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A Semantic Query Optimiser using Automatic Rule Derivation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lowden, Barry G. T. Robinson, Jerome Lim, Kee Yong |
| Copyright Year | 1995 |
| Abstract | Abstract: Semantic query optimization uses semantic knowledge to transform a query into another form that can be executed in a more efficient manner but still yields the same result as the original query. The semantic knowledge can be supplied by users or derived by the system.. In this paper, we describe the ARDOR semantic query optimizer with automatic rule derivation capabilities which, in recent field trials, has demonstrated significant reductions in query execution time. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dces.essex.ac.uk/staff/lowden/wits'95.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
