KEOD is part of IC3K, the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Registration to KEOD allows free access to all other IC3K conferences.
IC3K 2020 will be held in conjunction with WEBIST 2020, PECCS 2020, IJCCI 2020 and IN4PL 2020.
Registration to IC3K allows free access to the WEBIST, PECCS, IJCCI and IN4PL conferences (as a non-speaker).
Knowledge Engineering (KE) refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems. KE is a multidisciplinary field, bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems and information systems. From the software development point of view, KE uses principles that are strongly related to software engineering. KE is also related to logic (both in mathematics and philosophy domains) and also strongly related with cognitive and social sciences and socio-cognitive engineering, where knowledge is considered to be produced by humans and structured according to our understanding of how human reasoning and logic works. Currently, KE is mostly related with the construction of shared conceptual frameworks, often designated as ontologies, thus the relevance given to this term in our conference.
Joaquim Filipe, Polytechnic Institute of Setubal / INSTICC, Portugal
David Aveiro, Exact Sciences and Engineering Centre, University of Madeira / Madeira-ITI, PortugalJan Dietz, Computer Science, Delft University of Technology, Netherlands
Alexander Smirnov, SPC RAS, Russian FederationManfred Reichert, Institute of Databases and Information Systems, Ulm University, GermanyFrank van Harmelen, The Hybrid Intelligence Center & Vrije Universiteit Amsterdam, NetherlandsStefan Decker, RWTH Aachen University, Germany
Publications:
It is planned to publish a short list of revised and
extended versions of presented papers with
Springer in a CCIS Series book
Proceedings will be submitted for evaluation for indexing by: