QUERY EVALUATION AND OPTIMIZATION IN DEDUCTIVE AND OBJECT-ORIENTED SPATIAL DATABASES

A deductive and object-oriented spatial (DOOS) database system enhance s a spatial. database system with deductive and object-oriented featur es. Two major kinds of computations co-exist in a DOOS database system : (1) spatial reasoning based on spatial relationships specified by sp atial (deduction) rules, and (2) spatial computation based on computat ionally intensive geometric algorithms (methods), The impedance mismat ch between set-oriented spatial query evaluation and tuple-oriented sp atial algorithmic computation poses a major challenge in the implement ation of such a system. This study attacks this problem in the followi ng three aspects: (1) deduction rule compilation and high-level, relat ional and gee-relational algebraic simplification; (2) query plan gene ration by dynamic connection graph analysis and access path selection; and (3) set-oriented processing of spatial methods, The study present s an integrated view on set-oriented query processing in deductive and object-oriented spatial database systems and leads to a set of spatia l query processing and optimization techniques which are useful not on ly at the processing of deductive and object-oriented spatial queries but also at the possible extensions towards query processing and optim ization in other deductive and object-oriented database systems contai ning both declaratively defined deduction rules and procedurally defin ed computational routines.