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Memorias de investigación
Ponencias en congresos:
Natural Language-based Approach for Helping in the Reuse of Ontology Design Patterns
Año:2008
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Experiments in the reuse of Ontology Design Patterns (ODPs) have revealed that users with different levels of expertise in ontology modelling face difficulties when reusing ODPs. With the aim of tackling this problem we propose a method and a tool for supporting a semi-automatic reuse of ODPs that takes as input formulations in natural language (NL) of the domain aspect to be modelled, and obtains as output a set of ODPs for solving the initial ontological needs. The correspondence between ODPs and NL formulations is done through Lexico-Syntactic Patterns, linguistic constructs that convey the semantic relations present in ODPs, and which constitute the main contribution of this paper. The main benefit of the proposed approach is the use of non-restricted NL formulations in various languages for obtaining ODPs. The use of full NL poses challenges in the disambiguation of linguistic expressions that we expect to solve with user interaction, among other strategies.
Internacional
Si
Nombre congreso
16th International Conference on Knowledge Engineering and Knowledge Management Knowledge Patterns (EKAW 2008)
Tipo de participación
960
Lugar del congreso
Acitrezza, Catania, Italia
Revisores
Si
ISBN o ISSN
978-3-540-87695-3
DOI
Fecha inicio congreso
29/09/2008
Fecha fin congreso
03/10/2008
Desde la página
32
Hasta la página
47
Título de las actas
Proceedings: 16th International Conference on Knowledge Engineering and Knowledge Management Knowledge Patterns (EKAW 2008)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Asuncion de Maria Gomez Perez (UPM)
  • Autor: M. Carmen Suarez de Figueroa Baonza (UPM)
  • Autor: Guadalupe Aguado De Cea (UPM)
  • Autor: Elena Montiel Ponsoda (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Inteligencia Artificial
  • Departamento: Lingüistica Aplicada a la ciencia y a la Tecnología
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