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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIV: Special Issue on Consistency and Inconsistency in Data-Centric Applications 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 185 pages, height x width: 235x155 mm, weight: 3051 g, 34 Illustrations, black and white; IX, 185 p. 34 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10620
  • Izdošanas datums: 17-Oct-2017
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662559463
  • ISBN-13: 9783662559468
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIV: Special Issue on Consistency and Inconsistency in Data-Centric Applications 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 185 pages, height x width: 235x155 mm, weight: 3051 g, 34 Illustrations, black and white; IX, 185 p. 34 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10620
  • Izdošanas datums: 17-Oct-2017
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662559463
  • ISBN-13: 9783662559468
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783662559468.html
Keywords:
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.

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.