活动简介

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

组委会

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

征稿信息

重要日期

2021-09-15
初稿截稿日期

征稿范围

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

作者指南

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.

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重要日期
  • 会议日期

    12月01日

    2021

    12月03日

    2021

  • 09月15日 2021

    初稿截稿日期

  • 12月03日 2021

    注册截止日期

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IEEE Computer Society
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