Ontological learning for a dynamic semantics ontological framework

In this paper we propose an Ontological Learning architecture, which is one of the key components of the Dynamic Semantic Ontological Framework (MODS) for the Semantic Web. This architecture supports the automatic acquisition of lexical and semantic knowledge. In particular, it allows the acquisitio...

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Detalhes bibliográficos
Autores: Rodriguez, Taniana, Aguilar, José
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2014
País:Colombia
Recursos:Universidad Nacional de Colombia
Repositório:Repositorio UN
Idioma:espanhol
OAI Identifier:oai:repositorio.unal.edu.co:unal/50474
Acesso em linha:https://repositorio.unal.edu.co/handle/unal/50474
http://bdigital.unal.edu.co/44471/
Access Level:Acceso aberto
Palavra-chave:Natural Language Processing
Ontological Learning
Semantic Web
Descrição
Resumo:In this paper we propose an Ontological Learning architecture, which is one of the key components of the Dynamic Semantic Ontological Framework (MODS) for the Semantic Web. This architecture supports the automatic acquisition of lexical and semantic knowledge. In particular, it allows the acquisition of knowledge of terms (words), concepts (taxonomic, not taxonomic) relations, production rules, or axiom. The architecture establishes where each acquired knowledge must be incorporated into the structures of MODS: its interpretive ontology, language ontology, or lexicon. Furthermore, the paper presents an example of use of architecture to the case of semantic learning