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KEOD 2020 : 12th International Conference on Knowledge Engineering and Ontology Development
KEOD 2020 : 12th International Conference on Knowledge Engineering and Ontology Development

KEOD 2020 : 12th International Conference on Knowledge Engineering and Ontology Development

Budapest, Hungary
Event Date: November 02, 2020 - November 04, 2020
Submission Deadline: May 19, 2020
Notification of Acceptance: July 17, 2020
Camera Ready Version Due: July 31, 2020




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

SCOPE

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. 

CONFERENCE TOPICS

  • Decision Support Systems
  • Natural Language Processing
  • Ontology Engineering
  • Ontology Matching and Alignment
  • Ontology Sharing and Reuse
  • Semantic Web
  • Business Process Management
  • Enterprise Engineering
  • Domain Ontologies
  • Education and Training
  • Applications and Case-Studies
  • Domain Analysis and Modeling
  • Enterprise Ontology
  • Expert Systems
  • Human-Machine Cooperation
  • Integration and Interoperability
  • Knowledge Acquisition
  • Knowledge Engineering
  • Knowledge Representation

IC3K KEYNOTE SPEAKERS

Alexander Smirnov, SPIIRAS, Russian Federation
Manfred Reichert, Ulm University, Germany

PAPER SUBMISSION

Authors 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. 

Only original papers should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarismthoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers that contain any form of plagiarism will be rejected without reviews. 

Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail. 
 

PUBLICATIONS

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support. 
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier). 
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar, Google Scholar and Microsoft Academic.

IMPORTANT DATES

Conference Date: 2 - 4 November, 2020 

Regular Papers

Paper Submission: May 19, 2020 
Authors Notification: July 17, 2020 
Camera Ready and Registration: July 31, 2020 

Position Papers

Paper Submission: July 24, 2020 
Authors Notification: September 2, 2020 
Camera Ready and Registration: September 16, 2020

Workshops

Workshop Proposal: June 9, 2020

Doctoral Consortium

Paper Submission: September 8, 2020
Authors Notification: September 22, 2020
Camera Ready and Registration: September 30, 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

  • Short Name: KEOD 2020
  • Full Name: 12th International Conference on Knowledge Engineering and Ontology Development
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of KEOD 2020
  • Event Type: Conference
  • Website Link: http://www.keod.ic3k.org/
  • Location/Address: Budapest, Hungary


Credits and Sources

[1] KEOD 2020 : 12th International Conference on Knowledge Engineering and Ontology Development


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