A retrospective of knowledge graphs

作者:Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou

摘要

Information on the Internet is fragmented and presented in different data sources, which makes automatic knowledge harvesting and understanding formidable for machines, and even for humans. Knowledge graphs have become prevalent in both of industry and academic circles these years, to be one of the most efficient and effective knowledge integration approaches. Techniques for knowledge graph construction can mine information from either structured, semi-structured, or even unstructured data sources, and finally integrate the information into knowledge, represented in a graph. Furthermore, knowledge graph is able to organize information in an easy-to-maintain, easy-to-understand and easy-to-use manner.

论文关键词:knowledge graph, knowledge base, information extraction, logical reasoning, graph database

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论文官网地址:https://doi.org/10.1007/s11704-016-5228-9