Abstract
A method, APEX, for query evaluation in deductive databases presented in this work is based on discovering of axioms and facts relevant to a given query. The notion of relevancy and migration of facts is derived from an analysis of data flow in the system. APEX is complete, and incorporates efficient query evaluation heuristics. Operation of APEX is illustrated by sample databases involving non-linear recursive axioms and cyclic relations. Main virtues of the method are its generality and adaptivity: it imposes no restrictions on the structure of axioms or the contents of relations, and it employs the knowledge of the actual data acquired at each step of a query evaluation.
| Original language | English |
|---|---|
| Pages (from-to) | 327-357 |
| Number of pages | 31 |
| Journal | Data and Knowledge Engineering |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - Mar 1992 |
Keywords
- Deductive databases
- data flow
- generation
- inference
- nonlinear recursion
- prudent evaluation
- relevant facts
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