Πgora: An Integration System for Probabilistic Data

Dan Olteanu, Lampros Papageorgiou, Sebastiaan J. van Schaik
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引用次数: 5

Abstract

Πgora is an integration system for probabilistic data modelled using different formalisms such as pc-tables, Bayesian networks, and stochastic automata. User queries are expressed over a global relational layer and are evaluated by Πgora using a range of strategies, including data conversion into one probabilistic formalism followed by evaluation using a formalism-specific engine, and hybrid plans, where subqueries are evaluated using engines for different formalisms. This demonstration allows users to experience Πgora on real-world heterogeneous data sources from the medical domain.
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Πgora:概率数据的集成系统
Πgora是一个集成系统,用于使用不同的形式化建模的概率数据,如pc表,贝叶斯网络和随机自动机。用户查询在全局关系层上表示,并通过Πgora使用一系列策略进行评估,包括将数据转换为一种概率形式,然后使用特定于形式的引擎进行评估,以及混合计划,其中使用不同形式的引擎对子查询进行评估。此演示允许用户在真实的医疗领域异构数据源上体验Πgora。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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