Abstract
A deductive and object-oriented spatial (DOOS) database system enhances a spatial database system with deductive and object-oriented features. Two major kinds of computations co-exist in a DOOS database system: (1) spatial reasoning based on spatial relationships specified by spatial (deduction) rules, and (2) spatial computation based on computationally intensive geometric algorithms (methods). The impedance mismatch between set-oriented spatial query evaluation and tuple-oriented spatial algorithmic computation poses a major challenge in the implementation of such a system. This study attacks this problem in the following three aspects: (1) deduction rule compilation and high-level, relational and geo-relational algebraic simplification; (2) query plan generation by dynamic connection graph analysis and access path selection; and (3) set-oriented processing of spatial methods. The study presents an integrated view on set-oriented query processing in deductive and object-oriented spatial database systems and leads to a set of spatial query processing and optimization techniques which are useful not only at the processing of deductive and object-oriented spatial queries but also at the possible extensions towards query processing and optimization in other deductive and object-oriented database systems containing both declaratively defined deduction rules and procedurally defined computational routines.
Original language | English (US) |
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Pages (from-to) | 131-143 |
Number of pages | 13 |
Journal | Information and Software Technology |
Volume | 37 |
Issue number | 3 |
DOIs | |
State | Published - 1995 |
Externally published | Yes |
Keywords
- deductive and object-oriented databases
- geographical information systems
- query optimization
- query processing
- set-oriented spatial computation
- spatial databases
ASJC Scopus subject areas
- Software
- Information Systems
- Computer Science Applications