Search (184 results, page 1 of 10)

  • × theme_ss:"Begriffstheorie"
  1. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.12 
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    Abstract
    Als Erfinder des «Allgemeinen» gilt, gemäß dem Bericht des Aristoteles und seit diesem Bericht, Sokrates. Er ist es, der nicht mehr danach suchte, woraus ein Ding zu dem geworden ist, was es ist, oder wie es entstanden ist, sondern danach, «was [ein Ding] ist», und somit ist Sokrates der erste gewesen, der die Herausarbeitung des Allgemeinen (?a?????) forderte und mit seinen Fragen seine Gesprächspartner zu dieser Herausarbeitung trieb bzw. lockte; die Definition (???sµ??) war das Ziel des sokratischen Gesprächs, und die sokratische Aporie war das Vehikel.
    Footnote
    DOI: 10.24894/HWPh.5033. Vgl. unter: https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27verw.allgemeinesbesonderes%27%5D__1515856414979.
  2. Sowa, J.F.: Ontology, metadata, and semiotics (2000) 0.05 
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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
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  3. Harras, G.: Concepts in linguistics : concepts in natural language (2000) 0.04 
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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
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  4. Gerbé, O.; Mineau, G.W.; Keller, R.K.: Conceptual graphs, metamodelling, and notation of concepts : fundamental issues (2000) 0.04 
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    Abstract
    Knowledge management, in particular corporate knowledge management, is a challenge companies and researchers have to meet. The conceptual graph formalism is a good candidate for the representation of corporate knowledge, and for the development of knowledge management systems. But many of the issues concerning the use of conceptual graphs as a metalanguage have not been worked out in detail. By introducing a function that maps higher level to lower level, this paper clarifies the metalevel semantics, notation and manipulation of concepts in the conceptual graph formalism. In addition, this function allows metamodeling activities to take place using the CG notation
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  5. Brandom, R.B.: Begründen und Begreifen : eine Einführung in den Inferentialismus (2016) 0.03 
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    Abstract
    Nach seinem bahnbrechenden Werk »Expressive Vernunft«, das Jürgen Habermas als »Meilenstein in der theoretischen Philosophie« bezeichnete, widmet sich Brandom in diesem Buch nun einem zentralen Thema seiner Philosophie, der Klärung des Gebrauchs und Gehalts von Begriffen. Zwei grundlegende Ideen sind dabei entscheidend: Über einen spezifischen begrifflichen Gehalt zu verfügen bedeutet für Brandom, eine bestimmte Rolle im Schlußfolgern zu spielen. Und: Die expressive Rolle des logischen Vokabulars liegt darin, die inferentiellen Beziehungen der Begriffe untereinander explizit zu machen. Ausgehend von diesen Thesen gelingt Brandom eine überraschende Klärung solch wichtiger philosophischer Probleme wie u.a. Normativität, die Intentionalität und Repräsentionalität des Denkens und Sprechens oder die Objektivität begrifflichen Gehalts. »Begründen und Begreifen« kann als Einführung in die Philosophie Brandoms gelesen werden.
    Classification
    CC 4800
    RVK
    CC 4800
  6. Conceptual structures : logical, linguistic, and computational issues. 8th International Conference on Conceptual Structures, ICCS 2000, Darmstadt, Germany, August 14-18, 2000 (2000) 0.02 
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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)
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  7. Schmitz-Esser, W.: EXPO-INFO 2000 : Visuelles Besucherinformationssystem für Weltausstellungen (2000) 0.02 
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    Abstract
    Das aktuelle Wissen der Welt im Spiegel einer Weltausstellung: Wie stellt man das dar und wie macht man es Interessierten zugänglich - in der Ausstellung, in Publikationen, im Funk und über das Internet? Was man alles auf einer Weltausstellung an der Schwelle zum dritten Jahrtausend sehen und erfahren kann, sprengt in Fülle und Vielfalt jeden individuell faßbaren Rahmen. Schmitz-Esser zeigt in seinem Buch, wie der Besucher wahlweise in vier Sprachen die Weltausstellung erleben und die Quintessenz davon mitnehmen kann. Ermöglicht wird dies durch das Konzept des virtuellen "Wissens in der Kapsel", das so aufbereitet ist, daß es in allen gängigen medialen Formen und für unterschiedlichste Wege der Aneignung eingesetzt werden kann. Die Lösung ist nicht nur eine Sache der Informatik und Informationstechnologie, sondern vielmehr auch eine Herausforderung an Informationswissenschaft und Computerlinguistik. Das Buch stellt Ziel, Ansatz, Komponenten und Voraussetzungen dafür dar.
