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024 7 _a10.1007/978-3-662-55947-5
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXXIV
_h[electronic resource] :
_bSpecial Issue on Consistency and Inconsistency in Data-Centric Applications /
_cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Hendrik Decker.
250 _a1st ed. 2017.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2017.
300 _aIX, 185 p. 34 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10620
505 0 _aBasic 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.
520 _aLNCS 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, the34th 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.
650 0 _aComputer science.
650 0 _aMachine theory.
650 0 _aLogic design.
650 0 _aOperating systems (Computers).
650 0 _aMicroprocessors.
650 0 _aComputer architecture.
650 1 4 _aComputer Science Logic and Foundations of Programming.
650 2 4 _aFormal Languages and Automata Theory.
650 2 4 _aLogic Design.
650 2 4 _aOperating Systems.
650 2 4 _aProcessor Architectures.
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKüng, Josef.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWagner, Roland.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDecker, Hendrik.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662559468
776 0 8 _iPrinted edition:
_z9783662559482
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10620
856 4 0 _uhttps://doi.org/10.1007/978-3-662-55947-5
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