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03544nam a22006375i 4500 |
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|a 9783642294495
|9 978-3-642-29449-5
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|a 10.1007/978-3-642-29449-5
|2 doi
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|a Q334-342
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|a TJ210.2-211.495
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|a UYQ
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|a COM004000
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|a 006.3
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|a Graph Structures for Knowledge Representation and Reasoning
|h [electronic resource] :
|b Second International Workshop, GKR 2011, Barcelona, Spain, July 16, 2011. Revised Selected Papers /
|c edited by Madalina Croitoru, Sebastian Rudolph, Nic Wilson, John Howse, Olivier Corby.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2012.
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|a VII, 209 p. 77 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7205
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|a Bayesian networks -- semantic networks -- conceptual graphs -- formal concept analysis -- cp-nets -- gai-nets -- euler diagrams -- existential graphs -- semantic Web -- recommender systems.-bioinformatics.
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|a This 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.).
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|a Computer science.
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|a Computer programming.
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|a Computers.
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|a Algorithms.
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|a Computer logic.
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|a Mathematical logic.
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|a Artificial intelligence.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Mathematical Logic and Formal Languages.
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|a Algorithm Analysis and Problem Complexity.
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|a Logics and Meanings of Programs.
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|a Programming Techniques.
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|a Computation by Abstract Devices.
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|a Croitoru, Madalina.
|e editor.
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|a Rudolph, Sebastian.
|e editor.
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|a Wilson, Nic.
|e editor.
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|a Howse, John.
|e editor.
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|a Corby, Olivier.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783642294488
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830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7205
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|u http://dx.doi.org/10.1007/978-3-642-29449-5
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-LNC
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950 |
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|a Computer Science (Springer-11645)
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