    Content
    Willkommene Anregung schon am Eingang.- Vertiefung des Wissens während der Ausstellung.- Alles für das Wohlbefinden.- Die Systemstruktur und ihre einzelnen Elemente.- Wovon alles ausgeht.- Den Stoff als Topics und Subtopics strukturieren.- Die Nutshells.- Der Proxy-Text.Der Thesaurus.- Gedankenraumreisen.- Und zurück in die reale Welt.- Weitergehende Produkte.- Das EXPO-Infosystem auf einen Blick.- Register.- Literaturverzeichnis.
    Footnote
    Rez.in: KO 29(2002) no.2, S.103-104 (G.J.A. Riesthuis)
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Konzeption und Anwendung des Prinzips Thesaurus
  8. Ausgewählte Texte zur Terminologie (1993) 0.01 
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    Content
    Enthält u.a. die Beiträge: WÜSTER, E.: Terminologielehre; HAJUTIN, A.D.: Die verschiedenen Richtungen in der Terminologiearbeit; KOCOUREK, R.: Der Terminus und seine Definition; DROZD, L.: Zum Gegenstand und zur Methode der Terminologielehre; HORECKY, J.: Zu Bedeutungsbeziehungen zwischen den terminologischen Benennungen; FILIPEC, J.: Zur Spezifik des spezialsprachlichen Wortschatzes gegenüber dem allgemeinen Wortschatz; FILIPEC, J.: Zur Frage des Systems in der Terminologie; REFORMATSKIJ, A.A.: Was ist eine Benennung und was ist Terminologie?; SUPERANSKAJA, A.V.: Theoretische Terminologiearbeit; ZHURAVLEV, V.F. u. G.G. SAMBUROVA: Philosophisch-logische Aspekte der Terminologieregelung und -normung; ZHURAVLEV, V.F.: Einige logisch-methodologische Fragen der Regelung des Begriffsapparates und von Terminologien; NALEPIN, V.L.: Begriffsarten und Definitionsstruktur; WÜSTER, E.: Das Worten der Welt, schaubildlich und terminologisch dargestellt; WÜSTER, E.: Die Allgemeine Terminologielehre: ein Grenzgebiet zwischen Sprachwissenschaft, Logik, Ontologie, Informatik und den Sachwissenschaften; FELBER, H.: Einige Grundfragen der Terminologiewissenschaft aus der Sicht der Allgemeinen Terminologielehre; COLE, W.D.: Terminologie: Grundsätze und Methoden; SCHULZE, E.: Der Terminus: Eigenschaften und Wesen sowie seine Abgrenzung von anderen Lexemarten; PICHT, H.: Fachsprachliche Phraseologie; OESER, E.: Terminologie als Voraussetzung der Wissenstechnik; BUDIN, G., C. GALINSKI, W. NEDOBITY u. R. THALLER: Terminologie und die Wissensverarbeitung; PICHT, H. u. C. LAURÉN: Vergleich der terminologischen Schulen
  9. Klix, F.: ¬Die Natur des Verstandes (1992) 0.01 
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    Abstract
    Das Buch gründet eine neue Evolutionspsychologie menschlicher Erkenntnis. Es baut auf der biologischen Evolutionstheorie auf und führt von angeborenem Verhalten über Lernen weiter zur Analyse menschlicher Intelligenzleistungen, bis hin zu Weisheit und Wahn. Historische Impulsgeber zur Steigerung geistiger Leistungen in der Geschichte werden in Zusammenhang mit Elementen der modernen Chaostheorie behandelt.õDas Buch wendet sich an alle, die an einem tiefergehenden Verständnis der Evolution menschlicher Erkenntnis interessiert sind: an Psychologen, Pädagogen, Philosophen und Biologen.
