Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems. The huge potential of applying AI for problem solving represents an exciting future that business objectives can be achieved much more effectively. In addition, business-business, business-customer, and customer-customer may be interconnected in a revolutionary way to stimulate tremendous amount of interesting activities. A core of AI is Knowledge Engineering that addresses the acquistion, understanding, description, storage, integration, processing, control, and use of knowledge, among others.

The fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2021), is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of Artificial Intelligence and Knowledge Engineering, as well as to identify the emerging topics and define the future of Artificial Intelligence and Knowledge Engineering.

Sponsor Type:1


Advisory Committee

Farokh Bastani, University of Texas, Dallas, USA

Bharat Bhargava, Purdue University, USA 

W.T. Chen, National Tsing Hua University, Taiwan

Ophir Frieder, Georgetown University, USA

Hiroyuki Kitagawa, Tsukuba University, Japan

Sang-goo Lee, Seoul National University, Korea

Yunmook Nah, Dankook University, Korea

Carlo Zaniolo, UCLA, USA

General Co-Chairs

David Ostrowski, Ford, USA

Giovanni Pilato, Italian National Research Council, Italy

Phillip Sheu, University of California, Irvine, USA

Jeffrey Tsai, Asia University, Taiwan

Benjamin Wah, Chinese University of Hongkong

Program Co-Chairs

Ajay Bansal, Arizona State University, USA

Seong-je Cho, Dankook University, Korea

Alexander Wachtel, Karlsruhe Institute of Technology, Germany

Call for paper

Important date

Draft paper submission deadline

Submission Topics


Syntactic and semantic aspects of knowledge

Knowledge management

Distributed knowledge and processing

Real-time knowledge and processing

Hardware and software of knowledge systems

Knowledge understanding and modelling

Knowledge discovery

Query and optimization

Integrity, security, and fault tolerance

Machine and deep learning of knowledge

Knowledge integration

"Big Knowledge" and reduction

Performance evaluation

Communicating knowledge and agents

Multi-modal interactions



The conference proceedings will be published by the IEEE Computer Society Press. Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals.

Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Dec 01



    Dec 03


  • Sep 15 2021

    Draft paper submission deadline

Sponsored By
IEEE Computer Society
Contact Information
Scan the QR code×