International Journal of Artificial Intelligence and Knowledge Engineering (AIKE)

 

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.

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Topics of interest include, but are not limited to, the following:

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• 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 interaction

• AI technologies including Search, planning, reasoning, knowledge representation, natural language processing, robotics and perception

• Knowledge-based applications

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