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Transactions on large-scale data- an...
~
Hameurlain, Abdelkader.
Transactions on large-scale data- and knowledge-centered systems XXXIV = special issue on consistency and inconsistency in data-centric applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Transactions on large-scale data- and knowledge-centered systems XXXIV/ edited by Abdelkader Hameurlain ... [et al.].
Reminder of title:
special issue on consistency and inconsistency in data-centric applications /
remainder title:
Transactions on large-scale data- and knowledge-centered systems 34
other author:
Hameurlain, Abdelkader.
Published:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2017.,
Description:
ix, 185 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Databases. -
Online resource:
http://dx.doi.org/10.1007/978-3-662-55947-5
ISBN:
9783662559475
Transactions on large-scale data- and knowledge-centered systems XXXIV = special issue on consistency and inconsistency in data-centric applications /
Transactions on large-scale data- and knowledge-centered systems XXXIV
special issue on consistency and inconsistency in data-centric applications /[electronic resource] :Transactions on large-scale data- and knowledge-centered systems 34edited by Abdelkader Hameurlain ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - ix, 185 p. :ill., digital ;24 cm. - Lecture notes in computer science,106200302-9743 ;. - Lecture notes in computer science ;6140..
Basic Postulates for Inconsistency Measures -- Batch Composite Transactions in Stream Processing -- Enhancing User Rating Database Consistency through Pruning -- A Second Generation of Peer-to-Peer Semantic Wikis -- Formalizing a Paraconsistent Logic in the Isabelle Proof Assistant -- A Proximity-Based Understanding of Conditionals -- Inconsistency-Tolerant Database Repairs and Simplified Repair Checking by Measure-Based Integrity Checking.
LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This volume, the 34th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue consisting of seven papers on the subject of Consistency and Inconsistency in Data-Centric Applications. The volume opens with an invited article on basic postulates for inconsistency measures. Three of the remaining six papers are revised, extended versions of papers presented at the First International Workshop on Consistency and Inconsistency, COIN 2016, held in conjunction with DEXA 2016 in Porto, Portugal, in September 2016. The other three papers were selected from submissions to a call for contributions to this edition. Each of the papers highlights a particular subtopic. However, all are concerned with logical inconsistencies that are either to be systematically avoided, or reasoned with consistently, i.e., without running the danger of an explosion of inferences.
ISBN: 9783662559475
Standard No.: 10.1007/978-3-662-55947-5doiSubjects--Topical Terms:
654213
Databases.
LC Class. No.: QA76.9.D32
Dewey Class. No.: 005.74
Transactions on large-scale data- and knowledge-centered systems XXXIV = special issue on consistency and inconsistency in data-centric applications /
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Basic Postulates for Inconsistency Measures -- Batch Composite Transactions in Stream Processing -- Enhancing User Rating Database Consistency through Pruning -- A Second Generation of Peer-to-Peer Semantic Wikis -- Formalizing a Paraconsistent Logic in the Isabelle Proof Assistant -- A Proximity-Based Understanding of Conditionals -- Inconsistency-Tolerant Database Repairs and Simplified Repair Checking by Measure-Based Integrity Checking.
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LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This volume, the 34th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue consisting of seven papers on the subject of Consistency and Inconsistency in Data-Centric Applications. The volume opens with an invited article on basic postulates for inconsistency measures. Three of the remaining six papers are revised, extended versions of papers presented at the First International Workshop on Consistency and Inconsistency, COIN 2016, held in conjunction with DEXA 2016 in Porto, Portugal, in September 2016. The other three papers were selected from submissions to a call for contributions to this edition. Each of the papers highlights a particular subtopic. However, all are concerned with logical inconsistencies that are either to be systematically avoided, or reasoned with consistently, i.e., without running the danger of an explosion of inferences.
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