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

Paolo Pareti; Ewan  Klein; Adam David Barker

doi:10.1145/2786451.2786485

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

Paolo Pareti, Ewan Klein, Adam David Barker

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

7 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 language	English
Title of host publication	Proceedings of the ACM Web Science Conference
Place of Publication	New York
Publisher	ACM
Number of pages	5
ISBN (Print)	9781450336727
DOIs	https://doi.org/10.1145/2786451.2786485
Publication status	Published - 28 Jun 2015
Event	WebSci'15 ACM Web Science Conference - Oxford e-Research Centre and Keble College, Oxford, United Kingdom Duration: 28 Jun 2015 → 1 Jul 2015 http://websci15.org/

Conference

Conference	WebSci'15 ACM Web Science Conference
Country/Territory	United Kingdom
City	Oxford
Period	28/06/15 → 1/07/15
Internet address	http://websci15.org/

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10.1145/2786451.2786485

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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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title = "A Linked Data scalability challenge: concept reuse leads to semantic decay",

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 scalabilityissue, 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 modelempirically. Finally, we suggest possible future directions to address this scalability problem.",

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AU - Barker, Adam David

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N2 - 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 scalabilityissue, 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 modelempirically. Finally, we suggest possible future directions to address this scalability problem.

AB - 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 scalabilityissue, 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 modelempirically. Finally, we suggest possible future directions to address this scalability problem.

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CY - New York

Y2 - 28 June 2015 through 1 July 2015

ER -

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

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