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 Bock07
%A Bock, Jürgen
%A Volz, Raphael
%A Topor, Rodney
%B Ontology Matching Workshop (OM2007)
%D 2007
%K answer-set-programming, ontology
%T Ontology Merging using Answer Set Programming and Linguistic Knowledge
%U http://data.semanticweb.org/workshop/om/2007/papers/435
%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{Bock07,
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 = {2011-05-04T16:04:17.000+0200},
author = {Bock, J\"{u}rgen and Volz, Raphael and Topor, Rodney},
biburl = {https://www.bibsonomy.org/bibtex/20b4885cde0178d743d6de03805827526/baisemain},
booktitle = {Ontology Matching Workshop (OM2007)},
citeulike-article-id = {5273782},
citeulike-linkout-0 = {http://data.semanticweb.org/workshop/om/2007/papers/435},
interhash = {0f32f78e24a4cc4a686010e54fb0f98f},
intrahash = {0b4885cde0178d743d6de03805827526},
keywords = {answer-set-programming, ontology},
month = nov,
posted-at = {2009-07-26 19:05:43},
priority = {2},
timestamp = {2011-05-04T16:04:33.000+0200},
title = {{Ontology Merging using Answer Set Programming and Linguistic Knowledge}},
url = {http://data.semanticweb.org/workshop/om/2007/papers/435},
year = 2007
}