{"title":"PDQ 2.0: Flexible Infrastructure for Integrating Reasoning and Query Planning: ACM SIGMOD Record: Vol 51, No 4","authors":"Michael Benedikt, Fergus Cooper, Stefano Germano, Gabor Gyorkei, Efthymia Tsamoura, Brandon Moore, Camilo Ortiz","doi":"https://dl.acm.org/doi/10.1145/3582302.3582308","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":501169,"journal":{"name":"ACM SIGMOD Record","volume":"1 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGMOD Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/https://dl.acm.org/doi/10.1145/3582302.3582308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
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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