Conceptual Structures: Logical, Linguistic, and Computational Issues: 8th International Conference on Conceptual Structures, ICCS 2000 Darmstadt, Germany, August 14-18, 2000 Proceedings

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Computerscientistscreatemodelsofaperceivedreality.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.
 

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Contents

The Role of Conceptual Structure in Human Evolution
1
Concepts in Linguistics Concepts in Natural Language
13
Patterns Schemata and Types Author Support through Formalized Experience
27
Conventions and Notations for Knowledge Representation and Retrieval
41
Ontology Metadata and Semiotics
55
Pragmatically Yours
82
Conceptual Modeling for Distributed Ontology Environments
100
Discovery of Class Relations in Exception Structured Knowledge Bases
113
On the Contextual Logic of Ordinal Data
306
Boolean Concept Logic
317
Lattices of Triadic Concept Graphs
332
Formalizing Hypotheses with Concepts
342
Generalized Formal Concept Analysis
357
A Logical Generalization of Formal Concept Analysis
371
On the Treatment of Incomplete Knowledge in Formal Concept Analysis
385
Concept Graphs and Conceptual Structures
399

Where Are We 7 Years after the First ICCS?
127
Fundamental Issues
140
Conceptual Graphs Metamodeling and Notation of Concepts
157
Knowledge Representation and Reasonings Based on Graph Homomorphism
172
User Modelling Using Conceptual Graphs for Intelligent Agents
193
Towards a Unified Querying System of Both Structured and Semistructured Imprecise Data Using Fuzzy View
207
The Extensional Semantics of the Conceptual Graph Formalism
221
Semantics of Attribute Relations in Conceptual Graphs
235
A SituationBased Contextual Approach
249
Negations in Simple Concept Graphs
263
Extending the CG Model by Simulations
277
Building and Structuring Description Logic Knowledge Bases Using Least Common Subsumers and Concept Analysis
292
Conceptual Knowledge Discovery and Data Analysis
421
CEM A Conceptual Email Manager
438
A ContextualLogic Extension of TOSCANA
453
A Conceptual Graph Model for W3C Resource Description Framework
468
Computing with Conceptual Structures
483
Symmetry and the Computation of Conceptual Structures
496
An Introduction to SNePS 3
510
Composition Norm Dynamics Calculation with Conceptual Graphs
525
A CG ObjectOriented Logic Programming Language
540
A CostBounded Algorithm to Control Events Generalization
555
Author Index
569
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