Approaches to ontology development by non ontology experts

Aguado de Cea, Guadalupe ORCID: https://orcid.org/0000-0003-0367-0299, Montiel Ponsoda, Elena ORCID: https://orcid.org/0000-0003-3263-3403 and Suárez-Figueroa, Mari Carmen ORCID: https://orcid.org/0000-0003-3807-5019 (2009). Approaches to ontology development by non ontology experts. En: "International Symposium on Data and Sense Mining, Machine Translation and Controlled Languages, ISMTCL", 1-3 de julio de 2009, Besançon, Francia. ISBN 978-2-84867-261-8.

Descripción

Título: Approaches to ontology development by non ontology experts
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Symposium on Data and Sense Mining, Machine Translation and Controlled Languages, ISMTCL
Fechas del Evento: 1-3 de julio de 2009
Lugar del Evento: Besançon, Francia
Título del Libro: Proceedings of International Symposium on Data and Sense Mining, Machine Translation and Controlled Languages, ISMTCL
Fecha: Julio 2009
ISBN: 978-2-84867-261-8
Materias:
ODS:
Palabras Clave Informales: oeg
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: Ontology Engineering Group – OEG
Licencias Creative Commons: Ninguna

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Resumen

Untrained users in the development of ontologies are challenged by the formal representation languages that underlie the most common ontology editing tools. To reduce that barrier, many efforts have gone in the creation of Controlled Languages (CL) translatable into ontology structures. However, CLs fall short of addressing a more profound problem: the selection of the most appropriate ontology modelling component for a certain modelling problem, regardless of the underlying representation paradigm. With the aim of approaching non ontology expert's difficulties in selecting the most appropriate modelling solution, we propose a Natural Language (NL) guided approach based on a repository of Lexico-Syntactic Patterns associated to consensual modelling solutions, i.e., Ontology Design Patterns. By relying on this repository, untrained users can formulate in NL what they want to model in the ontology, and obtain the corresponding design pattern for the modelling issue.

Más información

ID de Registro: 5186
Identificador DC: https://oa.upm.es/5186/
Identificador OAI: oai:oa.upm.es:5186
URL Oficial: http://www.ismtcl.org/site/
Depositado por: Dr Oscar Corcho
Depositado el: 17 Dic 2010 10:39
Ultima Modificación: 05 Jul 2024 11:02