December 7-8, 2021, Auckland, New Zealand

December 7-8, 2021,  Auckland

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 Auckland, New Zealand 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.

Big Knowledge deals with fragmented knowledge from heterogeneous, autonomous information sources for complex and evolving relationships, in addition to domain expertise. The IEEE International Conference on Big Knowledge (ICBK), entitled ICKG in 2020 for one year, provides a premier international forum for presentation of original research results in Big Knowledge opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of Big Knowledge, including algorithms, software, platforms, and applications for knowledge graph construction, maintenance and inference. ICBK 2021 draws researchers and application developers from a wide range of Big Knowledge related areas such as knowledge engineering, knowledge graph systems, 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 Big Knowledge problems, the conference seeks to continuously advance the state-of-the-art in Big Knowledge.