Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
A comprehensive quality model for Linked Data
Año:2016
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
With the increasing amount of Linked Data published on the Web, the community has recognised the importance of the quality of such data and a number of initiatives have been undertaken to specify and evaluate Linked Data quality. However, these initiatives are characterised by a high diversity in terms of the quality aspects that they address and measure. This leads to difficulties in comparing and benchmarking evaluation results, as well as in selecting the right data source according to certain quality needs. This paper presents a quality model for Linked Data, which provides a unique terminology and reference for Linked Data quality specification and evaluation. The mentioned quality model specifies a set of quality characteristics and quality measures related to Linked Data, together with formulas for the calculation of measures. Furthermore, this paper also presents an extension of the W3C Data Quality Vocabulary that can be used to capture quality information specific to Linked Data, a Linked Data representation of the Linked Data quality model, and a use case in which the benefits of the quality model proposed in this paper are presented in a tool for Linked Data evaluation.
Internacional
Si
JCR del ISI
Si
Título de la revista
Semantic Web
ISSN
1570-0844
Factor de impacto JCR
1,786
Información de impacto
Volumen
15
DOI
Número de revista
Desde la página
130
Hasta la página
169
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Filip Radulovic . (UPM)
  • Autor: Nandana Sampath Mihindukulasooriya (UPM)
  • Autor: Raul Garcia Castro (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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