Resumen

RODRIGUEZ, Taniana  y  AGUILAR, José. Ontological learning for a dynamic semantics ontological framework. Dyna rev.fac.nac.minas [online]. 2014, vol.81, n.187, pp.56-63. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v81n186.40087.

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

Palabras clave : Natural Language Processing; Ontological Learning; Semantic Web.

        · resumen en Español     · texto en Español     · Español ( pdf )