Name
Abstract | ||
|---|---|---|
This paper describes the Adaptive Distributed Endpoint RDF Integration System (ADERIS), an adaptive, distributed query processor for integrating RDF data from multiple data resources supporting the SPARQL query language and protocol. The system allows a user to issue a federated query without any knowledge of the data contained in each endpoint and without specifying details of how the query should be executed. ADERIS relies on very limited information about each RDF data source to construct SPARQL source queries, the results of which are used to construct RDF predicate tables, which are integrated using pipelined index nested loop joins, the number and order of which may vary during query execution in order to reduce response time. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-12098-5_35 | DASFAA (2) |
Keywords | Field | DocType |
indexation,nested loops,integrable system,query language | Query optimization,Data mining,Blank node,Query language,RDF query language,Information retrieval,Query expansion,Computer science,Sargable,SPARQL,RDF Schema,Database | Conference |
Volume | ISSN | ISBN |
5982 | 0302-9743 | 3-642-12097-0 |
Citations | PageRank | References |
3 | 0.42 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Steven J. Lynden | 1 | 79 | 9.38 |
| Isao Kojima | 2 | 143 | 20.38 |
| Akiyoshi Matono | 3 | 79 | 10.05 |
| Yusuke Tanimura | 4 | 170 | 16.80 |