PARNT: A statistic based approach to extract non-taxonomic relationships of ontologies from text

Learning Non-Taxonomic Relationships is a subfield of Ontology learning that aims at automating the extraction of these relationships from text. This article proposes PARNT, a novel approach that supports ontology engineers in extracting these elements from corpora of plain English. PARNT is paramet...

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Bibliographic Details
Main Author: Serra, Ivo (author)
Other Authors: Girardi, Rosário (author), Novais, Paulo (author)
Format: conferencePaper
Language:eng
Published: 2013
Subjects:
Learning non-taxonomic relationships
Ontology
Ontology learning
Natural language processing
Machine learning
Science & Technology
Online Access:http://hdl.handle.net/1822/26654
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/26654

Internet

http://hdl.handle.net/1822/26654

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