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Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database.

Information systems --- 681.3*H24 --- 681.3*H28 --- 681.3*H28 Database applications --- Database applications --- 681.3*H24 Systems: concurrency; distributed systems; query processing; transaction processing (Database management) --- Systems: concurrency; distributed systems; query processing; transaction processing (Database management) --- Databases --- Probabilistic number theory --- Query languages (Computer science) --- Bases de données --- Nombres, Théorie probabiliste des --- Langages d'interrogation

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Mathematical logic --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- informatica --- informatiesystemen --- database management --- wiskunde --- KI (kunstmatige intelligentie) --- logica --- robots

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This volume collects the papers presented at the 11th International Conference onDatabaseTheory,ICDT2007,heldduringJanuary10-12,2007,inBarcelona, Spain. ICDT (http://alpha. luc. ac. be/?lucp1080/icdt/) now has a long tradition of international conferences, providing a biennial scienti?c forum for the com- nication of high-quality and innovative research results on theoretical aspects of all forms of data management systems and database technology. The conf- ence usually takes place in Europe, and previous conferences were held in Rome (1986),Bruges(1988),Paris(1990),Berlin(1992),Prague(1995),Delphi(1997), Jerusalem(1999),London(2001),Siena(2003)andEdinburgh(2005). ICDThas merged with the Symposium on Mathematical Fundamentals of Database S- tems (MFDBS), initiated in Dresden in 1987, and continued in Visegrad in 1989 and Rostock in 1991. This yearICDT received111papersubmissions (after 138titlesandabstracts were ?rst announced). Two of the papers were later withdrawn and one was rejected as it was 24 pages long (instead of 15). From the remaining 108 s- missions, the ICDT Program Committee selected 25 papers for presentation at the conference. Most of these papers were extended abstracts  and preliminary reports on work in progress. It is anticipated that most of these papers will - pear in a more polished form in scienti?c journals. The proceedings also contain three invited papers by Jan Chomicki, Cynthia Dwork, and Laura Haas. The Best Newcomer Award, for the best submission written solely by authors who had never published in earlier ICDT proceedings, was given by the Program Committee to Piotr Wieczorek for his paper Complexity of TypecheckingXML Views of Relational Databases.

Mathematical logic --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- informatica --- informatiesystemen --- database management --- wiskunde --- KI (kunstmatige intelligentie) --- logica --- robots

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It is our great pleasure to welcome you to the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems PODS 2019, held in Amsterdam, The Netherlands, on July 1- 3, 2019, in conjunction with the 2019 ACM SIGMOD International Conference on Management of Data. 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. The PODS Symposia study data management challenges in a variety of application contexts, including more recently parallel computation, streaming and realtime data, and graph data processing algorithms. PODS has a tradition of being the premier international conference on the theoretical and foundational aspects of data management, and the interested reader is referred to the web page https://databasetheory.org/pods for information on the history of this conference series. This year's symposium continues this tradition and invited for submission papers providing original, substantial contributions in one or more of the following categories: a deep theoretical exploration of topical areas central to data management; b new formal frameworks that aim at providing a basis for deeper theoretical investigation of important emerging issues in data management; and c validation of theoretical approaches from the lens of practical applicability in data management. Papers in this track should provide an experimental evaluation that gives new insight in established theories. Besides, they should provide a clear message to the database theory community as to which aspects need further theoretical investigation, based on the experimental findings. As in previous years, PODS operated with two submission cycles. The first cycle allowed for the possibility for papers to be revised and resubmitted. For the first cycle, 36 papers were submitted, 4 of which were directly selected for inclusion in the proceedings, and 8 were invited for a resubmission after a revision. The quality of the revised papers increased substantially with respect to the first submission, and all of the revised papers were selected for the proceedings. For the second cycle, 51 papers were submitted, 17 of which were selected, resulting in 29 papers selected overall from a total number of 87 submissions. The program committee invited two tutorials, by Alan Fekete University of Sydney and by Suresh Venkatasubrahmanian University of Utah. In addition, it selected two "Gems of PODS" speakers, Christos Papadimitriou Columbia University and Leopoldo Bertossi Carleton University. "Gems of PODS" is an event, started in 2016, whose goal is to promote understanding of past seminal PODS results to the general audience. The Gems of PODS papers were selected by the Gems of PODS committee consisting of Mahmoud Abo Khamis, Christoph Koch chair, Pierre Senellart, and Yufei Tao. This volume contains the proceedings of PODS 2019, which include papers on the keynote addressed by Cynthia Dwork of Harvard University, the two invited tutorials, one of the two Gems talks, and 29 contributions that were selected by the Program Committee for presentation at the symposium.

Database management

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With the development of the World-Wide Web, data management problems have branched out from the traditional framework in which tabular data is processed under the strict control of an application, and address today the rich variety of information that is found on the Web, considering a variety of ?exible envir- ments under which such data can be searched, classi ed , and processed. Da- base systems are coming forward today in a new role as the primary backend for the information provided on the Web. Most of today’s Web accesses trigger some form of content generation from a database, while electronic commerce often triggers intensive DBMS-based applications. The research community has begun to revise data models, query languages, data integration techniques, - dexes, query processing algorithms, and transaction concepts in order to cope with the characteristics and scale of the data on the Web. New problems have been identi ed , among them goal-oriented information gathering, management of semi-structured data, or database-style query languages for Web data, to name just a few. The International Workshop on the Web and Databases (WebDB) is a series of workshops intended to bring together researchers interested in the interaction between databases and the Web. This year’s WebDB 2000 was the third in the series, and was held in Dallas, Texas, in conjunction with the ACM SIGMOD International Conference on Management of Data.

Web databases --- World Wide Web --- Computer Science --- Engineering & Applied Sciences --- Information systems --- Popular works. --- Information technology. --- Business --- Computer communication systems. --- Database management. --- Information storage and retrieval. --- Computer science. --- Popular Science. --- Popular Computer Science. --- Database Management. --- Information Systems Applications (incl. Internet). --- Information Storage and Retrieval. --- Computer Communication Networks. --- IT in Business. --- Data processing. --- Informatics --- Science --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Distributed processing --- Information storage and retrieva. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Business—Data processing. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software