A comprehensive quality model for Linked Data

Tracking #: 1488-2700

Filip Radulovic
Nandana Mihindukulasooriya
Raúl García-Castro
Asunción Gómez-Pérez

Responsible editor: 
Guest Editors Quality Management of Semantic Web Assets

Submission type: 
Full Paper
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.
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Solicited Reviews:
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Review #1
By Gavin Mendel-Gleason submitted on 12/Nov/2016
Review Comment:

Most concerns have been addressed in the final revision.

Review #2
By Jeremy Debattista submitted on 14/Nov/2016
Review Comment:

I am happy with the revisions and have no further comments for the authors.