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020 _a9783642357862
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024 7 _a10.1007/978-3-642-35786-2
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aConceptual Structures for Discovering Knowledge
_h[electronic resource] :
_b20th International Conference on Conceptual Structures, ICCS 2013, Mumbay, India, January 10-12, 2013, Proceedings /
_cedited by Heather D. Pfeiffer, Dmitry Ignatov, Jonas Poelmans, G. Nagarjuna.
250 _a1st ed. 2013.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXI, 333 p. 109 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7735
505 0 _aSyllogisms in Logic Teaching -- A Model to Compare and Manipulate Situations Represented as Semantically Labeled Graphs -- Analyzing Clusters and Constellations from Untwisting Shortened Links on Twitter Using Conceptual Graphs -- Taking SPARQL 1.1 Extensions Into Account in the SWIP System -- System Architecture to Implement a Conceptual Graphs Storage in an RDF Quad Store -- Medical Archetypes and Information Extraction Templates in Automatic Processing of Clinical Narratives -- Using Conceptual Structures in the Design of Computer-based Assessment Software -- Modeling Ontological Structures with Type Classes in Coq -- Parse Thicket Representation for Multi-sentence Search -- FCA-based Models and a Prototype Data Analysis System for Crowdsoursing Platforms -- The First-order Logical Environment -- Using Conceptual Graphs for Cross-Domain Inference in Context of Laws of Science -- Summarizing Conceptual Graphs for Automatic Summarization Task -- Model of Knowledge Representation Providing Processing Multidimensional Measurements in the Environment of Intelligent GIS -- Transformation of SBVR Business Rules to UML Class Model -- Concept Lattices of a Relational Structure -- Representing Median Networks with Concept Lattices -- Txt2vz: a New Tool for Generating Graph Clouds.
520 _aThis book constitutes the proceedings of the 20th International Conference on Conceptual Structures, ICCS 2013, held in Mumbai, India, in January 2013. The 22 full papers presented were carefully reviewed and selected from 43 submissions for inclusion in the book. The volume also contains 3 invited talks. ICCS focuses on the useful representation and analysis of conceptual knowledge with research and business applications. It advances the theory and practice in connecting the user's conceptual approach to problem solving with the formal structures that computer applications need to bring their productivity to bear. Conceptual structures (CS) represent a family of approaches that builds on the successes of artificial intelligence, business intelligence, computational linguistics, conceptual modeling, information and Web technologies, user modeling, and knowledge management.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aDiscrete mathematics.
_912873
650 0 _aDatabase management.
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650 0 _aInformation storage and retrieval systems.
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650 0 _aPattern recognition systems.
_93953
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aDiscrete Mathematics in Computer Science.
_931837
650 2 4 _aDatabase Management.
_93157
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aAutomated Pattern Recognition.
_931568
700 1 _aPfeiffer, Heather D.
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700 1 _aIgnatov, Dmitry.
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700 1 _aPoelmans, Jonas.
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700 1 _aNagarjuna, G.
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830 0 _aLecture Notes in Artificial Intelligence,
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