中文摘要：

[目的/意义]随着大数据技术发展,“Google知识图谱”（knowledge graph）引起广泛关注,由于在中文译名上与图书情报领域中的“科学知识图谱”（Mapping knowledge domain）相似,容易引起误解。[方法/过程]基于知识管理理论,从知识获取、知识组织、知识存储、知识共享和知识创新的角度比较分析,并讨论大数据情景下两类知识图谱在相关领域的应用前景。[结果/结论]分析结果表明,两者之间既有本质的区别又有紧密的联系,在大数据时代,两者在知识创新方面的融合和发展将会带来知识管理领域科学范式的变革。

英文摘要：

[ Purpose/Significance ] With the development of big data technology, ＂Google knowledge graph＂ has caused widespread concern. Since the Chinese translation for ＂knowledge graph＂ is similar to the ＂Mapping knowledge domain＂ in the Library and Information field, so it＇s easy to cause misunderstanding. [ Method/Process] Based on the knowledge management theory, the study compares and analyzes ＂Google knowledge graph＂ and＂ Mapping knowledge domain＂ from the perspectives of the knowledge acquisition, knowledge organization, knowledge storage, knowledge sharing and knowledge innovation, and discusses their application prospect in related fields under the big data background. [ Result/Conclusion] Analysis results show that ＂ Google knowledge graph＂ and ＂Mapping knowledge domain＂ have essential differences in nature but they also have a tight connection. In the era of big data, the integration and development of them in the knowledge innovation aspect will revolutionize the field of knowledge management science paradigm.