TITLE

Parallel Algorithms for the Generalized Same Generation Query in Deductive Databases

AUTHOR(S)
Arman, Nabil
PUB. DATE
September 2006
SOURCE
Journal of Digital Information Management;Sep2006, Vol. 4 Issue 3, p192
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The intelligence of traditional database systems can be improved by recursion. Using recursion, relational database systems are extended into knowledgebase systems (deductive database systems). Linear recursion is the most frequently found type of recursion in deductive databases. Deductive databases queries are computationally intensive and lend themselves naturally to parallelization to speed up the solution of such queries. In this paper, parallel algorithms to solve the generalized fully and partially instantiated forms of the same generation query in deductive databases are presented. The algorithms use special data structures, namely, a special matrix that stores paths from source nodes of the graph representing a two-attribute normalized database relation to all nodes reachable from these source nodes, and a reverse matrix that stores paths from any node to all source nodes related to that node.
ACCESSION #
22546395

 

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