In recent years, much effort has been put in ontology learning. However, the knowledge acquisition process is typically focused in the taxonomic aspect. The discovery of non-taxonomic relationships is often neglected, even though it is a fundamental point in structuring domain knowledge. This paper presents an automatic and unsupervised methodology that addresses the non-taxonomic learning process for constructing domain ontologies. It is able to discover domain-related verbs, extract non-taxonomically related concepts and label relationships, using the Web as corpus. The paper also discusses how the obtained relationships can be automatically evaluated against WordNet and presents encouraging results for several domains.
%0 Journal Article
%1 journals/dke/SanchezM08
%A Sánchez, David
%A Moreno, Antonio
%D 2008
%J Data & Knowledge Engineering
%K Knowledge_acquisition Non-taxonomic-relationships Ontology_learning Web_mining domain_ontology ontology_construction
%N 3
%P 600--623
%R 10.1016/j.datak.2007.10.001
%T Learning non-taxonomic relationships from web documents for domain ontology construction.
%U http://dblp.uni-trier.de/db/journals/dke/dke64.html#SanchezM08
%V 64
%X In recent years, much effort has been put in ontology learning. However, the knowledge acquisition process is typically focused in the taxonomic aspect. The discovery of non-taxonomic relationships is often neglected, even though it is a fundamental point in structuring domain knowledge. This paper presents an automatic and unsupervised methodology that addresses the non-taxonomic learning process for constructing domain ontologies. It is able to discover domain-related verbs, extract non-taxonomically related concepts and label relationships, using the Web as corpus. The paper also discusses how the obtained relationships can be automatically evaluated against WordNet and presents encouraging results for several domains.
@article{journals/dke/SanchezM08,
abstract = {In recent years, much effort has been put in ontology learning. However, the knowledge acquisition process is typically focused in the taxonomic aspect. The discovery of non-taxonomic relationships is often neglected, even though it is a fundamental point in structuring domain knowledge. This paper presents an automatic and unsupervised methodology that addresses the non-taxonomic learning process for constructing domain ontologies. It is able to discover domain-related verbs, extract non-taxonomically related concepts and label relationships, using the Web as corpus. The paper also discusses how the obtained relationships can be automatically evaluated against WordNet and presents encouraging results for several domains.},
added-at = {2009-09-06T18:55:27.000+0200},
author = {Sánchez, David and Moreno, Antonio},
biburl = {https://www.bibsonomy.org/bibtex/29f2b2bbda2918eb3d23b827f48619794/lama},
date = {2008-02-22},
description = {dblp},
doi = {10.1016/j.datak.2007.10.001},
interhash = {74b1c5387f3b474ecd8d4d24b81c875e},
intrahash = {9f2b2bbda2918eb3d23b827f48619794},
journal = {Data & Knowledge Engineering},
keywords = {Knowledge_acquisition Non-taxonomic-relationships Ontology_learning Web_mining domain_ontology ontology_construction},
month = {March},
number = 3,
pages = {600--623},
timestamp = {2009-09-06T18:55:27.000+0200},
title = {Learning non-taxonomic relationships from web documents for domain ontology construction.},
url = {http://dblp.uni-trier.de/db/journals/dke/dke64.html#SanchezM08},
volume = 64,
year = 2008
}