Detecting Good Practices and Pitfalls when Publishing Vocabularies on the Web

Poveda-Villalón, María; Vatant, B.; Suárez-Figueroa, Mari Carmen y Gómez-Pérez, A. (2013). Detecting Good Practices and Pitfalls when Publishing Vocabularies on the Web. En: "WOP 2013 – Workshop on Ontology Patterns at the 12th International Semantic Web Conference (ISWC 2013)", 21 October 2013, Sydney, Australia. ISBN 1613-0073.

Descripción

Título: Detecting Good Practices and Pitfalls when Publishing Vocabularies on the Web
Autor/es:
  • Poveda-Villalón, María
  • Vatant, B.
  • Suárez-Figueroa, Mari Carmen
  • Gómez-Pérez, A.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: WOP 2013 – Workshop on Ontology Patterns at the 12th International Semantic Web Conference (ISWC 2013)
Fechas del Evento: 21 October 2013
Lugar del Evento: Sydney, Australia
Título del Libro: Proceedings of the WOP 2013
Fecha: 2013
ISBN: 1613-0073
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Grupo Investigación UPM: oeg
Licencias Creative Commons: Ninguna

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Resumen

The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. These ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, sharing and facilitating the (re)use of the obtained model. In this paper, 11 evaluation characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabularies or to check the one being built.

Más información

ID de Registro: 21896
Identificador DC: http://oa.upm.es/21896/
Identificador OAI: oai:oa.upm.es:21896
Depositado por: Dr Oscar Corcho
Depositado el: 09 Dic 2013 14:02
Ultima Modificación: 21 Abr 2016 12:43
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