Relation extraction from wikipedia articles by entities clustering
|Relation extraction from wikipedia articles by entities clustering|
|Author(s)||Liu S., Ren F.|
|Published in||Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012|
|Keyword(s)||entities clustering, episode, relation extraction (Extra: Category systems, entities clustering, episode, Extraction method, Information redundancies, Relation extraction, Wiki technologies, Wikipedia articles, Cloud computing, Extraction, Knowledge based systems, Clustering algorithms)|
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Relation extraction from wikipedia articles by entities clustering is a 2012 conference paper written in English by Liu S., Ren F. and published in Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012.
Wikipedia is an encyclopedia based on wiki technology. It is multilingual high quality knowledge base. In this work a episode based extraction method are proposed to extract relations from Wikipedia articles. The entities are clustered and labeled. The relation extraction is benefited by the information redundancy provided by the clusters. A strict Wikipedia entities clustering algorithm based on the category system and first sentence of the article is approached. This work required less manual assist. And the relations are abundant. The results are comparable with other works [1, 2].
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