The Community for Technology Leaders
2013 8th ChinaGrid Annual Conference (2012)
Beijing, China China
Sept. 20, 2012 to Sept. 23, 2012
ISBN: 978-1-4673-2623-0
pp: 68-75
ABSTRACT
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.
INDEX TERMS
Encyclopedias, Internet, Electronic publishing, Semantics, Ontologies, Biological system modeling, Link Graph, Domain-relevant Concepts, Markov Chain, Random Walk, Wikipedia
CITATION
Wenjuan Wu, Tao Liu, He Hu, Xiaoyong Du, "Extracting Domain-Relevant Term Using Wikipedia Based on Random Walk Model", 2013 8th ChinaGrid Annual Conference, vol. 00, no. , pp. 68-75, 2012, doi:10.1109/ChinaGrid.2012.20
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