Resource descriptions, ontology, and resource discovery

Authors:
Zoe Lacroix;Maliha Aziz
Affiliations:
Scientific Data Management Laboratory, Department of Electrical Engineering, Arizona State University, Tempe AZ 85281-/5706, USA/ Pharmaceutical Genomics Division, Translational Genomics Resear ...;Scientific Data Management Laboratory, Department of Electrical Engineering, Arizona State University, USA
Venue:
International Journal of Metadata, Semantics and Ontologies
Year:
2010

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Abstract

Resource discovery systems may assist scientists in the selection of bioinformatics resources suitable to implement scientific workflows. In this paper we address several problems related to resource discovery. They include resource publication formats, resource registration, and syntactic vs. semantic discovery. We analyse the BioMoby registry and present an algorithm that curates the BioMoby hierarchy into an ontology for use in semantic-driven resource discovery.