research-article

Exploiting context and quality for linked data source selection

Authors:

Barbara Catania,

Giovanna Guerrini,

Beyza YamanAuthors Info & Claims

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

Pages 2251 - 2258

https://doi.org/10.1145/3297280.3297503

Published: 08 April 2019 Publication History

Abstract

The traditional Web is evolving into the Web of Data, which gathers huge collections of structured data over distributed, heterogeneous data sources. Live queries are needed to get current information out of this global data space. In live query processing, source selection deserves special attention, because it allows us to identify the sources that most likely contain relevant content. Due to the semantic heterogeneity of the Web of Data, however, it is not always easy to assess relevancy. Context information might help in interpreting the user needs. Moreover, besides relevancy, another important criterion for selecting sources is the quality of data they contain. In this paper, we discuss how context and quality metadata can be exploited to improve source selection.

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Cited By

Yaman BThompson KFahey FBrennan R(2024)LinkedDataOps:quality oriented end-to-end geospatial linked data production governanceSemantic Web10.3233/SW-23329315:2(555-581)Online publication date: 30-Apr-2024
https://doi.org/10.3233/SW-233293
Serra FPeralta VMarotta AMarcel P(2024)Use of Context in Data Quality Management: A Systematic Literature ReviewJournal of Data and Information Quality10.1145/367208216:3(1-41)Online publication date: 4-Oct-2024
https://dl.acm.org/doi/10.1145/3672082
Maillot PCorby OFaron CGandon FMichel F(2023)IndeGxWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2023.10077576:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.websem.2023.100775

Index Terms

Exploiting context and quality for linked data source selection

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

April 2019

2682 pages

ISBN:9781450359337

DOI:10.1145/3297280

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University, Marietta, Georgia
,
George A. Papadopoulos
University of Cyprus, Nicosia, Cyprus

Copyright © 2019 ACM.

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Published: 08 April 2019

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SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing

April 8 - 12, 2019

Limassol, Cyprus

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Cited By

Yaman BThompson KFahey FBrennan R(2024)LinkedDataOps:quality oriented end-to-end geospatial linked data production governanceSemantic Web10.3233/SW-23329315:2(555-581)Online publication date: 30-Apr-2024
https://doi.org/10.3233/SW-233293
Serra FPeralta VMarotta AMarcel P(2024)Use of Context in Data Quality Management: A Systematic Literature ReviewJournal of Data and Information Quality10.1145/367208216:3(1-41)Online publication date: 4-Oct-2024
https://dl.acm.org/doi/10.1145/3672082
Maillot PCorby OFaron CGandon FMichel F(2023)IndeGxWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2023.10077576:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.websem.2023.100775

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