LINKED DATA MEETS ONTOLOGY MATCHING - Enhancing Data Linking through Ontology Alignments

François Scharffe, Jérôme Euzenat

2011

Abstract

The Web of data consists of publishing data on the Web in such a way that they can be connected together and interpreted. It is thus critical to establish links between these data, both for the Web of data and for the Semantic Web that it contributes to feed. We consider here the various techniques which have been developed for that purpose and analyze their commonalities and differences. This provides a general framework that the diverse data linking systems instantiate. From this framework we consider the relation between data linking and ontology matching activities. Although, they can be considered similar at a certain level (they both relate formal entities), they serve different purposes: one acts at the schema level and the other at the instance level. However, they would find a mutual benefit at collaborating. We thus present a scheme under which it is possible for data linking tools to take advantage of ontology alignments. We present the features of expressive alignment languages that allows linking specifications to reuse ontology alignments in a natural way.

References

  1. Alexander, K., Cyganiak, R., Hausenblas, M., and Zhao, J. (2009). Describing linked datasets - on the design and usage of void, the 'vocabulary of interlinked datasets'. In Linked Data on the Web Workshop (LDOW09), Workshop at 18th International World Wide Web Conference (WWW09), Madrid, Spain.
  2. Bizer, C., Volz, J., Kobilarov, G., and Gaedke, M. (2009). Silk - a link discovery framework for the web of data. In 18th International World Wide Web Conference.
  3. Bouquet, P., Stoermer, H., and Bazzanella, B. (2008). An Entity Naming System for the Semantic Web. In Proceedings of the 5th European Semantic Web Conference (ESWC2008), LNCS.
  4. David, J., Euzenat, J., Scharffe, F., and dos Santos, C. T. (2011). The alignment api 4.0. Semantic Web, 2(1):3- 10.
  5. Elmagarmid, A., Ipeirotis, P., and Verykios, V. (2007). Duplicate record detection: A survey. IEEE Transactions on Knowledge and Data Engineering, 19(1):1-16.
  6. Euzenat, J., Scharffe, F., and Zimmermann, A. (2007). D2.2.10: Expressive alignment language and implementation. Project deliverable 2.2.10, Knowledge Web NoE (FP6-507482).
  7. Euzenat, J. and Shvaiko, P. (2007). Ontology matching. Springer-Verlag, Heidelberg (DE).
  8. Fellegi, I. P. and Sunter, A. B. (1969). A theory for record linkage. Journal of the American Statistical Association, 64(328):1183-1210.
  9. Raimond, Y., Abdallah, S., Sandler, M., and Giasson, F. (2007). The music ontology. In Proceedings of the International Conference on Music Information Retrieval.
  10. Scharffe, F. (2009). Correspondence Patterns Representation. PhD thesis, University of Innsbruck.
  11. Scharffe, F. and Euzenat, J. (2011). MeLinDa: an interlinking framework for the web of data. Rapport de recherche 7691, INRIA.
  12. Scharffe, F. and Fensel, D. (2008). Correspondence patterns for ontology mediation. In Springer, editor, Proceedings of the 16th International Conference on Knowledge Engineering and Knowledge Management (EKAW2008), pages 83-92.
  13. Volz, J., Bizer, C., and Gaedke, M. (2009). Web of data link maintenance protocol. Protocol specification, Frei Universität Berlin.
  14. Winkler, W. (2006). Overview of record linkage and current research directions. Technical Report 2006-2, Statistical Research Division. U.S. Census Bureau.
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Paper Citation


in Harvard Style

Scharffe F. and Euzenat J. (2011). LINKED DATA MEETS ONTOLOGY MATCHING - Enhancing Data Linking through Ontology Alignments . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 279-284. DOI: 10.5220/0003666002790284


in Bibtex Style

@conference{keod11,
author={François Scharffe and Jérôme Euzenat},
title={LINKED DATA MEETS ONTOLOGY MATCHING - Enhancing Data Linking through Ontology Alignments},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={279-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003666002790284},
isbn={978-989-8425-80-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - LINKED DATA MEETS ONTOLOGY MATCHING - Enhancing Data Linking through Ontology Alignments
SN - 978-989-8425-80-5
AU - Scharffe F.
AU - Euzenat J.
PY - 2011
SP - 279
EP - 284
DO - 10.5220/0003666002790284