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BioFuice: Mapping-Based Data Integration in Bioinformatics

  • Conference paper
Data Integration in the Life Sciences (DILS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4075))

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Abstract

We introduce the BioFuice approach for integrating data from different private and public data sources and ontologies. BioFuice follows a peer-to-peer-like data integration based on bidirectional mappings. Sources and mappings are associated with a domain model to support a semantically meaningful interoperability. BioFuice extends the generic iFuice integration platform which utilizes specific operators for data fusion and workflow-like script programs. BioFuice supports explorative data analysis and query and search capabilities. We outline the integration approach by an illustrating scenario, the architecture of BioFuice and its query interface.

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Author information

Authors and Affiliations

  1. University of Leipzig, Germany

    Toralf Kirsten & Erhard Rahm

Authors
  1. Toralf Kirsten
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  2. Erhard Rahm
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Editor information

Editors and Affiliations

  1. Humboldt-Universität zu Berlin,  

    Ulf Leser

  2. Humboldt-Universität zu Berlin, Unter den Linden 6, 10099, Berlin, Germany

    Felix Naumann

  3. IBM Application and Integration Middleware, 1475 Phoenixville Pike, 19380, West Chester, PA, USA

    Barbara Eckman

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© 2006 Springer-Verlag Berlin Heidelberg

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Kirsten, T., Rahm, E. (2006). BioFuice: Mapping-Based Data Integration in Bioinformatics. In: Leser, U., Naumann, F., Eckman, B. (eds) Data Integration in the Life Sciences. DILS 2006. Lecture Notes in Computer Science(), vol 4075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11799511_12

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  • DOI: https://doi.org/10.1007/11799511_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36593-8

  • Online ISBN: 978-3-540-36595-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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