Abstract
Integration of ontologies of information sources and consumers is important for achieving web-based interoperability and thus for the success of the Semantic Web as a whole. The present work describes an approach for eliminating semantic conflicts with the purpose of integrating ontologies of heterogeneous information sources. The paper is focused on elimination of homonymy and finding synonymy in ontologies of learning objects (namely course outlines) and identification of (in)compatibilities between course descriptions. As a proof of concept, ontologies are implemented using the XML-based Rule Markup Language (RuleML), which has been combined with the Web Ontology Language (OWL), a W3C standard, to form the Semantic Web Rule Language (SWRL). This representation in RuleML allows the ontology to be executable, flexibly extensible and platform-independent. The RuleML source representation can also easily be converted to other XML-based languages (such as RDF, OWL and SWRL) as well as incorporated into existing XML-based repositories (such as IEEE LOM and CanLOM) using XSL Transformations (XSLT). The facts and rules of the RuleML-based ontology are used by the OO jDREW reasoning engine to identify semantic homonymy and synonymy between components of course descriptions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ball M (2004) Object-Oriented Java Deductive Reasoning Engine for the Web, Available: http://www.jdrew.org/oojdrew
Biletskiy Y, Hirtle D (2006) Conceptualization of Specifying Learning Objects. WSEAS Transaction on Computers 1/5: 177–185
Biletskiy Y, Boley H, Zhu L (2006) A RuleML-Based Ontology for Interoperation between Learning Objects and Learners. UCFV Research Review 1/2006, Available: http://journals.ucfv.ca/ojs/rr/article-PDFs/biletskiy-boley-zhu.pdf
Biletskiy Y, Vorochek O, Medovoy O (2004) Building Ontologies for Interoperability among Learning Objects and Learners. Lecture Notes in Computer Science, Springer-Verlag, vol. 3029/2004, pp. 977–986
Boley H (2003) Object-Oriented RuleML: User-Level Roles, URI-Grounded Clauses and Order-Sorted Terms. In Schroeder, M. Wagner, G. (Eds.): Rules and Rule Markup Languages for the Semantic Web, Springer-Verlag, Heidelberg, LNCS-2876: 1–16.
Boley H (2004) POSL: An Integrated Positional-Slotted Language for Semantic Web Knowledge, Available: http://www.ruleml.org/submission/ruleml-shortation.html
Firat A, Madnick S, Grosof B (2002) Financial Information Integration in the Presence of Equational Ontological Conflicts. Proceedings of the Workshopon Information Technology and Systems (WITS), Barcelona, Spain, pp 211–216
Goh CH, Madnick SE, Siegel MD (1994) Context interchange: overcoming the challenges of large scale interoperable database systems in a dynamic environ ment. Proceedings of the Third International Conference on Information and Knowledge Management, Gaithersburg, Maryland, USA, pp 337–346
Uschold M, Gruninger M (1996) Ontologies: principles, methods and applications. The Knowledge Engineering Review Research 11/2: 93–136.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, LLC
About this paper
Cite this paper
Biletskiy, Y., Hirtle, D., Vorochek, O. (2006). Toward the Identification and Elimination of Semantic Conflicts for the Integration of RuleML-based Ontologies. In: Koné, M.T., Lemire, D. (eds) Canadian Semantic Web. Semantic Web and Beyond, vol 2. Springer, Boston, MA . https://doi.org/10.1007/978-0-387-34347-1_9
Download citation
DOI: https://doi.org/10.1007/978-0-387-34347-1_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-29815-3
Online ISBN: 978-0-387-34347-1
eBook Packages: Computer ScienceComputer Science (R0)