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  • × theme_ss:"Begriffstheorie"
  1. Nedobity, W.: Concepts versus meaning as reflected by the works of E. Wüster and L. Wittgenstein (1989) 0.00 
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    Abstract
    Attempts at evaluating the different methods of investigating the meaning of a term in the writings of L. Wittgenstein and E. Wüster. It is shown that Wittgenstein's view of meaning is in contrast to conceptual thinking. The differences in approach and result are pointed out. Parallels of semantic methods to the ones in conceptology are shown
    Type
    a
  2. Weissenhofer, P.: Conceptology in terminology : theory, semantics, and word-formation. A morpho-conceptually based approach to classification as exemplified by the English baseball terminology (1995) 0.00 
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    Abstract
    This dissertation from the University of Vienna contains the following chapters: (1) Conceptological aspects in terminology theory. Post-Wüsterian sign models and the four-field model. Vagueness, prototypes, and the four-field model. Morphological aspects of terminology and prototype theory. Word-formation and its role in terminology theory and conceptology. (2) A morpho-conceptual classification system of the English baseball terminology. The classification system. Statistical results. Conclusions
  3. Sowa, J.F.: Top-level ontological categories (1995) 0.00 
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    Abstract
    Surveys ontological questions that arise in artificial intelligence, some of the answers that have been proposed by various philosophers, and an application of the philosophical analysis to the clarification of some current issues in artificial intelligence. Charles Sanders Peirce and Alfred North Whitehead have developed the most complete systems of categories. Their analyses suggest a basic structure of categories that can provide some guidelines for the design of artificial intelligence systems
    Type
    a
  4. Conceptual structures : logical, linguistic, and computational issues. 8th International Conference on Conceptual Structures, ICCS 2000, Darmstadt, Germany, August 14-18, 2000 (2000) 0.00 
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    Abstract
    Computer scientists create models of a perceived reality. Through AI techniques, these models aim at providing the basic support for emulating cognitive behavior such as reasoning and learning, which is one of the main goals of the Al research effort. 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 different paradigms tightly linked to the processes that use them. Among these paradigms let us cite: biological models (neural nets, genetic programming), logic-based models (first-order logic, modal logic, rule-based systems), virtual reality models (object systems, agent systems), probabilistic models (Bayesian nets, fuzzy logic), linguistic models (conceptual dependency graphs, language-based rep resentations), etc. One of the strengths of the Conceptual Graph (CG) theory is its versatility in terms of the representation paradigms under which it falls. It can be viewed and therefore used, under different representation paradigms, which makes it a popular choice for a wealth of applications. Its full coupling with different cognitive processes lead to the opening of the field 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. ICCS 2000 embodies this spirit of research collaboration. It presents a set of papers that we believe, by their exposure, will benefit the whole community. For instance, the technical program proposes tracks on Conceptual Ontologies, Language, Formal Concept Analysis, Computational Aspects of Conceptual Structures, and Formal Semantics, with some papers on pragmatism and human related aspects of computing. Never before was the program of ICCS formed by so heterogeneously rooted theories of knowledge representation and use. We hope that this swirl of ideas will benefit you as much as it already has benefited us while putting together this program
    Content
