Article Abstract

	Title:	The myGrid ontology: bioinformatics service discovery
	Author:	K. Wolstencroft, P. Alper, D. Hull, C. Wroe, P.W. Lord, R.D. Stevens, C.A Goble
	Address:	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
	Journal:	International Journal of Bioinformatics Research and Applications 2007 - Vol. 3, No.3  pp. 303 - 325
	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
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