Semantic Relationship Discovery with Wikipedia Structure
Authors | Fan Bu Yu Hao Xiaoyan Zhu |
---|---|
Publication date | 2011 |
DOI | 10.5591/978-1-57735-516-8/IJCAI11-297 |
Links | Original Preprint |
Semantic Relationship Discovery with Wikipedia Structure - scientific work related to Wikipedia quality published in 2011, written by Fan Bu, Yu Hao and Xiaoyan Zhu.
Overview
Thanks to the idea of social collaboration, Wikipedia has accumulated vast amount of semi-structured knowledge in which the link structure reflects human's cognition on semantic relationship to some extent. In this paper, authors proposed a novel method RCRank to jointly compute concept-concept relatedness and concept-category relatedness base on the assumption that information carried in concept-concept links and concept-category links can mutually reinforce each other. Different from previous work, RCRank can not only find semantically related concepts but also interpret their relations by categories. Experimental results on concept recommendation and relation interpretation show that method substantially outperforms classical methods.
Embed
Wikipedia Quality
Bu, Fan; Hao, Yu; Zhu, Xiaoyan. (2011). "[[Semantic Relationship Discovery with Wikipedia Structure]]". International Joint Conference on Artificial Intelligence (IJCAI). DOI: 10.5591/978-1-57735-516-8/IJCAI11-297.
English Wikipedia
{{cite journal |last1=Bu |first1=Fan |last2=Hao |first2=Yu |last3=Zhu |first3=Xiaoyan |title=Semantic Relationship Discovery with Wikipedia Structure |date=2011 |doi=10.5591/978-1-57735-516-8/IJCAI11-297 |url=https://wikipediaquality.com/wiki/Semantic_Relationship_Discovery_with_Wikipedia_Structure |journal=International Joint Conference on Artificial Intelligence (IJCAI)}}
HTML
Bu, Fan; Hao, Yu; Zhu, Xiaoyan. (2011). "<a href="https://wikipediaquality.com/wiki/Semantic_Relationship_Discovery_with_Wikipedia_Structure">Semantic Relationship Discovery with Wikipedia Structure</a>". International Joint Conference on Artificial Intelligence (IJCAI). DOI: 10.5591/978-1-57735-516-8/IJCAI11-297.