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Feature logics based discovery and composition of biological web resources
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Source International Conference on Information Integration and web-based Applications and Services archive
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services table of contents
Linz, Austria
WORKSHOP SESSION: iiWAS 2008 workshops: RED 2008 table of contents
Pages 483-486  
Year of Publication: 2008
ISBN:978-1-60558-349-5
Authors
François Marie Colonna  Aix-Marseille Université, Marseille
Omar Boucelma  Aix-Marseille Université, Marseille
Sponsor
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
Publisher
ACM  New York, NY, USA
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ABSTRACT

Despite the availability of several data integration tools, the proliferation of biological databases and resources over the Internet is still challenging the bioinformatics community. Whereas current research is targeted towards the use of ontologies and P2P architectures, most of the Web data still remain accessible through rudimentary interfaces like query forms, that grant access to the underlying data management system. In this paper, we present a formalism based on feature logics used for representing and comparing those resources. The purpose of our work is twofold, and concerns reasoning on traditional query forms capabilities for creating join paths through resources, and the use of the generated paths as a support for cascading joins across heterogeneous and distributed datasets.


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.

 
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Collaborative Colleagues:
François Marie Colonna: colleagues
Omar Boucelma: colleagues