Using OBDDs for Efficient Query Evaluation on Probabilistic Databases
نویسندگان
چکیده
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.
منابع مشابه
Probabilistic Databases with MarkoViews
Most of the work on query evaluation in probabilistic databases has focused on the simple tuple-independent data model, where tuples are independent random events. Several efficient query evaluation techniques exists in this setting, such as safe plans, algorithms based on OBDDs, treedecomposition and a variety of approximation algorithms. However, complex data analytics tasks often require com...
متن کاملRead-Once Functions and Query Evaluation in Probabilistic Databases
Probabilistic databases hold promise of being a viable means for large-scale uncertainty management, increasingly needed in a number of real world applications domains. However, query evaluation in probabilistic databases remains a computational challenge. Prior work on efficient exact query evaluation in probabilistic databases has largely concentrated on query-centric formulations (e.g., safe...
متن کاملGenerating efficient safe query plans for probabilistic databases
Managing uncertain information using probabilistic databases has drawn much attention recently in many fields such as information retrieval, multimedia database and sensor data management. Differing from conventional databases which maintain certain data, probabilistic databases manage data with probability. A query plan applicable to a conventional database may generate incorrect composite pro...
متن کاملEfficient Evaluation of HAVING Queries on a Probabilistic Database
We study the evaluation of positive conjunctive queries with Boolean aggregate tests (similar to HAVING queries in SQL) on probabilistic databases. Our motivation is to handle aggregate queries over imprecise data resulting from information integration or information extraction. More precisely, we study conjunctive queries with predicate aggregates using MIN, MAX, COUNT, SUM, AVG or COUNT(DISTI...
متن کاملA Trust Based Probabilistic Method for Efficient Correctness Verification in Database Outsourcing
Correctness verification of query results is a significant challenge in database outsourcing. Most of the proposed approaches impose high overhead, which makes them impractical in real scenarios. Probabilistic approaches are proposed in order to reduce the computation overhead pertaining to the verification process. In this paper, we use the notion of trust as the basis of our probabilistic app...
متن کامل