Linked data schemata: Fixing unsound foundations

Issue title: Quality management of Semantic Web assets (data, services and systems)

Guest editors: Amrapali Zaveri, Dimitris Kontokostas, Sebastian Hellmann and Jürgen Umbrich

Article type: Research Article

Authors: Feeney, Kevin Chekov^{; *} | Mendel Gleason, Gavin | Brennan, Rob

Affiliations: Knowledge and Data Engineering Group & ADAPT Centre, School of Computer Science & Statistics, Trinity College Dublin, Ireland

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: This paper describes our tools and method for an evaluation of the practical and logical implications of combining common linked data vocabularies into a single local logical model for the purpose of reasoning or performing quality evaluations. These vocabularies need to be unified to form a combined model because they reference or reuse terms from other linked data vocabularies and thus the definitions of those terms must be imported. We found that strong interdependencies between vocabularies are common and that a significant number of logical and practical problems make this model unification inconsistent. In addition to identifying problems, this paper suggests a set of recommendations for linked data ontology design best practice. Finally we make some suggestions for improving OWL’s support for distributed authoring and ontology reuse.

Keywords: Linked data, reasoning, data quality

DOI: 10.3233/SW-170271

Journal: Semantic Web, vol. 9, no. 1, pp. 53-75, 2018