Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-78238-4_47 | Business Process Management Workshops |
Keywords | Field | DocType |
semantic grid resource selection,wide variety,semantic web technology,grid resource,dynamic characteristic,accurate grid resource matching,sparql-based set-matching,sparql query feature,standard rdf query language,semantic description,emerging technology,semantic grid,query language | Data mining,RDF query language,Information retrieval,Semantic Web Stack,Computer science,SPARQL,Semantic analytics,Semantic grid,Named graph,Grid,Semantic computing | Conference |
Volume | ISSN | ISBN |
4928 | 0302-9743 | 3-540-78237-0 |
Citations | PageRank | References |
2 | 0.53 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Said Mirza Pahlevi | 1 | 44 | 6.39 |
| Akiyoshi Matono | 2 | 79 | 10.05 |
| Isao Kojima | 3 | 143 | 20.38 |