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PowerMap: Mapping the Real Semantic Web on the Fly
Vanessa Lopez, Marta Sabou, and Enrico Motta
Knowledge Media Institute (KMi), The Open University., Walton Hall, Milton Keynes, MK7 6AA, United Kingdomv.lopez@open.ac.uk
r.m.sabou@open.ac.uk
e.motta@open.ac.uk
Abstract. Ontology mapping plays an important role in bridging the semantic gap between distributed and heterogeneous data sources. As the Semantic Web slowly becomes real and the amount of online semantic data increases, a new generation of tools is developed that automatically find and integrate this data. Unlike in the case of earlier tools where mapping has been performed at the design time of the tool, these new tools require mapping techniques that can be performed at run time. The contribution of this paper is twofold. First, we investigate the general requirements for run time mapping techniques. Second, we describe our PowerMap mapping algorithm that was designed to be used at run-time by an ontology based question answering tool.
Keywords: Semantic Web, question answering, heterogeneity, and ontology mapping.
LNCS 4273, p. 414 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2006