    Content
    Inhalt: Teil I: Genesis des menschlichen Verstandes Kapitel 1: Vom angeborenen Erkennen zum gedanklichen Vorausspiel Kapitel 2: Von der Prädiktion zur Produktion von Umweltereignissen in der Geschichte Teil II: Wahrnehmendes Erkennen Kapitel 3: Weltausschnitt und Wahrnehmungsbild Teil III: Architektur und Dynamik des menschlichen Verstandes Kapitel 4: Komponenten des geistigen Lebens 4.0. Strukturen und Operationen - Quellen geistiger Vorgänge 4.1. Begründung einer Ökologie der Gedächtnisfunktionen 4.2. Quasi-stationäre Komponenten des menschlichen Gedächtnisses 4.3. Denken in Begriffen 4.4. Höhere kognitive Prozesse
    Kapitel 5: Die Dynamik des Verstandes 5.0. Erkenntnisprozesse in geistigen Vorgängen 5.1. Wechselwirkungen zwischen Begriffen und Operationen 5.2. Die Erkennung von Begriffsbeziehungen durch Vergleichsprozesse 5.3. Die Erkennung von Begriffsbeziehungen durch assoziative Anregungen 5.4. Ereignisbegriffe und die Stelligkeit von semantischen Relationen 5.5. Wechselwirkungen zwischen Wissensstrukturen 5.6. Über Einschlüsse von Emotionalität im Wissensbesitz und in mentalen Prozessen Kapitel 6: Verstandestätigkeit im Computer? 6.0. Computersimulation: Ein Irrweg oder Erkenntnismittel bei der Erforschung geistiger Vorgänge? 6.1. Computermodelle zur Wissensdeponierung und Wissensnutzung 6.2. Einige Probleme, die mit Spracherkennung zu tun haben 6.3. Was heißt Sprachverstehen und was bedeutet dann Computersimulation? Teil IV: Erkenntnis und Persönlichkeit Kapitel 7: Intelligenz, Begabung und Kreativität Kap. 8: An den Grenzen des menschlichen Verstandes
    Date
    3. 3.2008 16:36:29
  10. Seiler, T.B.: Begreifen und Verstehen (2001) 0.01 
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    Abstract
    Wissen ist wichtig. Heutzutage sind es gerade Wirtschaftsunternehmen, die erkannt haben, dass sie auf Kenntnisse und Bildung ihrer Mitarbeiter nicht verzichten können. Wissen tritt gleichberechtigt an die Seite von Arbeit und Kapital Gemeinsam bilden sie das Fundament für moderne Industrieunternehmen. Aber was ist eigentlich Wissen? Wie wird Wissen erworben und weitergegeben? Dies sind Fragen, auf die schon viele sehr unterschiedliche Antworten gegeben worden sind. Scheinbar selbstverständliche Vorgänge, wie Verstehen und Erkennen berühren in Wahrheit die Grundlagen unseres Denkens, und wie Denken eigenlich vor sich geht; ist trotz aller Erklärungsversuche der Biochemiker nicht zufrieden stellend beantwortet. Der Psychologe Thomas Bernhard Seiler lässt denn auch in seinem Buch "Begreifen und Verstehen" die biologischen Modelle außen vor. Er geht davon aus, dass Verstehen der Vorgang des Erkennens ist. 'Erkennen' aber in eine Vielzahl von einzelnen Prozessen zerfällt. Die Stücke und Einheiten, aus denen der Erkenntnisvorgang besteht, nennt Seiler "Begriffe". Wissen besteht demnach aus Begriffen. "Begriff" ist sein zentraler Begriff, und an diesem Satz wird deutlich, wie schwierig das Terrain ist, auf dem Seiler sich bewegt, denn die Erklärung solcher Worte wie "Begriff" enthält oft das zu erklärende Wort selbst. Er meistert diese Aufgabe in bewundernswert klarer und verständlicher Sprache, wobei sein Buch aber durchaus nicht einfach zu lesen ist - konzentriertes Mitdenken ist gefordert, wenn Seller seine Leser von überschaubaren ersten Definitionen zum Zeichencharakter von Sprache und dann zu den Begriffstheorien der Philosophie und Psychologie führt. Populärwissenschaft ist das nicht, wohl aber Wissenschaft für Leute mit solider Schulbildung. Trotz aller Theorie stellt Seiler auch immer wieder den Menschen in den Mittelpunkt und macht deutlich, dass dieser eben nicht programmierbar Ist wie ein Computer. Begriffsbildung, also die Aneignung von Wissen, ist in Wahrheit höchst komplex und sehr individuell.
