Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/23920

TitleThe 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
PublisherSpringer
JournalAdvances in Soft Computing
Abstract(s)Manual construction of ontologies by domain experts and knowledge engineers is a costly task. Thus, automatic and/or semi-automatic approaches to their development are needed. Ontology Learning aims at identifying its constituent elements, such as non-taxonomic relationships, from textual information sources. This article presents a discussion of the problem of Learning Non-Taxonomic Relationships of Ontologies and defines its generic process. Four techniques representing the state of the art of Learning Non-Taxonomic Relationships of Ontologies are described and the solutions they provide are discussed along with their advantages and limitations.
TypeConference paper
URIhttp://hdl.handle.net/1822/23920
ISBN9783642287657
DOI10.1007/978-3-642-28765-7_58
ISSN1860-0794
1615-3871
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CCTC - Artigos em revistas internacionais

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