{"title":"Database Theory Column Report on PODS 2019","authors":"Christoph E. Koch","doi":"10.1145/3374857.3374872","DOIUrl":null,"url":null,"abstract":"The 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2019) took place in Amsterdam, The Netherlands, from July 1 to July 3, 2019, in conjunction with the 2019 ACM SIGMOD International Conference on Management of Data. PODS focuses on theoretical aspects of data management, and the co-location with SIGMOD stimulates interaction between theory-oriented and systems-oriented research. Since the first edition of the symposium in 1982, the PODS papers are distinguished by a rigorous approach to widely diverse problems in data management, often bringing to bear techniques from a variety of different areas, including computational logic, finite model theory, computational complexity, algorithm design and analysis, programming languages, and artificial intelligence.","PeriodicalId":22106,"journal":{"name":"SIGACT News","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGACT News","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3374857.3374872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2019) took place in Amsterdam, The Netherlands, from July 1 to July 3, 2019, in conjunction with the 2019 ACM SIGMOD International Conference on Management of Data. PODS focuses on theoretical aspects of data management, and the co-location with SIGMOD stimulates interaction between theory-oriented and systems-oriented research. Since the first edition of the symposium in 1982, the PODS papers are distinguished by a rigorous approach to widely diverse problems in data management, often bringing to bear techniques from a variety of different areas, including computational logic, finite model theory, computational complexity, algorithm design and analysis, programming languages, and artificial intelligence.
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