  11. Wüster, E.: Begriffs- und Themaklassifikation : Unterschiede in ihrem Wesen und in ihrer Anwendung (1971) 0.01 
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    Source
    Nachrichten für Dokumentation. 22(1971) H.3, S.98-104 (T.1); H.4, S.143-150 (T.2)
  12. Klein, W.: Organisation des Wissens durch Sprache : Konsequenzen für die maschinelle Sprachanalyse (1977) 0.01 
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    Abstract
    Das Wissen, das sich die Menschen zu einer bestimmten Zeit erworben haben glauben, wird weiterhin mit Hilfe der natürlichen Sprache festgehalten ("kodifiziert") und weitervermittelt. Zu diesem in natürlich-sprachlichen Äußerungen kodifizierten Wissen hat man jedoch mit einem Computer kaum direkten Zugang. Zwar bemüht man sich seit vielen Jahren mit zum Teil erheblichem Aufwand um beispielsweise automatische Informationserschließung, maschinelle Sprachübersetzung und Mensch-Maschine-Dialoge in natürlicher Sprache, aber die Ergebnisse sind bescheiden. Verantwortlich für den in diesen Bereichen vergleichsweise geringen Erfolg sind verschiedene Eigenschaften der natürlichen Sprachen, die - im Gegensatz zu formalen Sprachen (wie Programmiersprachen, gängige logische Sprachen) - die maschinelle Informationserschließung erschweren
  13. Gerstenkorn, A.: Informationsbezug zwischen Gemein- und Fachsprache : Zum gemein- und fachsprachlichen Wort "Tal" (2006) 0.01 
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    Abstract
    Dokumentationssprachen setzen Terminologien und Ontologien ein. Terminologien enthalten viele Ausdrücke, die auch in der Alltagssprache (Gemeinsprache) benutzt werden. Handelt es sich hier um unterschiedlich exakt erklärte Ausdrücke oder um Polyseme? Das Wort "Tal" soll als Beispiel für diese Frage dienen und auch ein Beispiel für den Aufbau von Ontologien zum Zwecke der Dokumentation abgeben.
    Date
    20. 8.2006 16:29:27
    Source
    Information - Wissenschaft und Praxis. 57(2006) H.5, S.259-267
  14. Miller, G.A.: Wörter : Streifzüge durch die Psycholinguistik (1993) 0.01 
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    Abstract
    Wörter sind der sprachliche Ausdruck unseres Denkens, von uns selbst geschaffen, und doch etwas, das wir selten einer näheren Betrachtung unterziehen. Dabei kann uns gerade diese Betrachtung einiges darüber sagen, was in unseren Gehirnen vor sich geht. Die Sprachforschung hat in den letzten Jahrzehnten durch die Ansätze der Kognitionspsychologie neuen Schwung bekommen - und Georg A. Miller hat als einer der Begründer der modernen Psycholinguistik einen nicht unwesentlichen Anteil daran gehabt. In diesem Buch erzühlt er, oft geürzt mit seinem ganz besonderen Humor, was die Linguistik im Reich der Wörter so alles entdeckt hat. Miller führt dem Leser die verschiedenen Seiten von Wörtern vor Augen; jedes einzelne davon ist das Zusammenspiel einer Äußerung - in der phonetischen Aussprache - , einer Bedeutung - in der Semantik - und einer Rolle im Satz - in der Syntax. Diese drei Seiten sieht Miller als Einheit, wobei er dem Leser die Theorien und Methoden, mit denen die Forschung den Wörtern zu Leibe rückt, anschaulich vorstellt
