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

569 | |

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### Common terms and phrases

algebra algorithm application Artificial Intelligence attributes basic binary relation Boolean Boolean algebra catchwords co-reference composition norm compute concept lattice concept node concept type conceptual graphs conceptual scales Conceptual Structures constraint Contextual Logic coreference database defined definition denoted derived description logic document domain elements entities equivalent example existential graphs Figure Formal Concept Analysis formulas graph homomorphism Heidelberg hierarchy hypothesis ICCS implementation implications inference interpretation knowledge base knowledge engineer knowledge representation label line diagram LNAI mapping mathematical natural language negation nested concept graphs notation object ontology operations paper Peirce power context family predicate problem projection PROLOG+CG properties proposition query RDF Schema referent relation node relation type represent retrieval rules schema semantics simple graphs SNePS Sowa specific Springer Springer-Verlag subset subsumption theory TOSCANA triadic concept graphs tuple vertex