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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
In general, the Magic Sets plus SemiNaive method is considered as the most powerful evaluation strategy for Datalog recursive queries. Our study shows that it can be further improved by our new solution. In this paper, we propose a systematic optimization technique which involves constant propagation, granularity size and evaluation order. Simulation shows that our solution is better than the traditional Magic Sets plus SemiNaive method.