Skip to main content
SpringerLink
Log in
Book cover

Conceptual Structures: Logical, Linguistic, and Computational Issues

8th International Conference on Conceptual Structures, ICCS 2000 Darmstadt, Germany, August 14-18, 2000 Proceedings

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Bernhard Ganter

    1. Institute of Algebra, University of Technology, Dresden, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Guy W. Mineau

    1. Département d’informatique et de génie logiciel, Université Laval, Pavillon Adrien-Pouliot, Quebec City, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1867)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICCS 2000.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (38 papers)

  1. Front Matter

    Download chapter PDF

  3. Conceptual Ontology

    1. Ontology, Metadata, and Semiotics

      • John F. Sowa
      Pages 55-81

    2. Pragmatically Yours,

      • Mary Keeler
      Pages 82-99

    3. Conceptual Modeling for Distributed Ontology Environments

      • Deborah L. McGuinness
      Pages 100-112

    4. Discovery of Class Relations in Exception Structured Knowledge Bases

      • Hendra Suryanto, Paul Compton
      Pages 113-126

  4. Conceptual Graphs: Perspectives

    1. CGs Applications : Where Are We 7 Years after the First ICCS?

      • Michel Chein, David Genest
      Pages 127-139

    2. The Engineering of a CG-Based System: Fundamental Issues

      • Guy W. Mineau
      Pages 140-156

    3. Conceptual Graphs, Metamodeling, and Notation of Concepts

      • Olivier Gerbé, Guy W. Mineau, Rudolf K. Keller
      Pages 157-171

    4. Knowledge Representation and Reasonings Based on Graph Homomorphism

      • Marie-Laure Mugnier
      Pages 172-192

    5. User Modelling Using Conceptual Graphs for Intelligent Agents

      • James F. Baldwin, Trevor P. Martin, Aimilia Tzanavari
      Pages 193-206

    6. Towards a Unified Querying System of Both Structured and Semi-structured Imprecise Data Using Fuzzy View

      • Patrice Buche, Ollivier Haemmerlé
      Pages 207-220

  5. Formal Semantics of Conceptual Structures

    1. The Extensional Semantics of the Conceptual Graph Formalism

      • Guy W. Mineau
      Pages 221-234

    2. Semantics of Attribute Relations in Conceptual Graphs

      • Pavel Kocura
      Pages 235-248

    3. Nested Concept Graphs and Triadic Power Context Families

      • Susanne Prediger
      Pages 249-262

    4. Negations in Simple Concept Graphs

      • Frithjof Dau
      Pages 263-276

    5. Extending the CG Model by Simulations

      • Jean-François Baget
      Pages 277-291
Back to top

Other volumes

  1. Conceptual Structures: Logical, Linguistic, and Computational Issues

Keywords

About this book

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.

Editors and Affiliations

  • Institute of Algebra, University of Technology, Dresden, Germany

    Bernhard Ganter

  • Département d’informatique et de génie logiciel, Université Laval, Pavillon Adrien-Pouliot, Quebec City, Canada

    Guy W. Mineau

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation