REV: extracting entity relations from world wide web

Authors:
Chao Chen;Liang He;Xin Lin
Affiliations:
East China Normal University, Shanghai, China;East China Normal University, Shanghai, China;East China Normal University, Shanghai, China
Venue:
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Year:
2012

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Abstract

Quantities of valuable relation knowledge are contained in textual documents on the World Wide Web. However, those data are always organized in semi-structured text and cannot be used directly. We develop an automatic and effective approach to extract relations from World Wide Web, which just requires a few user specified seed instances as input. Those instances are used to generate extraction rules that in turn result in new instances. And in order to improve the reliability of results, an effective method is proposed to assess new extracted instances. This paper introduces the approach in details and the experimental results show that the approach achieves an average precision of 98.67% and can preferably complete the relation extraction task.