Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model
Authors | Wenjuan Wu Tao Liu He Hu Xiaoyong Du |
|---|---|
Publication date | 2012 |
DOI | 10.1109/ChinaGrid.2012.20 |
Links | Original |
Extracting Domain-Relevant Term Using Wikipedia based on Random Walk Model - scientific work related to Wikipedia quality published in 2012, written by Wenjuan Wu, Tao Liu, He Hu and Xiaoyong Du.
Overview
In this paper authors 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, approach can identify large quantities of domain-relevant concepts and entities with very little human effort. Experimental results show that method achieves high accuracy and acceptable efficiency in domain-relevant term extraction.
