Title: Resource descriptions, ontology, and resource discovery

Authors: Zoe Lacroix, Maliha Aziz

Addresses: Scientific Data Management Laboratory, Department of Electrical Engineering, Arizona State University, Tempe AZ 85281-5706, USA; Pharmaceutical Genomics Division, Translational Genomics Research Institute, 13400 E. Shea Blvd, Scottsdale, AZ 85259, USA. ' Scientific Data Management Laboratory, Department of Electrical Engineering, Arizona State University, USA

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.

Keywords: scientific workflow; BioMoby; resource discovery; web services; ontology; resource descriptions; semantics; bioinformatics; resource publication formats; resource registration; syntactic discovery; semantic discovery.

DOI: 10.1504/IJMSO.2010.034044

International Journal of Metadata, Semantics and Ontologies, 2010 Vol.5 No.3, pp.194 - 207

Published online: 06 Jul 2010 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article