An ontology to define the RDF namespace, concepts and relationships between concepts to be used for exporting glycomics data into a standardized representation using RDF. The ontology contains classes and predicates necessary for the diverse data types used in glycomics databases, and also reuses concepts from other well-established ontologies. The objective of GlycoRDF is to minimize the development of multiple RDF dialects that complicate the querying and mash-up of the information across several resources.
Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA; Research Center for Medical Glycoscience, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan; Faculty of Engineering, Soka University, Tokyo, Japan; Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia; Database Center for Life Science, Research Organization of Information and Systems, Chiba, Japan; Institute of Veterinary Physiology and Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany; Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan; N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russia; Laboratory of Glyco-organic Chemistry, The Noguchi Institute, Tokyo, Japan
GlycoRDF funding source(s)
This work was supported by the National Institute of General Medical Sciences (8P41GM103490); National Bioscience Database Center of Japan Science and Technology Agency (Integrated Database Project); Russian Foundation for Basic Research (N12-04-00324); Australian National eResearch Collaboration Tools and Resources (RT016).