An interactive semantic knowledge base unifying Wikipedia and HowNet

Authors:
Hongzhi Guo;Qingcai Chen;Lei Cui;Xiaolong Wang
Affiliations:
Dept. of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, P.R. China;Dept. of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, P.R. China;Dept. of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, P.R. China;Dept. of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, P.R. China
Venue:
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Year:
2009

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Abstract

we present an interactive, exoteric semantic knowledge base, which integrates HowNet and the online encyclopedia Wikipedia. The semantic knowledge base mainly builds on items, categories, attributes and relation between. In the constructing process, a mapping relationship is established from HowNet, Wikipedia to the new knowledge base. Different from other online encyclopedias or knowledge dictionaries, the categories in the semantic knowledge base are semantically tagged, and this can be well used in semantic analysis and semantic computing. Currently the knowledge base built in this paper contains more than 200,000 items and 1,000 categories, and these are still increasing every day.