Journal Focus

Journal Focus: Journal of Artificial Intelligence and Knowledge Engineering (JAIKE)

The Journal of Artificial Intelligence and Knowledge Engineering (JAIKE) is a leading international publication dedicated to advancing research in Artificial Intelligence (AI) and Knowledge Engineering (KE). It focuses on key areas such as knowledge mining and discovery, knowledge acquisition, knowledge intelligence, knowledge-based engineering (KBE), knowledge-based systems (KBS), knowledge management (KM), smart processes, products, artifacts, the Internet of Things (IoT), and knowledge-driven automation (KDA). Additionally, JAIKE explores the theoretical foundations, architectures, and knowledge infrastructure that support the evolution of AI-driven IoT and Internet technologies.

Scope and Contributions

As a multi-disciplinary, fully refereed international journal, JAIKE publishes high-quality contributions, including:

  • Theoretical and experiential papers that advance AI and KE methodologies

  • Research notes and case studies highlighting novel applications in AI and IoT

  • Critical review papers discussing the state-of-the-art in lifecycle-oriented, knowledge-based product development and emerging technologies

Publication Process and Timelines

To ensure thematic coherence, accepted papers are strategically grouped so that each issue focuses on a select number of key research areas. In addition to publishing archival research, JAIKE upholds a rigorous peer-review process, with authors receiving timely feedback on submissions within a target turnaround time of 3-6 months.

Through scholarly discourse and industry collaboration, JAIKE continues to serve as a vital platform for advancing innovations in AI and Knowledge Engineering.