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2010 IEEE International Conference on Services Computing
Supporting Geosciences Web Services Metadata Management and Discovery
Miami, Florida
July 05-July 10
ISBN: 978-0-7695-4126-6
| ASCII Text | x | ||
| Pearl Brazier, Artem Chebotko, Eric Gonzalez, Andrey Kashlev, Anthony Piazza, "Supporting Geosciences Web Services Metadata Management and Discovery," 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, pp. 625-626, 2010 IEEE International Conference on Services Computing, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/SCC.2010.27, author = {Pearl Brazier and Artem Chebotko and Eric Gonzalez and Andrey Kashlev and Anthony Piazza}, title = {Supporting Geosciences Web Services Metadata Management and Discovery}, journal ={2012 SC Companion: High Performance Computing, Networking Storage and Analysis}, volume = {0}, year = {2010}, isbn = {978-0-7695-4126-6}, pages = {625-626}, doi = {http://doi.ieeecomputersociety.org/10.1109/SCC.2010.27}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 SC Companion: High Performance Computing, Networking Storage and Analysis TI - Supporting Geosciences Web Services Metadata Management and Discovery SN - 978-0-7695-4126-6 SP625 EP626 A1 - Pearl Brazier, A1 - Artem Chebotko, A1 - Eric Gonzalez, A1 - Andrey Kashlev, A1 - Anthony Piazza, PY - 2010 KW - web services KW - metadata management KW - RDF KW - querying KW - SPARQL KW - database VL - 0 JA - 2012 SC Companion: High Performance Computing, Networking Storage and Analysis ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCC.2010.27
Geosciences Web portals are becoming increasingly important for supporting geoscientists in their research. The GEO-SEED portal is a repository of geosciences web services metadata, represented in Resource Description Framework (RDF), which supports management and discovery by machines and automated agents. This project uses SPARQL, the W3C standard for querying RDF, to support discovery of web services. SPARQL query performance becomes more critical as the amount of RDF metadata in the repository increases. Most existing RDF storage systems are based on relational database technology. The problem with most of these systems is that their query performance is limited by the use of fixed schema mapping strategies. In this paper, we present our system, called S2ST, which addresses this issue in the context of geosciences web services metadata management. Our experiments show that S2ST provides better SPARQL performance than existing relational RDF storage systems.
Index Terms:
web services, metadata management, RDF, querying, SPARQL, database
Citation:
Pearl Brazier, Artem Chebotko, Eric Gonzalez, Andrey Kashlev, Anthony Piazza, "Supporting Geosciences Web Services Metadata Management and Discovery," scc, pp.625-626, 2010 IEEE International Conference on Services Computing, 2010
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