It uses Natural Language Processing (NLP) techniques to identify good candidates of non-taxonomic relationships and a data mining technique to suggest their ...
A Process for Extracting Non-Taxonomic Relationships of. Ontologies from Text. Ivo Serra, Rosario Girardi. Federal University of Maranhão, Beren, Brazil. E-mail ...
It uses Natural Language Processing (NLP) techniques to identify good candidates of non-taxonomic relationships and a data mining technique to suggest their ...
It uses Natural Language Processing (NLP) techniques to identify good candidates of non-taxonomic relationships and a data mining technique to suggest their ...
Table 2 Processes for extracting non-taxonomic relationships from text. Employed techniques. Machine learning tech- nique. Relationships are indicated by verbs.
The best way identified and used is through ontologies, since they aren't only a collection of concepts, but they also embeds the relations between the concepts ...
This article proposes PARNT, a novel approach that supports ontology engineers in extracting these elements from corpora of plain English.
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Ivo Serra, Rosario Girardi: A Process for Extracting Non-Taxonomic Relationships of Ontologies from Text. Intell. Inf. Manag. 3(4): 119-124 (2011).
Abstract—Learning Non-Taxonomic Relationships is a sub- field of Ontology learning that aims at automating the extraction of these relationships from text.
PARNT is a novel approach that supports ontology engineers in extracting these elements from corpora of plain English and uses original solutions that help ...