PDQ 2.0

ACM SIGMOD Record Pub Date : 2023-01-09 DOI:10.1145/3582302.3582308

M. Benedikt, Fergus Cooper, Stefano Germano, Gabor Gyorkei, Efthymia Tsamoura, Brandon Moore, Camilo Ortiz

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引用次数: 0

摘要

基于推理的查询计划已经在许多上下文中进行了探索，包括关系数据集成、语义web和查询重新表述。但是在关系环境中构建基于推理的优化的基础设施发展缓慢。我们概述PDQ 2.0，这是一个支持许多推理增强查询任务的平台。我们主要关注PDQ 2.0的一个主要目标:为基于推理的查询优化获得更加模块化和灵活的体系结构。

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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PDQ 2.0

Reasoning-based query planning has been explored in many contexts, including relational data integration, the SemanticWeb, and query reformulation. But infrastructure to build reasoning-based optimization in the relational context has been slow to develop. We overview PDQ 2.0, a platform supporting a number of reasoningenhanced querying tasks. We focus on a major goal of PDQ 2.0: obtaining a more modular and flexible architecture for reasoning-based query optimization.

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ACM SIGMOD Record

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