LEADER 06287nam 22007695 450 001 996466050703316 005 20200630072628.0 010 $a3-642-40381-6 024 7 $a10.1007/978-3-642-40381-1 035 $a(CKB)3710000000019136 035 $a(SSID)ssj0001010895 035 $a(PQKBManifestationID)11933221 035 $a(PQKBTitleCode)TC0001010895 035 $a(PQKBWorkID)11018200 035 $a(PQKB)11133601 035 $a(DE-He213)978-3-642-40381-1 035 $a(MiAaPQ)EBC3093239 035 $a(PPN)172429420 035 $a(EXLCZ)993710000000019136 100 $a20130910d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aScalable Uncertainty Management$b[electronic resource] $e7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013, Proceedings /$fedited by Weiru Liu, V S Subrahmanian, Jef Wijsen 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XIV, 387 p. 43 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v8078 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-40380-8 327 $aArgumentation -- Analysis of dialogical argumentation via finite state machines -- What Can Argumentation Do for Inconsistent Ontology Query Answering? -- Enforcement in Argumentation is a kind of Update -- A Conditional Logic-Based Argumentation Framework -- Modelling Uncertainty in Persuasion -- On the implementation of a multiple output algorithm for defeasible argumentation -- A formal characterization of the outcomes of rule-based argumentation systems -- Bimodal Graphs for Meta-Argumentation with Argument Schemes -- Efficiently Estimating the Probability of Extensions in Abstract Argumentation -- AFs with Necessities : Further Semantics and Labelling Characterization -- Ranking-based semantics for argumentation frameworks -- A Logical Theory about Dynamics in Abstract Argumentation -- Belief Functions, Possibility Theory and their Applications -- Sound Source Localization from Uncertain Information using the Evidential EM Algorithm -- An Improvement of Subject Reacquisition by Reasoning and Revision -- Belief Functions: a Revision of Plausibility Conflict and Pignistic Conflict -- Bipolar possibility theory as a basis for a logic of desires and beliefs -- Databases -- A New Class of Lineage Expressions over Probabilistic Databases computable in P-time -- The Semantics of Aggregate Queries in Data Exchange Revisited -- PossDB: An Uncertainty Database Management System -- Aggregate Count Queries in Probabilistic Spatio-Temporal Databases -- Intelligent Data Analytics -- Approximate Reasoning about Generalized Conditional Independence with Complete Random Variables -- Combinatorial Prediction Markets: An Experimental Study -- A scalable learning algorithm for kernel probabilistic classifier -- Logics, Description Logic, and Semantic Web -- Privacy-Preserving Social Network Publication Based on Positional Indiscernibility -- On the implementation of a fuzzy DL solver over infinite-valued product logic with SMT solvers -- On the Merit of Selecting Different Belief Merging Operators -- Possibilistic DL-Lite -- Group Preferences for Query Answering in Datalog+/- Ontologies -- Reasoning with Semantic-Enabled Qualitative Preferences. 330 $aThis book constitutes the refereed proceedings of the 7th International Conference on Scalable Uncertainty Management, SUM 2013, held in Washington, DC, USA, in September 2013. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 57 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge. 410 0$aLecture Notes in Artificial Intelligence ;$v8078 606 $aArtificial intelligence 606 $aApplication software 606 $aInformation storage and retrieval 606 $aComputer communication systems 606 $aDatabase management 606 $aData mining 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aInformation storage and retrieval. 615 0$aComputer communication systems. 615 0$aDatabase management. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aInformation Storage and Retrieval. 615 24$aComputer Communication Networks. 615 24$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 676 $a006.3 702 $aLiu$b Weiru$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSubrahmanian$b V S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWijsen$b Jef$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466050703316 996 $aScalable Uncertainty Management$9772490 997 $aUNISA