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1Euzenat, J. ; Bach, T.Le ; Barrasa, J. ; Bouquet, P. ; Bo, J.De ; Dieng, R. ; Ehrig, M. ; Hauswirth, M. ; Jarrar, M. ; Lara, R. ; Maynard, D. ; Napoli, A. ; Stamou, G. ; Stuckenschmidt, H. ; Shvaiko, P. ; Tessaris, S. ; Acker, S. Van ; Zaihrayeu, I.: State of the art on ontology alignment.
Abstract: In this document we provide an overall view of the state of the art in ontology alignment. It is organised as a description of the need for ontology alignment, a presentation of the techniques currently in use for ontology alignment and a presentation of existing systems. The state of the art is not restricted to any discipline and consider as some form of ontology alignment the work made on schema matching within the database area for instance. Heterogeneity problems on the semantic web can be solved, for some of them, by aligning heterogeneous ontologies. This is illustrated through a number of use cases of ontology alignment. Aligning ontologies consists of providing the corresponding entities in these ontologies. This process is precisely defined in deliverable D2.2.1. The current deliverable presents the many techniques currently used for implementing this process. These techniques are classified along the many features that can be found in ontologies (labels, structures, instances, semantics). They resort to many different disciplines such as statistics, machine learning or data analysis. The alignment itself is obtained by combining these techniques towards a particular goal (obtaining an alignment with particular features, optimising some criterion). Several combination techniques are also presented. Finally, these techniques have been experimented in various systems for ontology alignment or schema matching. Several such systems are presented briefly in the last section and characterized by the above techniques they rely on. The conclusion is that many techniques are available for achieving ontology alignment and many systems have been developed based on these techniques. However, few comparisons and few integration is actually provided by these implementations. This deliverable serves as a basis for considering further action along these two lines. It provide a first inventory of what should be evaluated and suggests what evaluation criterion can be used.
Inhalt: This document is part of a research project funded by the IST Programme of the Commission of the European Communities as project number IST-2004-507482.
Themenfeld: Semantische Interoperabilität
2Corby, O. ; Dieng, R. ; Hébért, C.: ¬A conceptual graph model for W3C resource description framework.
In: Conceptual structures: logical, linguistic, and computational issues. 8th International Conference on Conceptual Structures, ICCS 2000, Darmstadt, Germany, August 14-18, 2000. Ed.: B. Ganter et al. Berlin : Springer, 2000. S.468-482.
(Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence)
Abstract: With the aim of building a "Semantic Web", the content of the documents must be explicitly represented through metadata in order to enable contents-guided search. Our approach is to exploit a standard language (RDF, recommended by W3C) for expressing such metadata and to interpret these metadata in conceptual graphs (CG) in order to exploit querying and inferencing capabilities enabled by CG formalism. The paper presents our mapping of RDF into CG and its interest in the context of the semantic Web