Repairing and Querying Databases under Aggregate Constraints

Repairing and Querying Databases under Aggregate Constraints PDF Author: Sergio Flesca
Publisher: Springer Science & Business Media
ISBN: 1461416418
Category : Computers
Languages : en
Pages : 66

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Book Description
Research has deeply investigated several issues related to the use of integrity constraints on relational databases. In particular, a great deal of attention has been devoted to the problem of extracting "reliable" information from databases containing pieces of information inconsistent with regard to some integrity constraints. In this manuscript, the problem of extracting consistent information from relational databases violating integrity constraints on numerical data is addressed. Aggregate constraints defined as linear inequalities on aggregate-sum queries on input data are considered. The notion of repair as consistent set of updates at attribute-value level is exploited, and the characterization of several data-complexity issues related to repairing data and computing consistent query answers is provided. Moreover, a method for computing “reasonable” repairs of inconsistent numerical databases is introduced, for a restricted but expressive class of aggregate constraints. An extension of this method for dealing with the data repairing problem in the presence of weak aggregate constraints which are expected to be satisfied, but not required to, is presented. Furthermore, a technique for computing consistent answers of aggregate queries in the presence of a wide form of aggregate constraints is provided. Finally, extensions of the framework as well as several open problems are discussed.

Repairing and Querying Databases under Aggregate Constraints

Repairing and Querying Databases under Aggregate Constraints PDF Author: Sergio Flesca
Publisher: Springer Science & Business Media
ISBN: 1461416418
Category : Computers
Languages : en
Pages : 66

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Book Description
Research has deeply investigated several issues related to the use of integrity constraints on relational databases. In particular, a great deal of attention has been devoted to the problem of extracting "reliable" information from databases containing pieces of information inconsistent with regard to some integrity constraints. In this manuscript, the problem of extracting consistent information from relational databases violating integrity constraints on numerical data is addressed. Aggregate constraints defined as linear inequalities on aggregate-sum queries on input data are considered. The notion of repair as consistent set of updates at attribute-value level is exploited, and the characterization of several data-complexity issues related to repairing data and computing consistent query answers is provided. Moreover, a method for computing “reasonable” repairs of inconsistent numerical databases is introduced, for a restricted but expressive class of aggregate constraints. An extension of this method for dealing with the data repairing problem in the presence of weak aggregate constraints which are expected to be satisfied, but not required to, is presented. Furthermore, a technique for computing consistent answers of aggregate queries in the presence of a wide form of aggregate constraints is provided. Finally, extensions of the framework as well as several open problems are discussed.

Database Repairs and Consistent Query Answering

Database Repairs and Consistent Query Answering PDF Author: Leopoldo Bertossi
Publisher: Springer Nature
ISBN: 3031018834
Category : Computers
Languages : en
Pages : 105

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Book Description
Integrity constraints are semantic conditions that a database should satisfy in order to be an appropriate model of external reality. In practice, and for many reasons, a database may not satisfy those integrity constraints, and for that reason it is said to be inconsistent. However, and most likely, a large portion of the database is still semantically correct, in a sense that has to be made precise. After having provided a formal characterization of consistent data in an inconsistent database, the natural problem emerges of extracting that semantically correct data, as query answers. The consistent data in an inconsistent database is usually characterized as the data that persists across all the database instances that are consistent and minimally differ from the inconsistent instance. Those are the so-called repairs of the database. In particular, the consistent answers to a query posed to the inconsistent database are those answers that can be simultaneously obtained from all the database repairs. As expected, the notion of repair requires an adequate notion of distance that allows for the comparison of databases with respect to how much they differ from the inconsistent instance. On this basis, the minimality condition on repairs can be properly formulated. In this monograph we present and discuss these fundamental concepts, different repair semantics, algorithms for computing consistent answers to queries, and also complexity-theoretic results related to the computation of repairs and doing consistent query answering. Table of Contents: Introduction / The Notions of Repair and Consistent Answer / Tractable CQA and Query Rewriting / Logically Specifying Repairs / Decision Problems in CQA: Complexity and Algorithms / Repairs and Data Cleaning

Scalable Uncertainty Management

Scalable Uncertainty Management PDF Author: Henri Prade
Publisher: Springer
ISBN: 3540754105
Category : Business & Economics
Languages : en
Pages : 286

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Book Description
This book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management, SUM 2007, held in Washington, DC, USA, in October 2007. The 20 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers address artificial intelligence researchers, database researchers and practitioners.

Scalable Uncertainty Management

Scalable Uncertainty Management PDF Author: Amol Deshpande
Publisher: Springer
ISBN: 3642159516
Category : Computers
Languages : en
Pages : 399

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Book Description
Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there is interest in developing and applying formalisms for uncertainty andinconsistency widelyin systems that need to better managethis data and knowledge. The annual International Conference on Scalable Uncertainty Management (SUM) has grown out of this wide-ranging interest in managing uncertainty and inconsistency in databases, the Web, the Semantic Web, and AI. It aims at bringing together all those interested in the management of large volumes of uncertainty and inconsistency, irrespective of whether they are in databases,the Web, the Semantic Web, or in AI, as well as in other areas such as information retrieval, risk analysis, and computer vision, where signi?cant computational - forts are needed. After a promising First International Conference on Scalable Uncertainty Management was held in Washington DC, USA in 2007, the c- ference series has been successfully held in Napoli, Italy, in 2008, and again in Washington DC, USA, in 2009.

