A Linked Data Scalability Challenge: Concept Reuse Leads to Semantic Decay

Paolo Pareti, Ewan Klein, Adam Barker

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


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 for ACM Web Science Conference 2015
Number of pages5
Publication statusPublished - 1 Jul 2015
EventACM Web Science Conference 2015 - Oxford, United Kingdom
Duration: 28 Jun 20151 Jul 2015


ConferenceACM Web Science Conference 2015
Country/TerritoryUnited Kingdom


Dive into the research topics of 'A Linked Data Scalability Challenge: Concept Reuse Leads to Semantic Decay'. Together they form a unique fingerprint.

Cite this