The efficiency of common subexpression identification is critical to the performance of multiple-query processing. In this paper, we develop a multigraph for representing and facilitating the processing of multiple queries. In addition to the traditional multiple-query processing approaches in exploiting common subexpressions for identical and subsumption cases, the proposed multigraph processing also covers the overlap case. A performance study shows the viability of this technique when compared to an earlier multigraph approach.
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