What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web

Haller, Armin and Fernández, Javier D. and Kamdar, Maulik R. and Polleres, Axel ORCID: https://orcid.org/0000-0001-5670-1146 (2019) What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web. Working Papers on Information Systems, Information Business and Operations, 2/2019. Department für Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business, Vienna. ISSN 2518-6809


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Linked Open Data promises to provide guiding principles to publish interlinked knowledge graphs on the Web in the form of findable, accessible, interoperable and reusable datasets. We argue that while as such, Linked Data may be viewed as a basis for instantiating the FAIR principles, there are still a number of open issues that cause significant data quality issues even when knowledge graphs are published as Linked Data. Firstly, in order to define boundaries of single coherent knowledge graphs within Linked Data, a principled notion of what a dataset is, or, respectively, what links within and between datasets are, has been missing. Secondly, we argue that in order to enable FAIR knowledge graphs, Linked Data misses standardised findability and accessability mechanism, via a single entry link. In order to address the first issue, we (i) propose a rigorous definition of a naming authority for a Linked Data dataset (ii) define different link types for data in Linked datasets, (iii) provide an empirical analysis of linkage among the datasets of the Linked Open Data cloud, and (iv) analyse the dereferenceability of those links. We base our analyses and link computations on a scalable mechanism implemented on top of the HDT format, which allows us to analyse quantity and quality of different link types at scale.

Item Type: Paper
Additional Information: This article is under submission for the Journal of Data and Information Quality (JDIQ, ISSN 1936-1955)
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Informationswirtschaft
Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Polleres
Version of the Document: Submitted
Variance from Published Version: Not applicable
Depositing User: Axel Polleres
Date Deposited: 03 Oct 2019 08:33
Last Modified: 24 Oct 2019 13:30
URI: https://epub.wu.ac.at/id/eprint/7193


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