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The BioKET Biodiversity Data Warehouse: data and knowledge integration and extraction
Inthasone, S.; Pasquier, N.; Tettamanzi, A.G.B.; da Costa Pereira, C. (2014). The BioKET Biodiversity Data Warehouse: data and knowledge integration and extraction, in: Blockeel, H. et al. (Ed.) Advances in Intelligent Data Analysis XIII. Lecture Notes in Computer Science, 8819: pp. 131-142. https://hdl.handle.net/10.1007/978-3-319-12571-8_12
In: Blockeel, H. et al. (Ed.) (2014). Advances in Intelligent Data Analysis XIII. Lecture Notes in Computer Science, 8819. Springer International Publishing: Switzerland. ISBN 978-3-319-12570-1. xx, 394 pp. https://hdl.handle.net/10.1007/978-3-319-12571-8, more
In: Lecture Notes in Computer Science. Springer-Verlag: Heidelberg; Berlin. ISSN 0302-9743; e-ISSN 1611-3349, more
Peer reviewed article  

Available in  Authors 
Document type: Conference paper

Author keywords
    Biodiversity; Information Technology; Ontologies; Knowledge Integration; Data Mining

Authors  Top 
  • Inthasone, S.
  • Pasquier, N.
  • Tettamanzi, A.G.B.
  • da Costa Pereira, C.

Abstract
    Biodiversity datasets are generally stored in different formats. 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 relate terms in BioKET with terms in these ontologies. We demonstrate the usefulness of such a resource by applying FIST, a combined biclustering 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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