The 7th International Conference on Knowledge Engineering and Applications will be held in Yokohama, Japan on June 10-12, 2022 as workshop of ICFET 2022. The conference is technically supported by Illinois State University, USA , Louisiana Tech University, USA, and Tokyo University of Technology, Japan.
ICKEA is devoted to present the techniques and skills used for knowledgebase systems and intelligent applications development, including all areas of data architecture, data integration and data exchange, data mining, knowledge acquisition, representation, dissemination, codification and discovery techniques, and their technologies. It also focuses on their applications and case studies in industrial, medical and business sectors. In addition, it provides opportunities for delegates from all over the world face to face, to establish business or research relations, and to find global partners for future collaboration.
Proceedings
The accepted papers of ICKEA2022 as the workshop of ICFET will be included in a special chapter of ICFET conference proceedings to be published with International Conference Proceedings, which will be submitted for indexing in Ei Compendex, Scopus, IET etc. major databases.
The topics are including but not limited as below:
Knowledge Technology and Applications
Advanced Knowledge Technologies
Knowledge Relationship Discovery
Knowledge Representation and Reasoning
Knowledge Services
Knowledge Visualization
Learning organization & organizational learning
Metadata and structured documents
Ontology Engineering and Technology
Ontology matching and alignment
Ontology sharing and reuse
Organizational memories
Organizational semiotics
Process knowledge and semantic services
Semantic Web and Ontology
Social networks and the psychological dimension
Studies, metrics & benchmarks
Tools and technology for knowledge management
e-Learning, e-training and executive training
Decision support systems and intelligent systems Human-Machine Interaction
Impact measurement of knowledge management
Innovative Approaches to Knowledge Management
Intelligent information systems
Intelligent multi-agent systems
Intelligent problem solving
Interoperability
K-Economy, k-community and k-enterprise
Knowledge acquisition
Knowledge Management and Projects
Knowledge Management strategies and implementations
Knowledge Reengineering
Business intelligence & Customer Relationship Management
Communication, collaboration and information sharing
Content management & digital rights management
Context modeling and management
Digital libraries, Archives and Repositories
Domain analysis and modeling
e-Business and interoperability issues
Each paper should have no less than 8 pages but one regular registration covers 10 pages, in ACM single-column format.