BibSonomy :: publication ::

tag user group author concept BibTeX key search:all search:eswc2008

The blue social bookmark and publication sharing system.

entry of eswc2008:

(0)

This publication has not been reviewed yet.

rating distribution

average user rating

The average rating is computed over all reviews. However, some of them may be invisible to you due to the visibility setting chosen by the reviewers.

(0.0 of 5.0 based on 0 reviews)

Mapping Validation by Probabilistic Reasoning

by: Silvana Castano, Alfio Ferrara, Davide Lorusso, Tobias Henrik Näth, and Ralf Moeller

In: Proceedings of the 5th European Semantic Web Conference Berlin, Heidelberg: Springer Verlag (June 2008) .

Resources (URL, PDF, PS...)

URL:	http://data.semanticweb.org/conference/eswc/2008/papers/90

In the semantic web environment, where two or more independent ontologies can be used in order to describe knowledge and data, ontologies have to be aligned by defining mappings among the elements of one ontology and the elements of another ontology. Very often, mappings are not derived by the semantics of the ontologies that are compared, but, rather, by an evaluation of the similarity of the terminology used in the two ontologies or of their syntactic structure. Moreover, ontology mappings can be inaccurate, because ontology matching tools derive such mappings from inaccurate terminology or even because they are not specifically tailored for the domain at hand. In this paper, we propose a new mapping validation approach for interpreting similarity-based mappings as semantic relations, by coping also with inaccuracy situations. The idea is to see two independent ontologies as a unique distributed knowledge base and to assume a semantic interpretation of ontology mappings as probabilistic and hypothetical relations among ontology elements. We present and use a probabilistic reasoning tool in order to validate mappings and to possibly infer new relations among the ontologies.

BibTeX record

@inproceedings{castano2008mapping,
  abstract = {In the semantic web environment, where two or more independent ontologies can be used in order to describe knowledge and data, ontologies have to be aligned by defining mappings among the elements of one ontology and the elements of another ontology. Very often, mappings are not derived by the semantics of the ontologies that are compared, but, rather, by an evaluation of the similarity of the terminology used in the two ontologies or of their syntactic structure. Moreover, ontology mappings can be inaccurate, because ontology matching tools derive such mappings from inaccurate terminology or even because they are not specifically tailored for the domain at hand. In this paper, we propose a new mapping validation approach for interpreting similarity-based mappings as semantic relations, by coping also with inaccuracy situations. The idea is to see two independent ontologies as a unique distributed knowledge base and to assume a semantic interpretation of ontology mappings as probabilistic and hypothetical relations among ontology elements. We present and use a probabilistic reasoning tool in order to validate mappings and to possibly infer new relations among the ontologies.},
  added-at = {2008-05-28T14:49:55.000+0200},
  address = {Berlin, Heidelberg},
  author = {Castano, Silvana and Ferrara, Alfio and Lorusso, Davide and Näth, Tobias Henrik and Moeller, Ralf},
  biburl = {http://www.bibsonomy.org/bibtex/22042ef8759afd27e1d86a87c67e13e4f/eswc2008},
  booktitle = {Proceedings of the 5th European Semantic Web Conference},
  editor = {Hauswirth, Manfred and Koubarakis, Manolis and Bechhofer, Sean},
  interhash = {e340975182f17a894a325df85591b757},
  intrahash = {2042ef8759afd27e1d86a87c67e13e4f},
  keywords = {matching mapping probabilistic logics description ontology reasoning formal-languages-1},
  month = {June},
  publisher = {Springer Verlag},
  series = {LNCS},
  timestamp = {2008-05-28T14:49:55.000+0200},
  title = {Mapping Validation by Probabilistic Reasoning},
  url = {http://data.semanticweb.org/conference/eswc/2008/papers/90},
  year = 2008
}

Endnote record

%0 Conference Paper
%1 castano2008mapping
%A Castano, Silvana
%A Ferrara, Alfio
%A Lorusso, Davide
%A Näth, Tobias Henrik
%A Moeller, Ralf
%B Proceedings of the 5th European Semantic Web Conference
%C Berlin, Heidelberg
%D 2008
%E Hauswirth, Manfred
%E Koubarakis, Manolis
%E Bechhofer, Sean
%I Springer Verlag
%K 
%T Mapping Validation by Probabilistic Reasoning
%U http://data.semanticweb.org/conference/eswc/2008/papers/90
%X In the semantic web environment, where two or more independent ontologies can be used in order to describe knowledge and data, ontologies have to be aligned by defining mappings among the elements of one ontology and the elements of another ontology. Very often, mappings are not derived by the semantics of the ontologies that are compared, but, rather, by an evaluation of the similarity of the terminology used in the two ontologies or of their syntactic structure. Moreover, ontology mappings can be inaccurate, because ontology matching tools derive such mappings from inaccurate terminology or even because they are not specifically tailored for the domain at hand. In this paper, we propose a new mapping validation approach for interpreting similarity-based mappings as semantic relations, by coping also with inaccuracy situations. The idea is to see two independent ontologies as a unique distributed knowledge base and to assume a semantic interpretation of ontology mappings as probabilistic and hypothetical relations among ontology elements. We present and use a probabilistic reasoning tool in order to validate mappings and to possibly infer new relations among the ontologies.

BibSonomy :: publication ::

Mapping Validation by Probabilistic Reasoning

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record