Quotation Haller, Armin, Fernández, Javier D., Kamdar, Maulik R., Polleres, Axel. 2020. What Are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web. ACM Journal of Data and Information Quality. 12 1-34.




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. First, 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. Second, we argue that to enable FAIR knowledge graphs, Linked Data misses standardised findability and accessability mechanism via a single entry link. 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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal ACM Journal of Data and Information Quality
Language English
Title What Are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web
Volume 12
Year 2020
Page from 1
Page to 34
Reviewed? Y
URL https://dl.acm.org/doi/10.1145/3369875
DOI http://dx.doi.org/10.1145/3369875
Open Access N


Polleres, Axel (Details)
Fernández, Javier D. (Complexity Science Hub Vienna, Austria)
Haller, Armin (Australian National University, Australia)
Kamdar, Maulik R. (Stanford University, United States/USA)
Institute for Data, Process and Knowledge Management IN (Details)
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