LEADER 05435nam 22008295 450 001 9910484801303321 005 20200703010515.0 010 $a3-642-04388-7 024 7 $a10.1007/978-3-642-04388-8 035 $a(CKB)1000000000772893 035 $a(SSID)ssj0000319908 035 $a(PQKBManifestationID)11252084 035 $a(PQKBTitleCode)TC0000319908 035 $a(PQKBWorkID)10338755 035 $a(PQKB)11731035 035 $a(DE-He213)978-3-642-04388-8 035 $a(MiAaPQ)EBC3064507 035 $a(PPN)139955631 035 $a(EXLCZ)991000000000772893 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aScalable Uncertainty Management$b[electronic resource] $eThird International Conference, SUM 2009, Washington, DC, USA, September 28-30, 2009, Proceedings /$fedited by Lluis Godo, Andrea Pugliese 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (X, 309 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v5785 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-04387-9 320 $aIncludes bibliographical references and index. 327 $aPrDB: Managing Large-Scale Correlated Probabilistic Databases (Abstract) -- Uncertainty in the Semantic Web -- Bridging the Gap between Abstract Argumentation Systems and Logic -- Modeling Unreliable Observations in Bayesian Networks by Credal Networks -- Interventions in Possibilistic Logic -- An Analysis of Sum-Based Incommensurable Belief Base Merging -- An Argument-Based Approach to Using Multiple Ontologies -- A Model Based on Possibilistic Certainty Levels for Incomplete Databases -- A Proposal for Making Argumentation Computationally Capable of Handling Large Repositories of Uncertain Data -- Making Sense of a Sequence of Events: A Psychologically Supported AI Implementation -- Explaining Inconsistencies in OWL Ontologies -- On Improving the Scalability of Checking Satisfiability in Probabilistic Description Logics -- Towards Relational Schema Uncertainty -- Aggregation of Trust for Iterated Belief Revision in Probabilistic Logics -- Fast and Accurate Prediction of the Destination of Moving Objects -- Weighted Description Logics Preference Formulas for Multiattribute Negotiation -- Probabilistic Planning with Imperfect Sensing Actions Using Hybrid Probabilistic Logic Programs -- Extended Fuzzy Logic Programs with Fuzzy Answer Set Semantics -- Finite Satisfiability in Infinite-Valued ?ukasiewicz Logic -- Compression of Probabilistic XML Documents -- Query Answering in Belief Logic Programming -- Towards Effective Elicitation of NIN-AND Tree Causal Models -- An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification. 330 $aThis volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009. It contains 21 technical papers which were selected out of 30 submitted papers in a rigourous reviewing process. The volume also contains extended abstracts of two invited talks. The volume reflects the growing interest in uncertainty and incosistency and aims at bringing together all those interested in the management of uncertainty and inconsistency at large. 410 0$aLecture Notes in Artificial Intelligence ;$v5785 606 $aArtificial intelligence 606 $aMathematical statistics 606 $aComputer programming 606 $aSoftware engineering 606 $aMathematical logic 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 608 $aKongress.$2swd 608 $aWashington (DC, 2009)$2swd 615 0$aArtificial intelligence. 615 0$aMathematical statistics. 615 0$aComputer programming. 615 0$aSoftware engineering. 615 0$aMathematical logic. 615 14$aArtificial Intelligence. 615 24$aProbability and Statistics in Computer Science. 615 24$aProgramming Techniques. 615 24$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aMathematical Logic and Formal Languages. 676 $a006.3 686 $aDAT 655f$2stub 686 $aDAT 703f$2stub 686 $aDAT 706f$2stub 686 $aDAT 773f$2stub 686 $aSS 4800$2rvk 702 $aGodo$b Lluis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPugliese$b Andrea$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910484801303321 996 $aScalable Uncertainty Management$9772490 997 $aUNINA