    BK
    18.00 / Einzelne Sprachen und Literaturen allgemein
    Classification
    ER 955 Allgemeine und vergleichende Sprach- und Literaturwissenschaft. Indogermanistik. Außereuropäische Sprachen und Literaturen / Allgemeine Sprachwissenschaft / Sprachpsychologie. Psycholinguistik / Sprechen und Denken, Kompetenz und Performanz, Pragmatik / Einzelfaktoren (Ausdrucksfähigkeit, Kreativität, Sprachgefühl, Intuition, assoziatives Sprechen (Kollokation), Sprechmechanismen)
    ET 500 Allgemeine und vergleichende Sprach- und Literaturwissenschaft. Indogermanistik. Außereuropäische Sprachen und Literaturen / Einzelgebiete der Sprachwissenschaft, Sprachbeschreibung / Semantik und Lexikologie / Lexikologie (diachrone und synchrone)
    18.00 / Einzelne Sprachen und Literaturen allgemein
    Footnote
    Originaltitel: The science of words
    RVK
    ER 955 Allgemeine und vergleichende Sprach- und Literaturwissenschaft. Indogermanistik. Außereuropäische Sprachen und Literaturen / Allgemeine Sprachwissenschaft / Sprachpsychologie. Psycholinguistik / Sprechen und Denken, Kompetenz und Performanz, Pragmatik / Einzelfaktoren (Ausdrucksfähigkeit, Kreativität, Sprachgefühl, Intuition, assoziatives Sprechen (Kollokation), Sprechmechanismen)
    ET 500 Allgemeine und vergleichende Sprach- und Literaturwissenschaft. Indogermanistik. Außereuropäische Sprachen und Literaturen / Einzelgebiete der Sprachwissenschaft, Sprachbeschreibung / Semantik und Lexikologie / Lexikologie (diachrone und synchrone)
  15. Bauer, G.: ¬Die vielseitigen Anwendungsmöglichkeiten des Kategorienprinzips bei der Wissensorganisation (2006) 0.01 
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    Abstract
    Fast alle berühmten Philosophen der letzten Jahrhunderte haben sich mit den allgemeinen Begriffen befasst und sie sehr unterschiedlich formuliert und interpretiert. Eine Auswahl philosophischer Kategorien: - Platon (427-347): Sein, Identität, Verschiedenheit, Veränderung, Beharrung - Aristoteles (384-322): Substanz, Qualität, Quantität, Relation, Ort. Haben, Tun, Leiden - Kant (1724-1804): Qualität, Quantität, Relation, Modalität - Lotze (1891): Ding, Eigenschaft, Tätigkeit, Relation Unter Kategorien versteht man die allgemeinsten Stammbegriffe des Verstandes, unter welchen alle Gegenstände der Erfahrung fallen und von denen die übrigen Begriffe abgeleitet werden können. Für die Informationspraxis sind die ursprünglichen philosophischen Kategorien modifiziert worden.
