Knowledge Systems Laboratory
Abstract: Web Explanations for Semantic Heterogeneity Discovery
Managing semantic heterogeneity is a complex task. One
solution involves matching like terms to each other.
We view Match as an operator that takes two graph-like structures (e.g.,
concept hierarchies or ontologies) and
returns a mapping between the nodes of the graphs that
correspond semantically to each other. State of the art
matching systems (e.g., COMA, Cupid) perform well for many real world
applications. However, matching systems may produce mappings that may not be intuitively obvious to human users.
Moreover, there are cases where matching systems do not produce a useful mapping. In order for users to trust the mappings (and thus use them),
they need to understand them. Also, if a system does not provide a
mapping or provides a partial mapping, users need to understand answers
so that they can understand either why a mapping was not produced.
In this paper we describe how matching systems can explain their
answers using the Inference Web (IW) infrastructure.
There, S-Match, a semantic matching system, produces proofs for mappings
it has discovered. Using the IW browser, users may visualize different
explanations including provenance information, the
derivation path of the mappings, etc.
Pavel Shvaiko, Fausto Giunchiglia, Paulo Pinheiro da Silva and Deborah L. McGuinness. Web Explanations for Semantic Heterogeneity Discovery. In Proceedings of the 2nd European Semantic Web Conference (ESWC 2005), Heraklion, Greece, May 29 to June 1, 2005 Springer, 2005.
2nd Annual European Semantic Web Conference
version is available.
Selected Papers of Deborah L. McGuinness.
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