Article

The R2R framework: publishing and discovering mappings on the web

Authors:

Christian Bizer,

Andreas SchultzAuthors Info & Claims

COLD'10: Proceedings of the First International Conference on Consuming Linked Data - Volume 665

Pages 97 - 108

Published: 08 November 2010 Publication History

Abstract

The promise of the Web of Linked Data is to enable client applications to discover new data sources by following RDF links at run-time and to smoothly integrate data from these sources. Linked Data sources use different vocabularies to describe the same type of objects. It is also common practice to mix terms from different widely used vocabularies with proprietary terms. Thus Linked Data applications need to apply mappings to translate Web data to their local schema before doing any sophisticated data processing. Maintaining a local or central set of mappings that cover all Linked Data sources is likely to be impossible due to the size and dynamics of the Web of Linked Data. Thus this paper propagates a distributed, pay-as-you-go integration approach where data publishers, vocabulary maintainers and third parties may publish expressive mappings on the Web. A client application which discovers data that is represented using terms that are unknown to the application may search the Web for mappings and apply the discovered mappings to translate data to its local schema. We propose a language for publishing expressive, named mappings on the Web and a composition method for chaining partial mappings from different sources based on a mapping quality assessment heuristic. The composition method is implemented within the R2R Mapping Engine which can be used by Linked Data applications to translate Web data to their local schema.

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Cited By

Bashardoost BMiller RLyons KNargesian F(2020)Knowledge translationProceedings of the VLDB Endowment10.14778/3407790.340780613:12(2018-2032)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.14778/3407790.3407806
Mountantonakis MTzitzikas Y(2019)Large-scale Semantic Integration of Linked DataACM Computing Surveys10.1145/334555152:5(1-40)Online publication date: 13-Sep-2019
https://dl.acm.org/doi/10.1145/3345551
Sherif MNgomo ALehmann J(2015)Automating RDF Dataset Transformation and EnrichmentProceedings of the 12th European Semantic Web Conference on The Semantic Web. Latest Advances and New Domains - Volume 908810.1007/978-3-319-18818-8_23(371-387)Online publication date: 31-May-2015
https://dl.acm.org/doi/10.1007/978-3-319-18818-8_23

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Information & Contributors

Information

Published In

cover image Guide Proceedings

COLD'10: Proceedings of the First International Conference on Consuming Linked Data - Volume 665

November 2010

113 pages

Editors:
Olaf Hartig
Humboldt-Universität zu Berlin, Institut für Informatik, Berlin, Germany
,
Andreas Harth
Karlsruhe Institute of Technology, Institute AIFB, Karlsruhe, Germany
,
Juan Sequeda
University of Texas at Austin, Department of Computer Sciences, Austin, TX

Publisher

CEUR-WS.org

Aachen, Germany

Publication History

Published: 08 November 2010

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Cited By

Bashardoost BMiller RLyons KNargesian F(2020)Knowledge translationProceedings of the VLDB Endowment10.14778/3407790.340780613:12(2018-2032)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.14778/3407790.3407806
Mountantonakis MTzitzikas Y(2019)Large-scale Semantic Integration of Linked DataACM Computing Surveys10.1145/334555152:5(1-40)Online publication date: 13-Sep-2019
https://dl.acm.org/doi/10.1145/3345551
Sherif MNgomo ALehmann J(2015)Automating RDF Dataset Transformation and EnrichmentProceedings of the 12th European Semantic Web Conference on The Semantic Web. Latest Advances and New Domains - Volume 908810.1007/978-3-319-18818-8_23(371-387)Online publication date: 31-May-2015
https://dl.acm.org/doi/10.1007/978-3-319-18818-8_23

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