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Semantic Web Approach to Database Integration in the Life Sciences

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Semantic Web

Abstract

This chapter describes the challenges involved in the integration of databases storing diverse but related types of life sciences data. A major challenge in this regard is the syntactic and semantic heterogeneity of life sciences databases. There is a strong need for standardizing the syntactic and semantic data representations. We discuss how to address this by using the emerging Semantic Web technologies based on the Resource Description Framework (RDF) standard. This chapter presents two use cases, namely YeastHub and LinkHub, which demonstrate how to use the latest RDF database technology to build data warehouses that facilitate integration of genomic/proteomic data and identifiers.

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Author information

Authors and Affiliations

  1. Yale Center for Medical Informatics, Yale University, USA

    Kei-Hoi Cheung

  2. Anesthesiology, Yale University, USA

    Kei-Hoi Cheung

  3. Genetics, Yale University, USA

    Kei-Hoi Cheung

  4. Computer Science, Yale University, USA

    Kei-Hoi Cheung, Andrew K. Smith, Kevin Y. L. Yip & Mark B. Gerstein

  5. Molecular Biophysics and Biochemistry, Yale University, USA

    Mark B. Gerstein

  6. Computer Science and Software Engineering, Concordia University, Canada

    Christopher J. O. Baker

  7. Institute for Infocomm Research, Singapore

    Christopher J. O. Baker

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  1. Kei-Hoi Cheung
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  2. Andrew K. Smith
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  3. Kevin Y. L. Yip
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  4. Christopher J. O. Baker
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  5. Mark B. Gerstein
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Editor information

Editors and Affiliations

  1. Knowledge Discovery Department, Institute for Infocomm Research, Singapore

    Christopher J. O. Baker

  2. Center for Medical Informatics, Yale University School of Medicine, New Haven, CT, USA

    Kei-Hoi Cheung

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© 2007 Springer Science+Business Media, LLC

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Cheung, KH., Smith, A.K., Yip, K.Y.L., Baker, C.J.O., Gerstein, M.B. (2007). Semantic Web Approach to Database Integration in the Life Sciences. In: Baker, C.J.O., Cheung, KH. (eds) Semantic Web. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-48438-9_2

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