    Concepts and Language: The Role of Conceptual Structure in Human Evolution (Keith Devlin) - Concepts in Linguistics - Concepts in Natural Language (Gisela Harras) - Patterns, Schemata, and Types: Author Support through Formalized Experience (Felix H. Gatzemeier) - Conventions and Notations for Knowledge Representation and Retrieval (Philippe Martin) - Conceptual Ontology: Ontology, Metadata, and Semiotics (John F. Sowa) - Pragmatically Yours (Mary Keeler) - Conceptual Modeling for Distributed Ontology Environments (Deborah L. McGuinness) - Discovery of Class Relations in Exception Structured Knowledge Bases (Hendra Suryanto, Paul Compton) - Conceptual Graphs: Perspectives: CGs Applications: Where Are We 7 Years after the First ICCS ? (Michel Chein, David Genest) - The Engineering of a CC-Based System: Fundamental Issues (Guy W. Mineau) - Conceptual Graphs, Metamodeling, and Notation of Concepts (Olivier Gerbé, Guy W. Mineau, Rudolf K. Keller) - Knowledge Representation and Reasonings: Based on Graph Homomorphism (Marie-Laure Mugnier) - User Modeling Using Conceptual Graphs for Intelligent Agents (James F. Baldwin, Trevor P. Martin, Aimilia Tzanavari) - Towards a Unified Querying System of Both Structured and Semi-structured Imprecise Data Using Fuzzy View (Patrice Buche, Ollivier Haemmerlé) - Formal Semantics of Conceptual Structures: The Extensional Semantics of the Conceptual Graph Formalism (Guy W. Mineau) - Semantics of Attribute Relations in Conceptual Graphs (Pavel Kocura) - Nested Concept Graphs and Triadic Power Context Families (Susanne Prediger) - Negations in Simple Concept Graphs (Frithjof Dau) - Extending the CG Model by Simulations (Jean-François Baget) - Contextual Logic and Formal Concept Analysis: Building and Structuring Description Logic Knowledge Bases: Using Least Common Subsumers and Concept Analysis (Franz Baader, Ralf Molitor) - On the Contextual Logic of Ordinal Data (Silke Pollandt, Rudolf Wille) - Boolean Concept Logic (Rudolf Wille) - Lattices of Triadic Concept Graphs (Bernd Groh, Rudolf Wille) - Formalizing Hypotheses with Concepts (Bernhard Ganter, Sergei 0. Kuznetsov) - Generalized Formal Concept Analysis (Laurent Chaudron, Nicolas Maille) - A Logical Generalization of Formal Concept Analysis (Sébastien Ferré, Olivier Ridoux) - On the Treatment of Incomplete Knowledge in Formal Concept Analysis (Peter Burmeister, Richard Holzer) - Conceptual Structures in Practice: Logic-Based Networks: Concept Graphs and Conceptual Structures (Peter W. Eklund) - Conceptual Knowledge Discovery and Data Analysis (Joachim Hereth, Gerd Stumme, Rudolf Wille, Uta Wille) - CEM - A Conceptual Email Manager (Richard Cole, Gerd Stumme) - A Contextual-Logic Extension of TOSCANA (Peter Eklund, Bernd Groh, Gerd Stumme, Rudolf Wille) - A Conceptual Graph Model for W3C Resource Description Framework (Olivier Corby, Rose Dieng, Cédric Hébert) - Computational Aspects of Conceptual Structures: Computing with Conceptual Structures (Bernhard Ganter) - Symmetry and the Computation of Conceptual Structures (Robert Levinson) An Introduction to SNePS 3 (Stuart C. Shapiro) - Composition Norm Dynamics Calculation with Conceptual Graphs (Aldo de Moor) - From PROLOG++ to PROLOG+CG: A CG Object-Oriented Logic Programming Language (Adil Kabbaj, Martin Janta-Polczynski) - A Cost-Bounded Algorithm to Control Events Generalization (Gaël de Chalendar, Brigitte Grau, Olivier Ferret)
  5. Ozeki, S.: Was ist der Begriff? (1987) 0.00 
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  6. Sowa, J.F.: Ontology, metadata, and semiotics (2000) 0.00 
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    Abstract
    The Internet is a giant semiotic system. It is a massive collection of Peirce's three kinds of signs: icons, which show the form of something; indices, which point to something; and symbols, which represent something according to some convention. But current proposals for ontologies and metadata have overlooked some of the most important features of signs. A sign has three aspects: it is (1) an entity that represents (2) another entity to (3) an agent. By looking only at the signs themselves, some metadata proposals have lost sight of the entities they represent and the agents - human, animal, or robot - which interpret them. With its three branches of syntax, semantics, and pragmatics, semiotics provides guidelines for organizing and using signs to represent something to someone for some purpose. Besides representation, semiotics also supports methods for translating patterns of signs intended for one purpose to other patterns intended for different but related purposes. This article shows how the fundamental semiotic primitives are represented in semantically equivalent notations for logic, including controlled natural languages and various computer languages
