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
TOPICS OF INTEREST:
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
Applications
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.
12月01日
2021
12月03日
2021
初稿截稿日期
注册截止日期
2022年09月19日 美国 Laguna Hills
2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering2019年04月24日 美国
2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering2018年09月26日 美国
2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering
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