August 9-11, 2020 in Nanjing

The safety and well-being of all conference participants is our priority. We closely monitor the current COVID-19 situation. Depending on the situation, we will have the conference either as planned in Nanjing, China or as an online event. In any case, all deadlines and the conference dates remain the same. The Program Chairs and other organizers will post more information as soon as possible.

Knowledge Graph deals with fragmented knowledge from heterogeneous, autonomous information sources for complex and evolving relationships, in addition to domain expertise. The IEEE International Conference on Knowledge Graph (ICKG), previously entitled ICBK until 2019, provides a premier international forum for presentation of original research results in Knowledge Graph opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Knowledge Graph, including algorithms, software, platforms, and applications for knowledge graph construction, maintainence, inference and applications. ICKG 2020 draws researchers and application developers from a wide range of Knowledge Graph related areas such as knowledge engineering, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web. By promoting novel, high quality research findings, and innovative solutions to challenging Knowledge Graph problems, the conference seeks to continuously advance the state-of-the-art in Knowledge Graph.