using Wikipedia Based on Random Walk Model

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4 Author(s)
Wenjuan Wu ; Key Labs. of Data Eng. & Knowledge Eng., China ; Tao Liu ; He Hu ; Xiaoyong Du

In this paper we present a new approach for the automatic identification of domain-relevant concepts and entities of a given domain using the category and page structures of the Wikipedia in a language independent way. By applying Markov random walk algorithm on the weighted Wikipedia link graph, our approach can identify large quantities of domain-relevant concepts and entities with very little human effort. Experimental results show that our method achieves high accuracy and acceptable efficiency in domain-relevant term extraction.

Published in:

ChinaGrid Annual Conference (ChinaGrid), 2012 Seventh

Date of Conference:

20-23 Sept. 2012