Classifying and discovering scientific web services through ontologicial descriptions using decision logic reasoning.

Documents

• Chris Wroe, Robert Stevens, Carole Goble, Angus Roberts, Mark Greenwood (2003): A suite of DAML+OIL Ontologies to Describe Bioinformatics Web Services and Data. in International Journal of Cooperative Information Systems special issue on Bioinformatics, March 2003. ISSN: 0218-8430

Abstract: The growing quantity and distribution of bioinformatics resources means that finding and utilising them requires a great deal of expert knowledge, especially as many resources need to be tied together into a workflow to accomplish a useful goal. We want to formally capture at least some of this knowledge within a virtual workbench and middleware framework to assist a wider range of biologists in utilising these resources. Different activities require different representations of knowledge. Finding or substituting a service within a workflow is often best supported by a classification. Marshalling and configuring services is best accomplished using a formal description. Both representations are highly interdependent and maintaining consistency between the two by hand is difficult. We report on a description logic approach using the web ontology language DAML+OIL that uses property based service descriptions. The ontology is founded on DAML-S to dynamically create service classifications. These classifications are then used to support semantic service matching and discovery in a large grid based middleware project myGrid. We describe the extensions necessary to DAML-S in order to support bioinformatics service description; the utility of DAML+OIL in creating dynamic classifications based on formal descriptions; and the implementation of a DAML+OIL ontology service to support partial user-driven service matching and composition.

• mygrid_service_ontology_02.pdf:

Resources

• Building DAML+OIL Ontologies [ [http://oiled.man.ac.uk/building/] [Web Site] ]