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A declarative framework for semantic link discovery over relational data
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International World Wide Web Conference archive
Proceedings of the 18th international conference on World wide web table of contents
Madrid, Spain
POSTER SESSION: Wednesday, April 22, 2009 table of contents
Pages 1101-1102  
Year of Publication: 2009
ISBN:978-1-60558-487-4
Authors
Oktie Hassanzadeh  University of Toronto, Toronto, ON, Canada
Lipyeow Lim  IBM T.J. Watson Research Center, Hawthorne, NY, USA
Anastasios Kementsietsidis  IBM T.J. Watson Research Center, Hawthorne, NY, USA
Min Wang  IBM T.J. Watson Research Center, Hawthorne, NY, USA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we present a framework for online discovery of semantic links from relational data. Our framework is based on declarative specification of the linkage requirements by the user, that allows matching data items in many real-world scenarios. These requirements are translated to queries that can run over the relational data source, potentially using the semantic knowledge to enhance the accuracy of link discovery. Our framework lets data publishers to easily find and publish high-quality links to other data sources, and therefore could significantly enhance the value of the data in the next generation of web.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Openlink Virtuoso: Universal server platform for the real-time enterprise, http://virtuoso.openlinksw.com/.
 
3
C. Bizer and A. Seaborne. D2RQ -- Treating non-rdf databases as virtual RDF graphs. In ISWC2004 (posters).

Collaborative Colleagues:
Oktie Hassanzadeh: colleagues
Lipyeow Lim: colleagues
Anastasios Kementsietsidis: colleagues
Min Wang: colleagues