The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction

Somsack Inthasone 1 Nicolas Pasquier 1 Andrea G. B. Tettamanzi 2 Célia Da Costa Pereira 1
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Projet MinD
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Biodiversity datasets are generally stored in different for-mats. This makes it difficult for biologists to combine and integrate them to retrieve useful information for the purpose of, for example, efficiently classify specimens. In this paper, we present BioKET, a data warehouse which is a consolidation of heterogeneous data sources stored in different formats. For the time being, the scopus of BioKET is botanical. We had, among others things, to list all the existing botanical ontologies and re-late terms in BioKET with terms in these ontologies. We demonstrate the usefulness of such a resource by applying FIST, a combined biclus-tering and conceptual association rule extraction method on a dataset extracted from BioKET to analyze the risk status of plants endemic to Laos. Besides, BioKET may be interfaced with other resources, like GeoCAT, to provide a powerful analysis tool for biodiversity data.
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Hendrik Blockeel; Matthijs van Leeuwen; Veronica Vinciotti. Advances in Intelligent Data Analysis XIII - 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 - November 1, 2014. Proceedings, Oct 2014, Leuven, Belgium. Springer, 8819, pp.131 - 142, 2014, Lecture Notes in Artificial Intelligence. <10.1007/978-3-319-12571-8_12>
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Dernière modification le : jeudi 20 novembre 2014 - 01:04:18
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Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia Da Costa Pereira. The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction. Hendrik Blockeel; Matthijs van Leeuwen; Veronica Vinciotti. Advances in Intelligent Data Analysis XIII - 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 - November 1, 2014. Proceedings, Oct 2014, Leuven, Belgium. Springer, 8819, pp.131 - 142, 2014, Lecture Notes in Artificial Intelligence. <10.1007/978-3-319-12571-8_12>. <hal-01084440>

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