CombeChem: A Case Study in Provenance and Annotation Using the Semantic Web

  • Jeremy Frey
  • David De Roure
  • Kieron Taylor
  • Jonathan Essex
  • Hugo Mills
  • Ed Zaluska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4145)


The CombeChem e-Science project has demonstrated the advantages of using Semantic Web technology, in particular RDF and triplestores, to describe and link diverse and complex chemical information, covering the whole process of the generation of chemical knowledge from inception in the synthetic chemistry laboratory, through analysis of the materials made which generates physical measurements, computations based on this data to develop interpretations, and the subsequent dissemination of the knowledge gained. The project successfully adopted a strategy of capturing semantic annotations ‘at source’ and establishing schema and ontologies based closely on current operational practice in order to facilitate implementation and adoption. The resulting ‘Semantic Data Grid’ comprises around 45 million RDF triples across multiple stores.


Semantic Annotation Triple Store Chemical Identifier Work Form Section Semantic Support 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jeremy Frey
    • 1
  • David De Roure
    • 2
  • Kieron Taylor
    • 1
  • Jonathan Essex
    • 1
  • Hugo Mills
    • 2
  • Ed Zaluska
    • 2
  1. 1.School of ChemistryUniversity of SouthamptonSouthamptonUK
  2. 2.School of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK

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