Content-Structural Relation Inference in Knowledge Base

Relation inference between concepts in knowledge base has been extensively studied in recent years. Previous methods mostly apply the relations in the knowledge base, without fully utilizing the contents, i. e. , the attributes of concepts in knowledge base. In this paper, we propose a contentstructural relation inference method (CSRI) which integrates the content and structural information between concepts for relation inference. Experiments on data sets show that CSRI obtains 15% improvement compared with the state-of-theart methods.

Authors

• Zeya Zhao
• Yantao Jia
• Yuanzhuo Wang Institute of Computing Technology, Chinese Academy of Sciences School of Computer Science and Technology, University of Chinese Academy of Sciences Big Data Academy, Zhongke

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