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  • × theme_ss:"Formale Begriffsanalyse"
  1. Prediger, S.: Kontextuelle Urteilslogik mit Begriffsgraphen : Ein Beitrag zur Restrukturierung der mathematischen Logik (1998) 0.03 
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    Date
    26. 2.2008 15:58:22
    Footnote
    Rez. in: KO 26(1999) no.3, S.175-176 (R. Wille)
  2. Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995) 0.03 
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    Abstract
    TOSCANA is a computer program which allows an online interaction with larger data bases to analyse and explore data conceptually. It uses labelled line diagrams of concept lattices to communicate knowledge coded in given data. The basic problem to create online presentations of concept lattices is solved by composing prepared diagrams to nested line diagrams. A larger number of applications in different areas have already shown that TOSCANA is a useful tool for many purposes
    Source
    Knowledge organization. 22(1995) no.2, S.78-81
  3. Priss, U.: Faceted knowledge representation (1999) 0.02 
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    Abstract
    Faceted Knowledge Representation provides a formalism for implementing knowledge systems. The basic notions of faceted knowledge representation are "unit", "relation", "facet" and "interpretation". Units are atomic elements and can be abstract elements or refer to external objects in an application. Relations are sequences or matrices of 0 and 1's (binary matrices). Facets are relational structures that combine units and relations. Each facet represents an aspect or viewpoint of a knowledge system. Interpretations are mappings that can be used to translate between different representations. This paper introduces the basic notions of faceted knowledge representation. The formalism is applied here to an abstract modeling of a faceted thesaurus as used in information retrieval.
    Date
    22. 1.2016 17:30:31
  4. Priss, U.: Faceted information representation (2000) 0.02 
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    Abstract
    This paper presents an abstract formalization of the notion of "facets". Facets are relational structures of units, relations and other facets selected for a certain purpose. Facets can be used to structure large knowledge representation systems into a hierarchical arrangement of consistent and independent subsystems (facets) that facilitate flexibility and combinations of different viewpoints or aspects. This paper describes the basic notions, facet characteristics and construction mechanisms. It then explicates the theory in an example of a faceted information retrieval system (FaIR)
    Date
    22. 1.2016 17:47:06
  5. Wille, R.: Liniendiagramme hierarchischer Begriffssysteme (1984) 0.01 
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    Footnote
    Engl. in: International classification 11(1984) S.77-86
    Source
    Anwendungen in der Klassifikation. II: Datenanalyse und numerische Klassifikation. Proc. 8. Jahrestagung der Gesellschaft für Klassifikation, Hofgeismar, 10.-13.4.1984. Hrsg.: H.H. Bock
  6. Burmeister, P.; Holzer, R.: On the treatment of incomplete knowledge in formal concept analysis (2000) 0.01 
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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
  7. Wille, R.: Lattices in data analysis : how to draw them with a computer (1989) 0.01 
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  8. Priss, U.: Formal concept analysis in information science (2006) 0.01 
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  9. Kent, R.E.: Implications and rules in thesauri (1994) 0.01 
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    Abstract
    A central consideration in the study of whole language semantic space as encoded in thesauri is word sense comparability. Shows how word sense comparability can be adequately expressed by the logical implications and rules from Formal Concept Analysis. Formal concept analysis, a new approach to formal logic initiated by Rudolf Wille, has been used for data modelling, analysis and interpretation, and also for knowledge representation and knowledge discovery
    Series
    Advances in knowledge organization; vol.4
  10. Viehmann, V.: Formale Begriffsanalyse in der bibliothekarischen Sacherschließung (1996) 0.01 
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  11. Priss, U.; Old, L.J.: Concept neighbourhoods in knowledge organisation systems (2010) 0.01 
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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
  12. Sander, C.; Schmiede, R.; Wille, R.: ¬Ein begriffliches Datensystem zur Literatur der interdisziplinären Technikforschung (1993) 0.01 
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    Abstract
    Begriffliche Datensysteme sind im Rahmen der Formalen Begriffsanalyse entstanden und gründen sich auf mathematische Formalisierungen von Begriff, Begriffssystem und Begriffliche Datei. Sie machen Wissen, das in einer Datenbasis vorliegt, begrifflich zugänglich und interpretierbar. Hierfür werden begriffliche Zusammenhänge entsprechend gewählter Frageaspekte in gestuften Liniendiagrammen dargestellt. Durch Verfeinern, Vergröbern und Wechseln von Begriffstrukturen kann man unbegrenzt durch das in der Datenbasis gespeicherte Wissen "navigieren". In einem Forschungsprojekt, gefördert vom Zentrum für interdisziplinäre Technikforschung an der TH Darmstadt, ist ein Prototyp eines begrifflichen Datensystems erstellt worden, dem als Datenkontext eine ausgewählte, begrifflich aufgearbeitete Menge von Büchern zur interdisziplinären Technikforschung zugrunde liegt. Mit diesem Prototyp soll die flexible und variable Verwendung begrifflicher datensysteme im Literaturbereich demonstriert werden
    Source
    Vortrag, 17. Jahrestagung der Gesellschaft für Klassifikation, 3.-5.3.1993 in Kaiserslautern
  13. Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000) 0.01 
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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
  14. De Maio, C.; Fenza, G.; Loia, V.; Senatore, S.: Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis (2012) 0.01 
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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.
  15. Scheich, P.; Skorsky, M.; Vogt, F.; Wachter, C.; Wille, R.: Conceptual data systems (1992) 0.00 
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    Footnote
    Erscheint im Tagungsband der 16. Jahrestagung der Gesellschaft für Klassifikation 1992 in Dortmund
  16. Vogt, C.; Wille, R.: Formale Begriffsanalyse : Darstellung und Analyse von bibliographischen Daten (1994) 0.00 
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    Source
    Informations- und Wissensverarbeitung in den Sozialwissenschaften: Beiträge zur Umsetzung neuer Informationstechnologien. Hrsg.: H. Best u.a
  17. Zickwolff, M.: Zur Rolle der Formalen Begriffsanalyse in der Wissensakquisition (1994) 0.00 
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  18. Lengnink, K.: Ähnlichkeit als Distanz in Begriffsverbänden (2000) 0.00 
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  19. Prediger, S.: Terminologische Merkmalslogik in der Formalen Begriffsanalyse (2000) 0.00 
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  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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