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Issue No.06 - November/December (2008 vol.23)
pp: 72-85
Horst Kargl , Vienna University of Technology
Manuel Wimmer , Vienna University of Technology
Colm Conroy , Trinity College Dublin
Declan O'Sullivan , Trinity College Dublin
David Lewis , Trinity College Dublin
Rob Brennan , Trinity College Dublin
José Ángel Ramos-Gargantilla , Universidad Politécnica de Madrid
Asunción Gómez-Pérez , Universidad Politécnica de Madrid
Monika Lanzenberger , Vienna University of Technology
Francky Trichet , University of Nantes
Jérôme Euzenat , INRIA Grenoble Rhone-Alpes and Laboratoire d'Informatique de Grenoble
Axel Polleres , National Unviersity of Ireland, Galway
Fran Scharffe , Semantic Technology Institute
Konstantinos Kotis , University of the Aegean
ABSTRACT
Ontologies offer shared vocabularies that are key to agent cooperation and knowledge systems integration as well as fundamental to the Semantic Web. As the number of ontologies increases, so does the need for new tools and techniques to establish agreement between different knowledge representatuions. Six essays based on papers accepted for the First Workshop on Ontology Alignment and Visualization (OnAV 2008) exemplify some of the ways researchers are extending the state of the art in algorithms that can establish correspondences between different but related onologies.
INDEX TERMS
knowledge engineering, ontologies, ontology mapping, sematic web
CITATION
Jennifer Sampson, Horst Kargl, Manuel Wimmer, Colm Conroy, Declan O'Sullivan, David Lewis, Rob Brennan, José Ángel Ramos-Gargantilla, Asunción Gómez-Pérez, Monika Lanzenberger, Francky Trichet, Jérôme Euzenat, Axel Polleres, Fran Scharffe, Konstantinos Kotis, "Making Ontologies Talk: Knowledge Interoperability in the Semantic Web", IEEE Intelligent Systems, vol.23, no. 6, pp. 72-85, November/December 2008, doi:10.1109/MIS.2008.108
REFERENCES
1. S. Staab and A. Maedche, Axioms Are Objects Too: Ontology Engineering beyond the Modeling of Concepts and Relations, research report 399, Inst. AIFB, Univ. Karlsruhe, 2000.
2. F. Fürst, M. Leclère, and F. Trichet, "Operationalizing Domain Ontologies: A Method and a Tool," Proc. 16th European Conf. Artificial Intelligence (ECAI 04), IOS Press, 2004, pp. 318–322.
3. J. Sowa, Conceptual Structures: Information Processing in Mind and Machine, Addison-Wesley, 1984.
4. F. Fürst and F. Trichet, "Reasoning on the Semantic Web Needs to Reason Both on Ontology-Based Assertions and on Ontologies Themselves," Proc. Int'l Workshop Reasoning on the Web (RoW 06), 2006; www.aifb.uni-karlsruhe.de/WBS/phiRoW06.
5. A. Gomez-Perez, M. Fernandez-Lopez, and O. Corcho, Ontological Engineering, Springer, 2003.
6. F. Fürst and F. Trichet, "Axiom-Based Ontology Matching," to be published in Expert Systems: J. Knowledge Eng., vol. 25, no. 2, 2008.
7. S.M. Falconer, N.F. Noy, and M. Storey, "Towards Understanding the Needs of Cognitive Support for Ontology Mapping," Proc. Int'l Workshop Ontology Matching (OM 06), CEUR-WS, vol. 225, 2006; http:/om2006.ontologymatching.org.
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