The myGrid ontology: bioinformatics service discovery

  • Authors:

  • K. Wolstencroft;P. Alper;D. Hull;C. Wroe;P. W. Lord;R. D. Stevens;C. A. Goble

  • Affiliations:

  • The School of Computer Science, University of Manchester, Manchester, M13 9PL, UK.;The School of Computer Science, University of Manchester, Manchester, M13 9PL, UK.;The School of Computer Science, University of Manchester, Manchester, M13 9PL, UK.;BT Global Services, London, UK.;The School of Computing Science, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, UK;The School of Computer Science, University of Manchester, Manchester, M13 9PL, UK;The School of Computer Science, University of Manchester, Manchester, M13 9PL, UK

  • Venue:
  • International Journal of Bioinformatics Research and Applications
  • Year:
  • 2007

Quantified Score

Hi-index 0.01

Visualization

Abstract

myGrid supports in silico experiments in the lifesciences, enabling the design and enactment of workflows as well asproviding components to assist service discovery, data and metadatamanagement. The myGrid ontology is one component in alarger semantic discovery framework for the identification of thehighly distributed and heterogeneous bioinformatics services in thepublic domain. From an initial model of formal OWL-DL semanticsthroughout, we now adopt a spectrum of expressivity and reasoningfor different tasks in service annotation and discovery. Here, wediscuss the development and use of the myGrid ontologyand our experiences in semantic service discovery.