Journal of Artificial Intelligence and Knowledge Engineering (JAIKE) specifically focuses on Artificial Intelligence (AI), Knowledge mining and discovery, Knowledge acquisition, Knowledge Intelligence, Knowledge-based engineering (KBE), knowledge-based systems (KBS), Knowledge Management (KM), Smart Processes / Products / Artifacts, Internet-Of-Things(IOTs), and knowledge-driven automation (KDA), including their theoretical foundations, architectures, knowledge infrastructure and enabling IOTs and Internet technologies.

The Research in AI and Knowledge Engineering Journal is designed to be a multi-disciplinary, fully refereed international journal that publishes

  • Theoretical and experiential papers, research notes, case studies, and novel aspects of knowledge engineering in AI and IOTs.
  • Critical review papers to discuss the state of the art in today's lifecycle-oriented, knowledge-based era of product development, as well as state-of-the-art research.

Accepted papers are grouped for publication so that individual issues focus on a small number of theme areas. In addition to archival papers, the journal also conducts reviews in a timely fashion and informs authors of decisions with a target turnaround time of 3-6 months.