    Type
    a
  7. Diemer, A.: Gegenstandstheoretische Grundlagen der Klassifikation (1977) 0.00 
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  8. Harras, G.: Concepts in linguistics : concepts in natural language (2000) 0.00 
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    Abstract
    This paper deals with different views of lexical semantics. The focus is on the relationship between lexical expressions and conceptual components. First the assumptions about lexicalization and decompositionality of concepts shared by the most semanticists are presented, followed by a discussion of the differences between two-level-semants and one-level-semantics. The final part is concentrated on the interpretation of conceptual components in situations of communication
    Type
    a
  9. Simoes, G.; Machado, L.; Gnoli, C.; Souza, R.: Can an ontologically-oriented KO do without concepts? (2020) 0.00 
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    Abstract
    The ontological approach in the development of KOS is an attempt to overcome the limitations of the traditional epistemological approach. Questions raise about the representation and organization of ontologically-oriented KO units, such as BFO universals or ILC phenomena. The study aims to compare the ontological approaches of BFO and ILC using a hermeneutic approach. We found that the differences between the units of the two systems are primarily due to the formal level of abstraction of BFO and the different organizations, namely the grouping of phenomena into ILC classes that represent complex compounds of entities in the BFO approach. In both systems the use of concepts is considered instrumental, although in the ILC they constitute the intersubjective component of the phenomena whereas in BFO they serve to access the entities of reality but are not part of them.
    Type
    a
  10. Gipper, H.: Sprachliche Voraussetzungen wissenschaftlicher Begriffsbildung (1977) 0.00 
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  11. Dahlberg, I.: Begriffstheoretische Grundlagen der Klassifikation (1977) 0.00 
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  12. Nacke, O.: Über den Gebrauch des Wortes 'Begriff' (1977) 0.00 
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  13. Holenstein, E.: Klassifikation in natürlichen Sprachen (1989) 0.00 
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  14. Dahlberg, I.: Wissensorganisation und Wissensrepräsentation (1986) 0.00 
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  15. Winter, H.: Mathematikunterricht und Allgemeinbildung (1996) 0.00 
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  16. Conceptual structures : theory, tools and applications. 6th International Conference on Conceptual Structures, ICCS'98, Montpellier, France, August, 10-12, 1998, Proceedings (1998) 0.00 
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    Abstract
    This book constitutes the refereed proceedings of the 6th International Conference on Conceptual Structures, ICCS'98, held in Montpellier, France, in August 1998. The 20 revised full papers and 10 research reports presented were carefully selected from a total of 66 submissions; also included are three invited contributions. The volume is divided in topical sections on knowledge representation and knowledge engineering, tools, conceptual graphs and other models, relationships with logics, algorithms and complexity, natural language processing, and applications.
  17. Sechser, O.: Modi der Bedeutung von Elementarausdrücken in Retrieval-Sprachen (1979) 0.00 
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  18. Rahmstorf, G.: Wortmodell und Begriffssprache als Basis des semantischen Retrievals (2000) 0.00 
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  19. Rahmstorf, G.: Visualisierung : Vom Begriff zum Bild (1998) 0.00 
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  20. Budin, G.: Begriffliche Wissensorganisation in den Sozialwissenschaften : Theorien- und Methodenvielfalt (2006) 0.00 
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Authors

Years

Languages

  • d 94
  • e 80
  • m 6
  • ru 3
  • nl 1
  • pt 1
  • More… Less…

Types

  • a 168
  • m 9
  • s 7
  • el 4
  • n 1
  • p 1
  • x 1
  • More… Less…

Themes

Subjects

Classifications