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Using OBDDs for Efficient Query Evaluation on Probabilistic Databases

机译:使用OBDD对概率数据库进行有效的查询评估

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We consider the problem of query evaluation for tuple independent probabilistic databases and Boolean conjunctive queries with inequalities but without self-joins. We approach this problem as a construction problem for ordered binary decision diagrams (OBDDs): Given a query q and a probabilistic database D, we construct in polynomial time an OBDD such that the probability of q(D) can be computed linearly in the size of that OBDD. This approach is applicable to a large class of queries, including the hierarchical queries, i.e., the Boolean conjunctive queries without self-joins that admit PTIME evaluation on any tuple-independent probabilistic database, hierarchical queries extended with inequalities, and non-hierarchical queries on restricted databases.
机译:我们考虑对元组独立的概率数据库和布尔不等式但不具有自联接的联合查询进行查询评估的问题。我们将此问题作为有序二进制决策图(OBDD)的构造问题进行处理:给定一个查询q和一个概率数据库D,我们在多项式时间内构造一个OBDD,以便可以在大小上线性计算q(D)的概率该OBDD。此方法适用于一大类查询,包括分层查询,即不具有自联接的布尔联合查询,允许在任何不依赖元组的概率数据库上进行PTIME评估,具有不等式扩展的分层查询以及基于非等式扩展的非分层查询受限制的数据库。

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