    Pages
    S.22-33
    Series
    Fortschritte in der Wissensorganisation; Bd.9
    Source
    Wissensorganisation und Verantwortung: Gesellschaftliche, ökonomische und technische Aspekte. Proceedings der 9. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Duisburg, 5.-7. November 2004. Hrsg. von H.P. Ohly u.a
  16. Schantz, R.: Sinnliche versus begriffliche Repräsentation (1998) 0.01 
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    Abstract
    Eine überzeugende Verteidigung der Repräsentationstheorie des Geistes erfordert eine prinzipielle Unterscheidung zwischen zwei Arten von Repräsentationen: zwischen sinnlichen und begrifflichen Repräsentationen. Zunächst werde ich mich mit Auffassungen befassen, die sich einer klaren Trennung zwischen sinnlichen und kognitiven Prozessen widersetzen. Im Zentrum der Debatte stehen die von David Armstrong, George Pitcher und Daniel Dennett vertretenen Glaubenstheorien der sinnlichen Erfahrung. Diese Autoren versuchen, die Erfahrung auf ein epistemisches Begriffsrepertoire zurückzuführen, indem sie sie mit dem Erwerb von Meinungen, Neigungen zu Meinungen, unterdrückten Neigungen zu Meinungen oder unbewußten Meinungen über die Dinge identifizieren. Ich zeige, daß epistemische Analysen der Erfahrung zum Scheitern verurteilt sind, weil Meinungen, Urteile oder Gedanken für die Erfahrung nicht wesentlich sind. Erfahrungen rufen zwar im allgemeinen Meinungen hervor, aber sie sind nicht auf Meinungen zurückführbar. Obwohl wir gewöhnlich eine Reihe von Meinungen über die Gegenstände, die wir wahrnehmen, erwerben, so ist doch die Wahrnehmung in ihrem grundlegenden Sinn von solchen Meinungen logisch unabhängig. Nach der Kritik an den Glaubenstheorien der sinnlichen Erfahrung arbeite ich den wesentlichen Unterschied zwischen der sinnlichen Wahrnehmung und Erfahrung einerseits und Überzeugungen, Urteilen und Gedanken andererseits, kurzum zwischen sinnlichen und begrifflichen Repräsentationen, heraus. Der Unterschied zwischen einer sinnlichen und einer begrifflichen Repräsentation kann durch den Unterschied zwischen einem Bild von einem Sachverhalt und einer Aussage über diesen Sachverhalt illustriert werden. Schließlich lege ich dar, daß und wie man den bildhaften, piktorialen Charakter von sinnlichen Repräsentationen ernst nehmen kann, ohne sich dadurch zu der mysteriösen Annahme verleiten zu lassen, daß die Erfahrung Bilder im Geiste oder im Kopf beinhaltet.
    Date
    5.10.2001 13:29:15
    Series
    Fortschritte in der Wissensorganisation; Bd.5
  17. Priß, U.: Relational concept analysis : semantic structures in dictionaries and lexical databases (1998) 0.01 
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    Series
    Berichte aus der Informatik
  18. Rahmstorf, G.: Bedeutungsdefinition und Wortumfeld (1993) 0.01 
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    Series
    Sprache, System und Tätigkeit; 10
    Source
    Wortschatz, Satz, Text. Beiträge der Konferenzen in Greifswald und Neubrandenburg 1992. Hrsg.: G. Bartels u. I. Pohl
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  19. Lamnek, S.: Ordnung und Wahrhaftigkeit versus Realitätsadäquanz und Erkenntnisfortschritt? : Sozialwissenschaftliche Begriffskultur zwischen Szylla und Charybdis (1996) 0.01 
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    Footnote
    Erwiderung auf: Dahlberg, I.: Zur 'Begriffskultur' in den Sozialwissenschaften: lassen sich ihre Probleme lösen?
    Source
    Ethik und Sozialwissenschaften. 7(1996) H.1, S.37-40
  20. Dahlberg, I.: Begriffsarbeit in der Wissensorganisation (2010) 0.01 
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    Abstract
    Ausgehend von der Notwendigkeit, das Wissen der Wissensorganisation in ihren Wissenseinheiten (Begriffen) zu erfassen, wird auf Vorgängerarbeiten (E.Wüster, F.Riggs) hingewiesen. Für die notwendigen Arbeiten wird der noematische Wissensbegriff herangezogen und es wird gezeigt, wie begriffsanalytisch (merkmalsbezogen und durch Merkmale auch systembildend) an eine mögliche Begriffsarbeit herangegangen werden sollte. Die sieben notwendigen Schritte hierzu werden erläutert.
    Series
    Fortschritte in der Wissensorganisation; Bd.11
    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly

Authors

Years

Languages

  • d 104
  • e 70
  • m 5
  • ru 3
  • nl 1
  • pt 1
  • More… Less…

Types

  • a 145
  • m 26
  • s 10
  • el 3
  • n 2
  • p 2
  • d 1
  • x 1
  • More… Less…

Themes

Subjects

Classifications