Ontological learning for a dynamic semantics ontological framework

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Autore principale: Taniana Rodríguez
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2014
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author Taniana Rodríguez
author_facet Taniana Rodríguez
contents Ontological learning for a dynamic semantics ontological framework Taniana Rodríguez José Aguilar Ingeniería Semantic W eb Ontological Learning Natural Language Processing In this paper we propose an Ontological Learning architecture, which is one of the key components of the Dynamic Semantic Onto logical Framework (MODS) for the Semantic Web. This architecture suppor ts the automatic acquisition of lexical and semantic knowledge. In particular, it allows the acquisition of knowledge of terms (wo rds), concepts (taxonomic, not taxonomic) relations, production rules, or axiom. The architecture establishes where each acquired knowled ge must be incorporated into the structures of MODS: its interp retive ontology, language ontology, or lexicon. Furthermore, the paper presents an example of use of architecture to the case of sema ntic learning. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49632363006 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.187 Vol.81
format Artículo científico
id redalyc_49632363006
institution Redalyc
language en
publishDate 2014
publisher Universidad Nacional de Colombia
spellingShingle Ontological learning for a dynamic semantics ontological framework
Taniana Rodríguez
Ingeniería
Semantic W eb
Ontological Learning
Natural Language Processing
Ontological learning for a dynamic semantics ontological framework Taniana Rodríguez José Aguilar Ingeniería Semantic W eb Ontological Learning Natural Language Processing In this paper we propose an Ontological Learning architecture, which is one of the key components of the Dynamic Semantic Onto logical Framework (MODS) for the Semantic Web. This architecture suppor ts the automatic acquisition of lexical and semantic knowledge. In particular, it allows the acquisition of knowledge of terms (wo rds), concepts (taxonomic, not taxonomic) relations, production rules, or axiom. The architecture establishes where each acquired knowled ge must be incorporated into the structures of MODS: its interp retive ontology, language ontology, or lexicon. Furthermore, the paper presents an example of use of architecture to the case of sema ntic learning. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49632363006 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.187 Vol.81
title Ontological learning for a dynamic semantics ontological framework
topic Ingeniería
Semantic W eb
Ontological Learning
Natural Language Processing
url https://www.redalyc.org/articulo.oa?id=49632363006