Web Explanations for Semantic Heterogeneity Discovery

From Tetherless World Wiki

Jump to: navigation, search

Citation: Pavel Shvaiko and Fausto Giunchiglia and Paulo Pinheiro da Silva and Deborah L. McGuinness. (2004) Web Explanations for Semantic Heterogeneity Discovery. In Proceedings of the 2nd European Semantic Web Conference (ESWC 2005), 2004.

Publication inproceedings ( Edit )
type InProceedings
bibtype inproceedings
Bibtex basics
author Pavel Shvaiko and Fausto Giunchiglia and Paulo Pinheiro da Silva and Deborah L. McGuinness
title Web Explanations for Semantic Heterogeneity Discovery
booktitle Proceedings of the 2nd European Semantic Web Conference (ESWC 2005)
year 2004
Bibtex more
note pp 303-317
Access Paper
abstract 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 or why only a partial answer was 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.

KSL Technical Report ID: KSL-04-02
Facts about Web Explanations for Semantic Heterogeneity DiscoveryRDF feed
Abstract Managing semantic heterogeneity is a compl 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 or why only a partial answer was 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. the derivation path of the mappings, etc.
Author Pavel Shvaiko and Fausto Giunchiglia and Paulo Pinheiro da Silva and Deborah L. McGuinness  +
Bibtype inproceedings  +
Booktitle Proceedings of the 2nd European Semantic Web Conference (ESWC 2005)  +
Has author Pavel Shvaiko and Fausto Giunchiglia and Paulo Pinheiro da Silva and Deborah L. McGuinness  +
Has identifier KSL-04-02  +
Has publishing details 2004  +
Has title Web Explanations for Semantic Heterogeneity Discovery  +
Has where published Proceedings of the 2nd European Semantic Web Conference (ESWC 2005)  +
Has year 2004  +
Ksl tr id KSL-04-02  +
Note pp 303-317
Process note NO  +
Title Web Explanations for Semantic Heterogeneity Discovery  +
Year 2004  +
Personal tools