Database Systems for Advanced Applications

Database Systems for Advanced Applications PDF Author: Weiyi Meng
Publisher: Springer
ISBN: 3642374875
Category : Computers
Languages : en
Pages : 509

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Book Description
This two volume set LNCS 7825 and LNCS 7826 constitutes the refereed proceedings of the 18th International Conference on Database Systems for Advanced Applications, DASFAA 2013, held in Wuhan, China, in April 2013. The 51 revised full papers and 10 short papers presented together with 2 invited keynote talks, 1 invited paper, 3 industrial papers, 9 demo presentations, 4 tutorials and 1 panel paper were carefully reviewed and selected from a total of 227 submissions. The topics covered in part 1 are social networks; query processing; nearest neighbor search; index; query analysis; XML data management; privacy protection; and uncertain data management; and in part 2: graph data management; physical design; knowledge management; temporal data management; social networks; query processing; data mining; applications; and database applications.

Current Trends in Database Technology - EDBT 2006

Current Trends in Database Technology - EDBT 2006 PDF Author: Torsten Grust
Publisher: Springer Science & Business Media
ISBN: 3540467882
Category : Computers
Languages : en
Pages : 961

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Book Description
This book constitutes the thoroughly refereed joint post-proceedings of nine workshops held as part of the 10th International Conference on Extending Database Technology, EDBT 2006, held in Munich, Germany in March 2006. The 70 revised full papers presented were selected from numerous submissions during two rounds of reviewing and revision.

Advances in Databases and Information Systems

Advances in Databases and Information Systems PDF Author: Barbara Catania
Publisher: Springer
ISBN: 3642155766
Category : Computers
Languages : en
Pages : 614

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Book Description
This volume contains the best papers presented at the 14th East-European C- ference on Advances in Databases and Information Systems (ADBIS 2010), held during September 20-24, 2010, in Novi Sad, Serbia. ADBIS 2010 continued the ADBIS series held in St. Petersburg (1997), Poznan (1998), Maribor (1999), Prague (2000), Vilnius (2001), Bratislava (2002), Dresden (2003), Budapest (2004), Tallinn (2005), Thessaloniki (2006), Varna (2007), Pori (2008), and Riga (2009). The main objective of the ADBIS series of conferences is to provide a forum for the dissemination of research acc- plishments and to promote interaction and collaboration between the database and information systems research communities from Central and East European countries and the rest of the world. The ADBIS conferences provide an inter- tional platform for the presentation of research on database theory, development of advanced DBMS technologies, and their advanced applications. ADBIS 2010 spans a wide area of interests, covering all major aspects related to theory and applications of database technology and information systems. Two di?erent submission lines were considered for ADBIS 2010, one within the classic track and another one within a special track organisation. ADBIS comprised ?ve tracks: 1. Conceptual Modeling in Systems Engineering (CMSE) 2. Data Mining and Information Extraction (DMIE) 3. Business Processes in E-Commerce Systems (e-commerce) 4. Personal Identi?able Information: Privacy, Ethics, and Security (PIIPES) 5.

ECAI 2020

ECAI 2020 PDF Author: G. De Giacomo
Publisher: IOS Press
ISBN: 164368101X
Category : Computers
Languages : en
Pages : 3122

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Book Description
This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

Database Programming Languages

Database Programming Languages PDF Author: Gavin Bierman
Publisher: Springer Science & Business Media
ISBN: 3540309519
Category : Business & Economics
Languages : en
Pages : 304

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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Database Programming Languages, DBPL 2005, held in Trondheim, Norway in August 2005 in conjunction with VLDB 2005 and in coordination with the XML Database Symposium, XSym 2005. The 17 revised full papers presented together with an invited paper were carefully selected during two round of reviewing and revision from 63 submissions. The papers are organized in topical sections on XML languages, XML and P2P data integration, XML query languages, types and XML, grammars, automata, and tree, as well as dependencies and constraints.

Database Theory – ICDT 2007

Database Theory – ICDT 2007 PDF Author: Thomas Schwentick
Publisher: Springer Science & Business Media
ISBN: 354069269X
Category : Computers
Languages : en
Pages : 429

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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Database Theory, ICDT 2007, held in Barcelona, Spain in January 2007. The 25 revised papers presented together with 3 invited papers were carefully reviewed and selected from 111 submissions. The papers are organized in topical sections on information integration and peer to peer, axiomatizations for XML, expressive power of query languages, incompleteness, inconsistency, and uncertainty, XML schemas and typechecking, stream processing and sequential query processing, ranking, XML update and query, as well as query containment.