LEADER 07268nam 22007575 450 001 9910768443203321 005 20200701085150.0 010 $a3-540-44663-X 024 7 $a10.1007/10722280 035 $a(CKB)1000000000548809 035 $a(SSID)ssj0000322208 035 $a(PQKBManifestationID)11213937 035 $a(PQKBTitleCode)TC0000322208 035 $a(PQKBWorkID)10299219 035 $a(PQKB)10323079 035 $a(DE-He213)978-3-540-44663-7 035 $a(MiAaPQ)EBC3088051 035 $a(PPN)155219898 035 $a(EXLCZ)991000000000548809 100 $a20121227d2000 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aConceptual Structures: Logical, Linguistic, and Computational Issues $e8th International Conference on Conceptual Structures, ICCS 2000 Darmstadt, Germany, August 14-18, 2000 Proceedings /$fedited by Bernhard Ganter, Guy W. Mineau 205 $a1st ed. 2000. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2000. 215 $a1 online resource (XII, 576 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v1867 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-67859-X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aConcepts and Language -- The Role of Conceptual Structure in Human Evolution -- Concepts in Linguistics ? Concepts in Natural Language -- Patterns, Schemata, and Types ? Author Support through Formalized Experience -- Conventions and Notations for Knowledge Representation and Retrieval -- Conceptual Ontology -- Ontology, Metadata, and Semiotics -- Pragmatically Yours, -- Conceptual Modeling for Distributed Ontology Environments -- Discovery of Class Relations in Exception Structured Knowledge Bases -- Conceptual Graphs: Perspectives -- CGs Applications : Where Are We 7 Years after the First ICCS? -- The Engineering of a CG-Based System: Fundamental Issues -- Conceptual Graphs, Metamodeling, and Notation of Concepts -- Knowledge Representation and Reasonings Based on Graph Homomorphism -- User Modelling Using Conceptual Graphs for Intelligent Agents -- Towards a Unified Querying System of Both Structured and Semi-structured Imprecise Data Using Fuzzy View -- Formal Semantics of Conceptual Structures -- The Extensional Semantics of the Conceptual Graph Formalism -- Semantics of Attribute Relations in Conceptual Graphs -- Nested Concept Graphs and Triadic Power Context Families -- Negations in Simple Concept Graphs -- Extending the CG Model by Simulations -- Contextual Logic and Formal Concept Analysis -- Building and Structuring Description Logic Knowledge Bases Using Least Common Subsumers and Concept Analysis -- On the Contextual Logic of Ordinal Data -- Boolean Concept Logic -- Lattices of Triadic Concept Graphs -- Formalizing Hypotheses with Concepts -- Generalized Formal Concept Analysis -- A Logical Generalizationof Formal Concept Analysis -- On the Treatment of Incomplete Knowledge in Formal Concept Analysis -- Conceptual Structures in Practice -- Logic-Based Networks: Concept Graphs and Conceptual Structures -- Conceptual Knowledge Discovery and Data Analysis -- CEM ? A Conceptual Email Manager -- A Contextual-Logic Extension of TOSCANA -- A Conceptual Graph Model for W3C Resource Description Framework -- Computational Aspects of Conceptual Structures -- Computing with Conceptual Structures -- Symmetry and the Computation of Conceptual Structures -- An Introduction to SNePS 3 -- Composition Norm Dynamics Calculation with Conceptual Graphs -- From PROLOG++ to PROLOG+CG: A CG Object-Oriented Logic Programming Language -- A Cost-Bounded Algorithm to Control Events Generalization. 330 $aComputerscientistscreatemodelsofaperceivedreality.ThroughAItechniques, these models aim at providing the basic support for emulating cognitive - havior such as reasoning and learning, which is one of the main goals of the AI research e?ort. Such computer models are formed through the interaction of various acquisition and inference mechanisms: perception, concept learning, conceptual clustering, hypothesis testing, probabilistic inference, etc., and are represented using di?erent paradigms tightly linked to the processes that use them. Among these paradigms let us cite: biological models (neural nets, genetic programming), logic-based models (?rst-order logic, modal logic, rule-based s- tems), virtual reality models (object systems, agent systems), probabilistic m- els(Bayesiannets,fuzzylogic),linguisticmodels(conceptualdependencygraphs, language-based representations), etc. OneofthestrengthsoftheConceptualGraph(CG)theoryisitsversatilityin terms of the representation paradigms under which it falls. It can be viewed and therefore used, under di?erent representation paradigms, which makes it a p- ular choice for a wealth of applications. Its full coupling with di?erent cognitive processes lead to the opening of the ?eld toward related research communities such as the Description Logic, Formal Concept Analysis, and Computational Linguistic communities. We now see more and more research results from one community enrich the other, laying the foundations of common philosophical grounds from which a successful synergy can emerge. 410 0$aLecture Notes in Artificial Intelligence ;$v1867 606 $aArtificial intelligence 606 $aComputers 606 $aComputer science?Mathematics 606 $aMathematical logic 606 $aAlgorithms 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028 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 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aComputer science?Mathematics. 615 0$aMathematical logic. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aMathematical Logic and Formal Languages. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aComputation by Abstract Devices. 676 $a003/.54 702 $aGanter$b Bernhard$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMineau$b Guy W$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Conference on Conceptual Structures 906 $aBOOK 912 $a9910768443203321 996 $aConceptual Structures: Logical, Linguistic, and Computational Issues$91930092 997 $aUNINA