TY - JOUR T1 - Probabilistic object bases JF - ACM Trans. Database Syst. Y1 - 2001 A1 - Eiter,Thomas A1 - Lu,James J. A1 - Lukasiewicz,Thomas A1 - V.S. Subrahmanian KW - consistency KW - object-oriented database KW - probabilistic object algebra KW - probabilistic object base KW - probability KW - query language KW - Query optimization AB - Although there are many applications where an object-oriented data model is a good way of representing and querying data, current object database systems are unable to handle objects whose attributes are uncertain. In this article, we extend previous work by Kornatzky and Shimony to develop an algebra to handle object bases with uncertainty. We propose concepts of consistency for such object bases, together with an NP-completeness result, and classes of probabilistic object bases for which consistency is polynomially checkable. In addition, as certain operations involve conjunctions and disjunctions of events, and as the probability of conjunctive and disjunctive events depends both on the probabilities of the primitive events involved as well as on what is known (if anything) about the relationship between the events, we show how all our algebraic operations may be performed under arbitrary probabilistic conjunction and disjunction strategies. We also develop a host of equivalence results in our algebra, which may be used as rewrite rules for query optimization. Last but not least, we have developed a prototype probabilistic object base server on top of ObjectStore. We describe experiments to assess the efficiency of different possible rewrite rules. VL - 26 SN - 0362-5915 UR - http://doi.acm.org/10.1145/502030.502031 CP - 3 M3 - 10.1145/502030.502031 ER -