Abstract | ||
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In the recent past, several peer-to-peer based RDF stores have emerged in order to cope with large amounts of RDF data that are queried by many clients concurrently. Efficient query evaluation is a central issue in order to exploit the benefits of such a decentralised approach. This paper shows how caching of intermediate results can significantly reduce the utilisation of network communication, which is currently among the most serious bottlenecks of Distributed Hash Table (DHT)-based RDF stores. The approach presented uses a combination of query shipping and online query planning to follow paths of cached intermediate results from previous queries. |
Year | DOI | Venue |
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2008 | 10.1504/IJMSO.2008.021207 | IJMSO |
Keywords | DocType | Volume |
cached intermediate result,online query,DHT-based RDF store,RDF data,Hash Table,previous query,RDF store,efficient query evaluation,query shipping,intermediate result,decentralised approach | Journal | 3 |
Issue | Citations | PageRank |
1 | 2 | 0.36 |
References | Authors | |
14 | 1 |
Name | Order | Citations | PageRank |
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Dominic Battré | 1 | 257 | 20.40 |