15
Sep
2021
Paper Submission Deadline
01
Nov
2021
Reviewed Paper Submission
01
Dec
2021
Publishing Date

Add to Calendar 09/15/2021 08:00 Europe/Rome AIKE 2021 | Artificial Intelligence & Knowledge Engineering

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. 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.
Topic 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.

United States Of America
CONFERENCE
Code: C39-AIKE-2021
Posting date: 23/01/2021

AIKE 2021 | Artificial Intelligence & Knowledge Engineering


Date
From 01/12/2021 to 03/12/2021
Address
The Hills Hotel, Laguna Hills
Venue
Laguna Hills, California
Country
United States Of America
Aims and Scope

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. 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.
Topic 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.

Review process
The Conference adopts double-blind peer review process
Languages
English
Topics
Artificial Intelligence, Data Management, Knowledge Process, Management, Management Engineering
Organized by
IEEE Computer Society
Congress Fee

Not declared

Book of Proceedings

Not declared

Indexed By
Not declared
Publisher
IEEE Computer Society Press
Enquiries e-mail
aike@uci.edu
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