Article

LinksB2N: Automatic Data Integration for the Semantic Web

Authors:

Manuel Salvadores,

Gianluca Correndo,

Bene Rodriguez-Castro,

Nicholas Gibbins,

John Darlington,

Nigel R. ShadboltAuthors Info & Claims

OTM '09: Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II

Pages 1121 - 1138

https://doi.org/10.1007/978-3-642-05151-7_27

Published: 07 November 2009 Publication History

Abstract

The ongoing trend towards open data embraced by the Semantic Web has started to produce a large number of data sources. These data sources are published using RDF vocabularies, and it is possible to navigate throughout the data due to their graph topology. This paper presents LinksB2N, an algorithm for discovering information overlaps in RDF data repositories and performing data integration with no human intervention over data sets that partially share the same domain.

LinksB2N identifies equivalent RDF resources from different data sets with several degrees of confidence. The algorithm relies on a novel approach that uses clustering techniques to analyze the distribution of unique objects that contain overlapping information in different data graphs. Our contribution is illustrated in the context of the Market Blended Insight project by applying the LinksB2N algorithm to data sets in the order of hundreds of millions of RDF triples containing relevant information in the domain of business to business (B2B) marketing analysis.

References

[1]

Alani, H., Dasmahapatra, S., Gibbins, N., Glaser, H., Harris, S., Kalfoglou, Y., O'Hara, K., Shadbolt, N.: Managing reference: Ensuring referential integrity of ontologies for the semantic web. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 317-334. Springer, Heidelberg (2002).

Digital Library

Google Scholar

[2]

Arens, Y., Knoblock, C.A.: Sims: Retrieving and integrating information from multiple sources. In: SIGMOD Conference, pp. 562-563 (1993).

Digital Library

Google Scholar

[3]

Correndo, G., Alani, H.: Collaborative support for community data sharing. In: The 2nd Workshop on Collective Intelligence in Semantic Web and Social Networks (December 2008).

Digital Library

Google Scholar

[4]

Fellegi, I.P., Sunter, A.B.: A theory for record linkage. Journal of the American Statistical Association 64(328), 1183-1210 (1969).

Crossref

Google Scholar

[5]

Jaffri, A., Glaser, H., Millard, I.: Uri identity management for semantic web data integration and linkage. In: 3rd International Workshop On Scalable Semantic Web Knowledge Base Systems, Springer, Heidelberg (2007).

Digital Library

Google Scholar

[6]

Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the state of the art. Knowledge Engineering Review 18(1), 1-31 (2003).

Digital Library

Google Scholar

[7]

Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Technical Report 8 (1966).

Google Scholar

[8]

Mena, E., Illarramendi, A., Kashyap, V., Sheth, A.P.: Observer: An approach for query processing in global information systems based on interoperation across preexisting ontologies. Distributed and Parallel Databases 8(2), 223-271 (2000).

Digital Library

Google Scholar

[9]

Newcombe, H.B., Kennedy, J.M.: Record linkage: making maximum use of the discriminating power of identifying information. Commun. ACM 5(11), 563-566 (1962).

Digital Library

Google Scholar

[10]

Preece, A.D., Hui, K.-y., Gray, W.A., Marti, P., Bench-Capon, T.J.M., Jones, D.M., Cui, Z.: The kraft architecture for knowledge fusion and transformation. Knowl.- Based Syst. 13(2-3), 113-120 (2000).

Digital Library

Google Scholar

[11]

Salvadores, M., Zuo, L., Imtiaz, S.M.H., Darlington, J., Gibbins, N., Shadbolt, N., Dobree, J.: Market blended insight: Modeling propensity to buy with the semantic web. In: International Semantic Web Conference, pp. 777-789 (2008).

Digital Library

Google Scholar

[12]

Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Silk - A Link Discovery Framework for the Web of Data. In: 18th International World Wide Web Conference (2009).

Google Scholar

[13]

Wiederhold, G.: Mediators in the architecture of future information systems. IEEE Computer 25(3), 38-49 (1992).

Digital Library

Google Scholar

Cited By

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Bahri NBach Tobji M(2019)On indexing evidential dataInternational Journal of Approximate Reasoning10.1016/j.ijar.2018.12.015106:C(63-87)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1016/j.ijar.2018.12.015
Hogan AZimmermann AUmbrich JPolleres ADecker S(2018)Scalable and distributed methods for entity matching, consolidation and disambiguation over linked data corporaWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2011.11.00210(76-110)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.1016/j.websem.2011.11.002
Yang YSingh PYao JAu Yeung CZareian AWang XCai ZSalvadores MGibbins NHall WShadbolt N(2011)Distributed human computation framework for linked data co-reference resolutionProceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I10.5555/2008892.2008896(32-46)Online publication date: 29-May-2011
https://dl.acm.org/doi/10.5555/2008892.2008896

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Published In

OTM '09: Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II

November 2009

477 pages

ISBN:9783642051500

Editors:
Robert Meersman
STARLab, Vrije Universiteit Brussel (VUB), Brussels, Belgium 1050
,
Tharam Dillon
DEBII - CBS, De Laeter Way, Curtin University of Technology, Bentley, Australia 6102
,
Pilar Herrero
Facultad de Informática, Universidad Politécnica de Madrid, , , , ,, Madrid, Spain 28660

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 07 November 2009

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Bahri NBach Tobji M(2019)On indexing evidential dataInternational Journal of Approximate Reasoning10.1016/j.ijar.2018.12.015106:C(63-87)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1016/j.ijar.2018.12.015
Hogan AZimmermann AUmbrich JPolleres ADecker S(2018)Scalable and distributed methods for entity matching, consolidation and disambiguation over linked data corporaWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2011.11.00210(76-110)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.1016/j.websem.2011.11.002
Yang YSingh PYao JAu Yeung CZareian AWang XCai ZSalvadores MGibbins NHall WShadbolt N(2011)Distributed human computation framework for linked data co-reference resolutionProceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I10.5555/2008892.2008896(32-46)Online publication date: 29-May-2011
https://dl.acm.org/doi/10.5555/2008892.2008896

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The bio-zen plus ontology

RDFS(FA): Connecting RDF(S) and OWL DL

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