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020 _a9783319287027
_9978-3-319-28702-7
024 7 _a10.1007/978-3-319-28702-7
_2doi
050 4 _aQ334-342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aGraph Structures for Knowledge Representation and Reasoning
_h[electronic resource] :
_b4th International Workshop, GKR 2015, Buenos Aires, Argentina, July 25, 2015, Revised Selected Papers /
_cedited by Madalina Croitoru, Pierre Marquis, Sebastian Rudolph, Gem Stapleton.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aVII, 155 p. 48 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence ;
_v9501
_aLecture Notes in Computer Science
_v9501
505 0 _aDesigning a Knowledge Representation Tool for Subject Matter Structuring -- Aligning Experientially Grounded Ontologies using Language Games -- An overview of argumentation frameworks for decision support -- Learning Optimal Bayesian Networks with DAG Graphs -- Combinatorial results on directed hypergraphs for the SAT problem -- Conceptual Graphs for Formally Managing and Discovering Complementary Competences -- Subjective Networks: Perspectives and Challenges -- RDF-SQ: Mixing Parallel and Sequential Computation For Top-down OWL RL Inference -- Bring User Interest to Related Entity Recommendation.
520 _aThis book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2015, held in Buenos Aires, Argentina, in July 2015, associated with IJCAI 2015, the 24th International Joint Conference on Artificial Intelligence. The 9 revised full papers presented were carefully reviewed and selected from 10 submissions. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: argumentation; conceptual graphs; RDF; and representations of constraint satisfaction problems.
650 0 _aArtificial intelligence.
650 0 _aMathematical logic.
650 0 _aApplication software.
650 0 _aInformation storage and retrieval.
650 0 _aComputer communication systems.
650 0 _aMathematical statistics.
650 1 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aMathematical Logic and Formal Languages.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I16048
650 2 4 _aInformation Systems Applications (incl. Internet).
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18040
650 2 4 _aInformation Storage and Retrieval.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18032
650 2 4 _aComputer Communication Networks.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I13022
650 2 4 _aProbability and Statistics in Computer Science.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I17036
700 1 _aCroitoru, Madalina.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMarquis, Pierre.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRudolph, Sebastian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aStapleton, Gem.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319287010
776 0 8 _iPrinted edition:
_z9783319287034
830 0 _aLecture Notes in Artificial Intelligence ;
_v9501
830 0 _aLecture Notes in Computer Science ;
_v9501
856 4 0 _uhttps://doi.org/10.1007/978-3-319-28702-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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