Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/26560

TitleReviewing the problem of learning non-taxonomic relationships of ontologies from text
Author(s)Serra, Ivo
Girardi, Rosário
Novais, Paulo
KeywordsOntology
Ontology learning
Non-taxonomic relationships
Natural Language Processing
Issue date2012
PublisherWorld Scientific Publishing
JournalInternational Journal of Semantic Computing
Abstract(s)Learning Non-Taxonomic Relationships is a sub-field of Ontology Learning that aims at automating the extraction of these relationships from text. This article discusses the problem of Learning Non-Taxonomic Relationships of ontologies and proposes a generic process for approaching it. Some techniques representing the state of the art of this field are discussed along with their advantages and limitations. Finally, a framework for Learning Non- Taxonomic Relationships being developed by the authors is briefly discussed. This framework intends to be a customizable solution to reach good effectiveness in the process of extraction of non-taxonomic relationships according to the characteristics of the corpus.
TypeArticle
URIhttp://hdl.handle.net/1822/26560
ISSN1793-351X
Publisher versionhttp://dx.doi.org/10.1142/S1793351X12500080
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)

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