Domain ontologies very rarely model verbs as relations holding between
concepts. However, the role of the verb as a central connecting element
between concepts is undeniable. Verbs specify the interaction between
the participants of some action or event by expressing relations
between them. In parallel, it can be argued from an ontology engineering
point of view that verbs express a relation between two classes that
specify domain and range. The work described here is concerned with
relation extraction for ontology extension along these lines. We
describe a system (RelExt) that is capable of automatically identifying
highly relevant triples (pairs of concepts connected by a relation)
over concepts from an existing ontology. RelExt works by extracting
relevant verbs and their grammatical arguments (i.e. terms) from
a domain-specific text collection and computing corresponding relations
through a combination of linguistic and statistical processing. The
paper includes a detailed description of the system architecture
and evaluation results on a constructed benchmark. RelExt has been
developed in the context of the SmartWeb project, which aims at providing
intelligent information services via mobile broadband devices on
the FIFA World Cup that will be hosted in Germany in 2006. Such services
include location based navigational information as well as question
answering in the football domain.
%0 Book Section
%1 Schutz2005
%A Schutz, Alexander
%A Buitelaar, Paul
%B Proceedings of the 4th International Semantic Web Conference (ISWC
2005)
%C Galway, Ireland
%D 2005
%K ontology ontology-linktype relation-extraction
%P 593--606
%R http://dx.doi.org/10.1007/11574620\_43
%T RelExt: A Tool for Relation Extraction from Text in Ontology Extension
%U http://dx.doi.org/10.1007/11574620\_43
%X Domain ontologies very rarely model verbs as relations holding between
concepts. However, the role of the verb as a central connecting element
between concepts is undeniable. Verbs specify the interaction between
the participants of some action or event by expressing relations
between them. In parallel, it can be argued from an ontology engineering
point of view that verbs express a relation between two classes that
specify domain and range. The work described here is concerned with
relation extraction for ontology extension along these lines. We
describe a system (RelExt) that is capable of automatically identifying
highly relevant triples (pairs of concepts connected by a relation)
over concepts from an existing ontology. RelExt works by extracting
relevant verbs and their grammatical arguments (i.e. terms) from
a domain-specific text collection and computing corresponding relations
through a combination of linguistic and statistical processing. The
paper includes a detailed description of the system architecture
and evaluation results on a constructed benchmark. RelExt has been
developed in the context of the SmartWeb project, which aims at providing
intelligent information services via mobile broadband devices on
the FIFA World Cup that will be hosted in Germany in 2006. Such services
include location based navigational information as well as question
answering in the football domain.
@incollection{Schutz2005,
abstract = {Domain ontologies very rarely model verbs as relations holding between
concepts. However, the role of the verb as a central connecting element
between concepts is undeniable. Verbs specify the interaction between
the participants of some action or event by expressing relations
between them. In parallel, it can be argued from an ontology engineering
point of view that verbs express a relation between two classes that
specify domain and range. The work described here is concerned with
relation extraction for ontology extension along these lines. We
describe a system (RelExt) that is capable of automatically identifying
highly relevant triples (pairs of concepts connected by a relation)
over concepts from an existing ontology. RelExt works by extracting
relevant verbs and their grammatical arguments (i.e. terms) from
a domain-specific text collection and computing corresponding relations
through a combination of linguistic and statistical processing. The
paper includes a detailed description of the system architecture
and evaluation results on a constructed benchmark. RelExt has been
developed in the context of the SmartWeb project, which aims at providing
intelligent information services via mobile broadband devices on
the FIFA World Cup that will be hosted in Germany in 2006. Such services
include location based navigational information as well as question
answering in the football domain.},
added-at = {2009-10-23T08:37:47.000+0200},
address = {Galway, Ireland},
author = {Schutz, Alexander and Buitelaar, Paul},
biburl = {https://www.bibsonomy.org/bibtex/2dd5f346b65cd3fad0d215df39c69cc1b/albert.weichselbraun},
booktitle = {Proceedings of the 4th International Semantic Web Conference ({ISWC}
2005)},
citeulike-article-id = {2100048},
doi = {http://dx.doi.org/10.1007/11574620\_43},
interhash = {462f766e22d039109a9c9a7978cee05f},
intrahash = {dd5f346b65cd3fad0d215df39c69cc1b},
keywords = {ontology ontology-linktype relation-extraction},
pages = {593--606},
posted-at = {2007-12-12 19:01:19},
priority = {2},
timestamp = {2009-10-23T08:40:08.000+0200},
title = {RelExt: A Tool for Relation Extraction from Text in Ontology Extension},
url = {http://dx.doi.org/10.1007/11574620\_43},
year = 2005
}