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IEEE AIKE 2019 : IEEE International Conference on Artificial Intelligence and Knowledge Engineering

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Link: http://www.ieee-aike.org/2019/
 
When Jun 5, 2019 - Jun 7, 2019
Where Cagliari, Italy
Abstract Registration Due Feb 15, 2019
Submission Deadline Mar 3, 2019
Notification Due Apr 15, 2019
Final Version Due Apr 22, 2019
Categories    machine learning   AI   databases   semantic web
 

Call For Papers

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 2019 IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2019), 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.

TOPICS OF INTEREST​​ (non exaustive):
- 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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