Quality of an ontology as a dynamic optimisation problem

Michael Cochez, Vagan Terziyan

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

The Semantic Web is a proposal from the World Wide Web Consortium aimed at solving problems like data integration and application interoperability. To reach these goals several languages for the representation of semantic data have been proposed. One of the essential concepts behind semantic data is that the data is according to a certain ontology. However, the goals of the semantic web seem challenged because it seems essential for its working that ontologies are agreed upon and shared. This work-in-progress paper describes a first step to solving these problems. When an ontology is missing or only partially known a system might try to make an approximation of the missing part of the ontology. The quality of this estimated ontology will depend on the context of the application. This paper proposes the solving of a dynamic multi-objective and context sensitive optimisation problem as a way to evalute the quality of the ontology.

Original languageEnglish
Title of host publication8th International Conference on ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer, ICTERI 2012
Pages249-256
Number of pages8
Volume848
Publication statusPublished - 1 Jan 2012
Externally publishedYes
Event8th International Conference on ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer, ICTERI 2012 - Kherson, Ukraine
Duration: 6 Jun 201210 Jun 2012

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
ISSN (Print)1613-0073

Conference

Conference8th International Conference on ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer, ICTERI 2012
CountryUkraine
CityKherson
Period6/06/1210/06/12

Keywords

  • Contextual optimisation
  • Ontology features
  • Ontology quality
  • Semantic Web

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