| |||||||||||||||
ICKEA 2022 : 7th International Conference on Knowledge Engineering and Applications | |||||||||||||||
Link: http://www.ickea.org/ | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
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. |
|