Abstract
Grid is an emerging technology that enables the sharing of a wide variety of resources. However, effective and accurate grid resource matching is difficult because of the dynamic characteristics and heterogeneity of grid resources. Grid resource matching mechanisms that utilize semantic Web technologies have been proposed to deal with this issue, although none support set matching of grid resources based on their semantic description. This paper proposes a novel set-matching algorithm that uses standard RDF query language SPARQL [1] to semantically match a set of grid resources and SPARQL query features to efficiently perform set matching. We evaluated the efficiency and effectiveness of the algorithm by performing a set of experiments and present the results.
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Pahlevi, S.M., Matono, A., Kojima, I. (2008). SPARQL-Based Set-Matching for Semantic Grid Resource Selection. In: ter Hofstede, A., Benatallah, B., Paik, HY. (eds) Business Process Management Workshops. BPM 2007. Lecture Notes in Computer Science, vol 4928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78238-4_47
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DOI: https://doi.org/10.1007/978-3-540-78238-4_47
Publisher Name: Springer, Berlin, Heidelberg
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