A Linked Data scalability challenge: concept reuse leads to semantic decay

Paolo Pareti, Ewan Klein, Adam David Barker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
6 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the ACM Web Science Conference
Place of PublicationNew York
PublisherACM
Number of pages5
ISBN (Print)9781450336727
DOIs
Publication statusPublished - 28 Jun 2015
EventWebSci'15 ACM Web Science Conference - Oxford e-Research Centre and Keble College, Oxford, United Kingdom
Duration: 28 Jun 20151 Jul 2015
http://websci15.org/

Conference

ConferenceWebSci'15 ACM Web Science Conference
Country/TerritoryUnited Kingdom
CityOxford
Period28/06/151/07/15
Internet address

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