Search (57 results, page 2 of 3)

  • × theme_ss:"Formale Begriffsanalyse"
  • × type_ss:"a"
  1. Strack, H.; Skorsky, M.: Zugriffskontrolle bei Programmsystemen und im Datenschutz mittels Formaler Begriffsanalyse (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  2. Burmeister, P.: ConImp - Ein Programm zur Formalen Begriffsanalyse (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  3. Pollandt, S.: Datenanalyse mit Fuzzy-Begriffen (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  4. Wille, R.; Zickwolff, M.: Grundlagen einer Triadischen Begriffsanalyse (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  5. Lindig, C.; Snelting, G.: Formale Begriffsnalyse im Software Engineering (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  6. Rock, T.; Wille, R.: ¬Ein TOSCANA-Erkundungssystem zur Literatursuche (2000) 0.01 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  7. Skorsky, M.: How to draw a concept lattice with parallelograms (1989) 0.00 
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    Klassifikation und Ordnung. Tagungsband 12. Jahrestagung der Gesellschaft für Klassifikation, Darmstadt 17.-19.3.1988. Hrsg.: R. Wille
  8. Skorsky, M.: Dokumentensammlungen : Strukturiert und recherchiert mit TOSKANA (1996) 0.00 
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  9. Andelfinger, U.: Inhaltliche Erschließung des Bereichs 'Sozialorientierte Gestaltung von Informationstechnik' : Ein begriffsanalytischer Ansatz (2000) 0.00 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  10. Eschenfelder, D.; Kollewe, W.; Skorsky, M.; Wille, R.: ¬Ein Erkundungssystem zum Baurecht : Methoden der Entwicklung eines TOSCANA-Systems (2000) 0.00 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  11. Großkopf, A.; Harras, G.: Begriffliche Erkundung semantischer Strukturen von Sprechaktverben (2000) 0.00 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  12. Henning, H.J.; Kemmnitz, W.: Entwicklung eines kontextuellen Methodenkonzeptes mit Hilfe der Formalen Begriffsanalyse an Beispielen zum Risikoverständnis (2000) 0.00 
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    Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
  13. Kipke, U.; Wille, R.: Begriffsverbände als Ablaufschemata zur Gegenstandsbestimmung (1986) 0.00 
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    Abstract
    Ausgeführt wird, wie Begriffsverbände als Ablaufschemata zur Gegenstandsbestimmung genutzt werden können. Im Gegensatz zur Baumabfrage gestattet die beschriebene Methode dem Benutzer ein Höchstmaß an Freiheit und Transparenz. Demonstriert wird die Methode an der Bestimmung des Symmetrieprinzips von Flächenmustern
    Source
    Die Klassifikation und ihr Umfeld. Proc. 10. Jahrestagung der Gesellschaft für Klassifikation, Münster, 18.-21.6.1986. Hrsg.: P. Degens, H.-J. Hermes, O. Opitz
  14. Burmeister, P.; Holzer, R.: On the treatment of incomplete knowledge in formal concept analysis (2000) 0.00 
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    Abstract
    Some possible treatments of incomplete knowledge in conceptual data representation, data analysis and knowledge acquisition are presented. In particular, some ways of conceptual scalings as well as the role of the three-valued KLEENE-logic are briefly investigated. This logic is also one background in attribute exploration, a conceptual tool for knowledge acquisition. For this method a strategy is given to obtain as much of (attribute) implicational knowledge about a given "universe" as possible; and we show how to represent incomplete knowledge in order to be able to pin down the questions still to be answered in order to obtain complete knowledge in this situation
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  15. Wille, R.: Lattices in data analysis : how to draw them with a computer (1989) 0.00 
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  16. Priss, U.: Formal concept analysis in information science (2006) 0.00 
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  17. Priss, U.; Old, L.J.: Concept neighbourhoods in knowledge organisation systems (2010) 0.00 
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    Abstract
    This paper discusses the application of concept neighbourhoods (in the sense of formal concept analysis) to knowledge organisation systems. Examples are provided using Roget's Thesaurus, WordNet and Wikipedia categories.
    Series
    Advances in knowledge organization; vol.12
    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO Conference, 23-26 February 2010 Rome, Italy. Edited by Claudio Gnoli and Fulvio Mazzocchi
  18. Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000) 0.00 
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    Abstract
    In this paper, we discuss Conceptual Knowledge Discovery in Databases (CKDD) in its connection with Data Analysis. Our approach is based on Formal Concept Analysis, a mathematical theory which has been developed and proven useful during the last 20 years. Formal Concept Analysis has led to a theory of conceptual information systems which has been applied by using the management system TOSCANA in a wide range of domains. In this paper, we use such an application in database marketing to demonstrate how methods and procedures of CKDD can be applied in Data Analysis. In particular, we show the interplay and integration of data mining and data analysis techniques based on Formal Concept Analysis. The main concern of this paper is to explain how the transition from data to knowledge can be supported by a TOSCANA system. To clarify the transition steps we discuss their correspondence to the five levels of knowledge representation established by R. Brachman and to the steps of empirically grounded theory building proposed by A. Strauss and J. Corbin
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  19. De Maio, C.; Fenza, G.; Loia, V.; Senatore, S.: Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis (2012) 0.00 
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    Abstract
    In recent years, knowledge structuring is assuming important roles in several real world applications such as decision support, cooperative problem solving, e-commerce, Semantic Web and, even in planning systems. Ontologies play an important role in supporting automated processes to access information and are at the core of new strategies for the development of knowledge-based systems. Yet, developing an ontology is a time-consuming task which often needs an accurate domain expertise to tackle structural and logical difficulties in the definition of concepts as well as conceivable relationships. This work presents an ontology-based retrieval approach, that supports data organization and visualization and provides a friendly navigation model. It exploits the fuzzy extension of the Formal Concept Analysis theory to elicit conceptualizations from datasets and generate a hierarchy-based representation of extracted knowledge. An intuitive graphical interface provides a multi-facets view of the built ontology. Through a transparent query-based retrieval, final users navigate across concepts, relations and population.
    Content
    Beitrag in einem Themenheft "Soft Approaches to IA on the Web". Vgl.: doi:10.1016/j.ipm.2011.04.003.
  20. Sedelow, W.A.: ¬The formal analysis of concepts (1993) 0.00 
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    Abstract
    The present paper focuses on the extraction, by means of a formal logical/mathematical methodology (i.e. automatically, exclusively by rule), of concept content, as in, for example, continuous discourse. The approach to a fully formal defintion of concept content ultimately is owing to a German government initiative to establish 'standards' regarding concepts, in conjunction with efforts to stipulate precisely (and then, derivatively, through computer prgrams) data and information needs according to work role in certain government offices

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