About |
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. Ontology Development (OD) aims at building reusable semantic structures that can be informal vocabularies, catalogs, glossaries as well as more complex finite formal structures specifying types of entities and types of relationships relevant within a certain domain. Ontologies have been gaining interest and acceptance in computational audiences. For example, formal ontologies are increasingly used as one of the main sources of software development and methodologies for this end can be adapted to include ontology development. A wide range of applications is emerging, especially given the current web emphasis, including library science, ontology-enhanced search, e-commerce and business process design. A particular increasing interest is arising in the development of ontologies and/or methods in the fields of enterprise engineering and enterprise architecture as it has been proven that most problems in software development occur due to incomplete specifications of an enterprise's needs, leading to a huge lack of success in software projects. It is then natural that one should strive to more fully capture and specify the enterprise knowledge of itself and research contributions in this area are especially welcome. KEOD aims at becoming a major meeting point for researchers and practitioners interested in the study and development of methodologies and technologies for Knowledge Engineering and Ontology Development. |
Call for Papers |
SCOPEKnowledge 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. CONFERENCE TOPICS
IC3K KEYNOTE SPEAKERSAlexander Smirnov, SPIIRAS, Russian Federation PAPER SUBMISSIONAuthors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity. PUBLICATIONSAll accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support. IMPORTANT DATES Conference Date: 2 - 4 November, 2020 Paper Submission: May 19, 2020 Paper Submission: July 24, 2020 Workshops Workshop Proposal: June 9, 2020 Doctoral Consortium Paper Submission: September 8, 2020 Special Sessions Special Session Proposal: June 9, 2020 Tutorials Tutorial Proposal: September 22, 2020 Demos Demo Proposal: September 22, 2020 Panels Panel Proposal: September 22, 2020 |
Summary |
KEOD 2020 : 12th International Conference on Knowledge Engineering and Ontology Development will take place in Budapest, Hungary. It’s a 3 days event starting on Nov 02, 2020 (Monday) and will be winded up on Nov 04, 2020 (Wednesday). KEOD 2020 falls under the following areas: SEMANTIC WEB, KNOWLEDGE ENGINEERING, ONTOLOGY, COMPUTER SCIENCE, etc. Submissions for this Conference can be made by May 19, 2020. Authors can expect the result of submission by Jul 17, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 31, 2020 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the KEOD 2020
|
Credits and Sources |
[1] KEOD 2020 : 12th International Conference on Knowledge Engineering and Ontology Development |