A comprehensive quality model for Linked Data

Radulovic, Filip and Mihindukulasooriya, Nandana and García-Castro, Raúl and Gómez-Pérez, A. (2018). A comprehensive quality model for Linked Data. "Semantic Web: Interoperability, Usability, Applicability", v. 9 (n. 1); pp. 3-24. ISSN 2210-4968. https://doi.org/10.3233/SW-170267.

Description

Title: A comprehensive quality model for Linked Data
Author/s:
  • Radulovic, Filip
  • Mihindukulasooriya, Nandana
  • García-Castro, Raúl
  • Gómez-Pérez, A.
Item Type: Article
Título de Revista/Publicación: Semantic Web: Interoperability, Usability, Applicability
Date: November 2018
ISSN: 2210-4968
Volume: 9
Subjects:
Freetext Keywords: Data Quality, Linked Data, Ontology, Quality Model
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img] PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB)

Abstract

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.

More information

Item ID: 72416
DC Identifier: https://oa.upm.es/72416/
OAI Identifier: oai:oa.upm.es:72416
DOI: 10.3233/SW-170267
Official URL: http://www.semantic-web-journal.net/content/comprehensive-quality-model-linked-data-1
Deposited by: Biblioteca Facultad de Informatica
Deposited on: 20 Jan 2023 09:23
Last Modified: 20 Jan 2023 09:23
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM