Semantic Web

pp 355-395

Knowledge Discovery for Biology with Taverna

Producing and consuming semantics in the Web of Science
  • Carole GobleAffiliated withUniversity of Manchester
  • , Katy WolstencroftAffiliated withUniversity of Manchester
  • , Antoon GoderisAffiliated withUniversity of Manchester
  • , Duncan HullAffiliated withUniversity of Manchester
  • , Jun ZhaoAffiliated withUniversity of Manchester
  • , Pinar AlperAffiliated withUniversity of Newcastle
  • , Phillip LordAffiliated withUniversity of Newcastle
  • , Chris WroeAffiliated withBritish Telecom
  • , Khalid BelhajjameAffiliated withUniversity of Manchester
    • , Daniele TuriAffiliated withUniversity of Manchester
    • , Robert StevensAffiliated withUniversity of Manchester
    • , Tom OinnAffiliated withThe European Bioinformatics Institute
    • , David De RoureAffiliated withUniversity of Southampton

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Life Science research has extended beyond in vivo and in vitro bench-bound science to incorporate in silico knowledge discovery, using resources that have been developed over time by different teams for different purposes and in different forms. The myGrid project has developed a set of software components and a workbench, Taverna, for building, running and sharing workflows that link third party bioinformatics services, such as databases, analytic tools and applications. Intelligently discovering prior services, workflow or data is aided by a Semantic Web of annotations, as is the building of the workflows themselves. Metadata associated with the workflow experiments, the provenance of the data outcomes and the record of the experimental process need to be flexible and extensible. Semantic Web metadata technologies would seem to be well-suited to building a Semantic Web of provenance. We have the potential to integrate and aggregate workflow outcomes, and reason over provenance logs to identify new experimental insights, and to build and export a Semantic Web of experiments that contributes to Knowledge Discovery for Taverna users and for the scientific community as a whole.

Key words

workflow in silico services Web Services Semantic Web Taverna discovery publication provenance metadata annotation LSID ontology myGrid experiment Web e-Science