Title: The ^myGrid ontology: bioinformatics service discovery

Authors: K. Wolstencroft, P. Alper, D. Hull, C. Wroe, P.W. Lord, R.D. Stevens, C.A Goble

Addresses: 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

Abstract: ^myGrid supports in silico experiments in the life sciences, enabling the design and enactment of workflows as well as providing components to assist service discovery, data and metadata management. The ^myGrid ontology is one component in a larger semantic discovery framework for the identification of the highly distributed and heterogeneous bioinformatics services in the public domain. From an initial model of formal OWL-DL semantics throughout, we now adopt a spectrum of expressivity and reasoning for different tasks in service annotation and discovery. Here, we discuss the development and use of the ^myGrid ontology and our experiences in semantic service discovery.

Keywords: service discovery; annotation; OWL; description logic; RDFS; in silico life cycle; ^myGrid ontology; bioinformatics; workflow design; data management; metadata management; semantics.

DOI: 10.1504/IJBRA.2007.015005

International Journal of Bioinformatics Research and Applications, 2007 Vol.3 No.3, pp.303 - 325

Published online: 04 Sep 2007 *

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