2023 9th International Conference on Knowledge Engineering (ICKE 2023). The conference will be held in Fujisawa (Kanagawa), Japan during March 18-20, 2023, follows successful ICKE in Singapore (2015), Los. Angeles (USA, 2016), Tokyo (Japan, 2017), Osaka (Japan, 2018), Aizu (Japan, 2019), Okayama (Japan, 2021) and Matsue (Japan, 2022), etc. It is co-sponsored by Shonan Institute of Technology (Japan), technically supported by Okayama University (Japan), etc.
The aim of ICKE is to present the latest research and results of scientists (preferred students, PhD Students, and post-doc scientist) related to Knowledge Engineering topics. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up to date scientific field.
The focus of the ICKE is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators and students from all over the world. The organizing committee of conference is pleased to invite prospective authors to submit their original manuscripts to ICKE.
2023 9th International Conference on Knowledge Engineering (ICKE 2023) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Knowledge Engineering. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Specific topics of interest include, but are not limited to, the following:
(1) AI programming ;
(2) Applications and case-studies ;
(3) Context Analysis and Modeling;
(4) Domain Analysis and Modeling ;
(5) Decision Support Systems ;
(6) Education and Training Issues ;
(7) Enterprise Ontology;
(8) Expert Systems ;
(9) Human-Machine Cooperation;
(10) Information Integration;
(11) Intelligent Problem Solving;
(12) Knowledge Acquisition;
(13) Knowledge Representation ;
(14) Knowledge reengineering ;
(15) Metamodelling ;
(16) Natural language processing;
(17) Ontology Engineering;
(18) Ontology matching and alignment ;
(19) Ontology sharing and reuse ;
(20) Process knowledge and semantic services
(21) Semantic Web ;
