By Ahmed Alasoud, Volker Haarslev (auth.), Martine Collard (eds.)
This ebook constitutes the refereed post-proceedings of the 1st and moment VLDB Workshop Ontologies-based suggestions for DataBases and data structures, held in Trondheim, Norway, September 2-3, 2005 and Seoul, Korea, September eleven, 2006.
The subject matters comprise ontology-based interoperability and schema matching, administration of ontological bases and hyperlinks among ontologogies and information.
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Additional resources for Ontologies-Based Databases and Information Systems: First and Second VLDB Workshops, ODBIS 2005/2006 Trondheim, Norway, September 2-3, 2005 Seoul, Korea, September 11, 2006 Revised Papers
Sample text
Besides, the COIN ontology also includes attribute as a binary relationship between a pair of concepts. Attributes are also called roles, and correspondingly attribute names are called role names. For example, price can be the hasPrice attribute of product. Conversely, product can be the priceOf attribute of price. To capture the subtle differences in meaning, the COIN lightweight ontology introduces modifier as a special kind of attribute. The values of modifiers are specified as context descriptions outside the ontology.
Similarity flooding: A versatile graph matching algorithm. In: Proceedings of the International Conference on Data Engineering (ICDE), pp. 117–128 (2002) 6. : A Classification of Schema-based Matching Approaches. , van Harmelen, F. ) ISWC 2004. LNCS, vol. 3298. Springer, Heidelberg (2004) 7. Fellbaum, C. ): WordNet - An Electronic Lexical Database. The MIT Press, Cambridge (1999) 8. : Rondo: A Programming Platform for Model Management. In: Proc. ACM SIGMOD 2003, San Diego (June 2003) 9. : Generic Schema Matching Using Cupid.
To resolve semantic conflicts relatively to evolutive domain ontologies following databases evolution according to the dialogue between agents, taking care of scalability issues, we propose a multi-agent system. These interaction protocols allowing ontologies evolution are currently implemented by using Java and the JADE (Java Agent DEvelopment framework) platform. Keywords: Cooperation of heterogeneous information systems, Ontology elicitation from databases, Ontology evolution. 1 Introduction The growth and diversity of automated information systems in organizations make the cooperation of information from heterogeneous databases [1], [2] and/or knowledge bases necessary.