A Linked Data scalability challenge : concept reuse leads to semantic decay
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The increasing amount of available Linked Data resources is laying the foundations for more advanced Semantic Web applications. One of their main limitations, however, remains the general low level of data quality. In this paper we focus on a measure of quality which is negatively affected by the increase of the available resources. We propose a measure of semantic richness of Linked Data concepts and we demonstrate our hypothesis that the more a concept is reused, the less semantically rich it becomes. This is a significant scalability issue, as one of the core aspects of Linked Data is the propagation of semantic information on the Web by reusing common terms. We prove our hypothesis with respect to our measure of semantic richness and we validate our model empirically. Finally, we suggest possible future directions to address this scalability problem.
Pareti , P , Klein , E & Barker , A D 2015 , A Linked Data scalability challenge : concept reuse leads to semantic decay . in Proceedings of the ACM Web Science Conference . , 7 , ACM , New York , WebSci'15 ACM Web Science Conference , Oxford , United Kingdom , 28/06/15 . https://doi.org/10.1145/2786451.2786485conference
Proceedings of the ACM Web Science Conference
This is the author’s version of the work. It is posted here for your personal use. Not for redistribution. The definitive version was published in: WebSci ’15, June 28 - July 01, 2015, Oxford, United Kingdom
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