Ontology Merging using Answer Set Programming and Linguistic Knowledge
J. Bock, R. Volz, and R. Topor. Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea, (November 2007)
Abstract
With the increasing number of ontologies available on the web, the problem of merging ontologies from different sources to interoperate applications becomes important. This paper presents a novel approach for merging of light-weight ontologies based on answer set programming (ASP) and linguistic background knowledge. ASP provides a declarative execution environment for intuitive merging rules. WordNet provides broad linguistic knowledge that is used to identify corresponding concepts. We present a semi-automatic merging algorithm, where users can choose appropriate results from a set of suggestions.
%0 Conference Paper
%1 Bock/2007/Ontology
%A Bock, Jürgen
%A Volz, Raphael
%A Topor, Rodney
%B Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea
%D 2007
%E Shvaiko, Pavel
%E Euzenat, Jérôme
%E Giunchiglia, Fausto
%E He, Bin
%K 2007 answer iswc knowledge merging ontology programming set using workshop_om
%T Ontology Merging using Answer Set Programming and Linguistic Knowledge
%X With the increasing number of ontologies available on the web, the problem of merging ontologies from different sources to interoperate applications becomes important. This paper presents a novel approach for merging of light-weight ontologies based on answer set programming (ASP) and linguistic background knowledge. ASP provides a declarative execution environment for intuitive merging rules. WordNet provides broad linguistic knowledge that is used to identify corresponding concepts. We present a semi-automatic merging algorithm, where users can choose appropriate results from a set of suggestions.
@inproceedings{Bock/2007/Ontology,
abstract = {With the increasing number of ontologies available on the web, the problem of merging ontologies from different sources to interoperate applications becomes important. This paper presents a novel approach for merging of light-weight ontologies based on answer set programming (ASP) and linguistic background knowledge. ASP provides a declarative execution environment for intuitive merging rules. WordNet provides broad linguistic knowledge that is used to identify corresponding concepts. We present a semi-automatic merging algorithm, where users can choose appropriate results from a set of suggestions.},
added-at = {2007-11-07T19:19:06.000+0100},
author = {Bock, Jürgen and Volz, Raphael and Topor, Rodney},
biburl = {https://www.bibsonomy.org/bibtex/2c90a37e9797e90b65940b21fd37acb64/iswc2007},
booktitle = {Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea},
crossref = {http://data.semanticweb.org/workshop/om/2007/proceedings},
editor = {Shvaiko, Pavel and Euzenat, Jérôme and Giunchiglia, Fausto and He, Bin},
interhash = {0f32f78e24a4cc4a686010e54fb0f98f},
intrahash = {c90a37e9797e90b65940b21fd37acb64},
keywords = {2007 answer iswc knowledge merging ontology programming set using workshop_om},
month = {November},
timestamp = {2007-11-07T19:20:54.000+0100},
title = {Ontology Merging using Answer Set Programming and Linguistic Knowledge},
year = 2007
}