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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Detalles Bibliográficos
Autores: Rodriguez, Taniana, Aguilar, José
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:Colombia
Institución:Universidad Nacional de Colombia
Repositorio:Repositorio UN
Idioma:español
OAI Identifier:oai:repositorio.unal.edu.co:unal/50474
Acceso en línea:https://repositorio.unal.edu.co/handle/unal/50474
http://bdigital.unal.edu.co/44471/
Access Level:acceso abierto
Palabra clave:Natural Language Processing
Ontological Learning
Semantic Web
Descripción
Sumario: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