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024 7 $a10.1007/978-3-642-29449-5
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035   $a(DE-He213)978-3-642-29449-5
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035   $a(PPN)168314576
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100   $a20120526d2012      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aGraph Structures for Knowledge Representation and Reasoning$b[electronic resource] $eSecond International Workshop, GKR 2011, Barcelona, Spain, July 16, 2011. Revised Selected Papers /$fedited by Madalina Croitoru, Sebastian Rudolph, Nic Wilson, John Howse, Olivier Corby
205   $a1st ed. 2012.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012.
215   $a1 online resource (VII, 209 p. 77 illus.)
225 1 $aLecture Notes in Artificial Intelligence ;$v7205
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-642-29448-0 
320   $aIncludes bibliographical references and index.
327   $aBayesian networks -- semantic networks -- conceptual graphs -- formal concept analysis -- cp-nets -- gai-nets --  euler diagrams -- existential graphs -- semantic Web -- recommender systems.-bioinformatics.
330   $aThis book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2011, held in Barcelona, Spain, in July 2011 as satellite event of IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence. The 7 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 12 submissions. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques and investigate further developments of knowledge representation and reasoning graph based techniques. Topics addressed are such as: bayesian networks, semantic networks, conceptual graphs, formal concept analysis, cp-nets, gai-nets, euler diagrams, existential graphs all of which have been successfully used in a number of applications (semantic Web, recommender systems, bioinformatics etc.).
410  0$aLecture Notes in Artificial Intelligence ;$v7205
606   $aArtificial intelligence
606   $aMathematical logic
606   $aAlgorithms
606   $aComputer logic
606   $aComputer programming
606   $aComputers
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048
606   $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021
606   $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X
606   $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010
606   $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013
615  0$aArtificial intelligence.
615  0$aMathematical logic.
615  0$aAlgorithms.
615  0$aComputer logic.
615  0$aComputer programming.
615  0$aComputers.
615 14$aArtificial Intelligence.
615 24$aMathematical Logic and Formal Languages.
615 24$aAlgorithm Analysis and Problem Complexity.
615 24$aLogics and Meanings of Programs.
615 24$aProgramming Techniques.
615 24$aComputation by Abstract Devices.
676   $a006.3
702   $aCroitoru$b Madalina$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aRudolph$b Sebastian$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aWilson$b Nic$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aHowse$b John$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aCorby$b Olivier$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a996465557203316
996   $aGraph Structures for Knowledge Representation and Reasoning$91903158
997   $aUNISA