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Efficient Query Processing in Distributed RDF Databases
| Content Provider | Semantic Scholar |
|---|---|
| Author | Verheijen, Wendy |
| Copyright Year | 2008 |
| Abstract | The Semantic Web takes the concept of data integration in a mediator architecture to a new level. Since the distribution of data is not managed centrally, query processing over a set of autonomous data stores poses new challenges for query optimization. Because URIs provide a global resource identification mechanism and RDF data stores have no schema, all data stores can potentially have information about some resource. Improvement of the query processing performance is possible, however, when information about the overlap between data stores is available. This enables the mediator to avoid sending queries to data stores that return no relevant information, and to optimize the queries that are necessary. A query processing approach is introduced that takes advantage of the knowledge about structural properties of the data stores’ RDF graphs and the relationships between these graphs. The approach allows to balance completeness of the answer, total response time and first answer response time. A cost model and a prototype implementation are developed to evaluate the approach on various distributions and queries. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://pure.tue.nl/ws/files/46916912/635677-1.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
