-
Wille, R.: Begriffliche Datensysteme als Werkzeuge der Wissenskommunikation (1992)
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- Source
- Mensch und Maschine: Informationelle Schnittstellen der Kommunikation. Proc. des 3. Int. Symposiums für Informationswissenschaft (ISI'92), 5.-7.11.1992 in Saarbrücken. Hrsg.: H.H. Zimmermann, H.-D. Luckhardt u. A. Schulz
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Wille, R.: Begriffliche Wissensverarbeitung in der Wirtschaft (2002)
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- Abstract
- Begriffliche Wissensverarbeitung ist einem pragmatischen Wissensverständnis verpflichtet, nach dem menschliches Wissen in einem offenen Prozess menschlichen Denkens, Argumentierens und Kommunizierens entsteht und weiterlebt. Sie gründet sich auf eine mathematische Begriffstheorie, die auf das wechselseitige Zusammenwirken von Formalem und Inhaltlichem ausgerichtet ist. Wie diese theoretische Konzeption in der wirtschaftlichen Praxis zur Wirkung kommt wird erläutert anhand der Kernprozesse des organisationalen Wissensmanagements, d.h. nach G. Probst et al. anhand von Wissensidentifikation, Wissenserwerb, Wissensentwicklung, Wissens(ver)teilung, Wissensnutzung und Wissensbewahrung; jeweils an einem Beispiel wird der Einsatz spezifischer Methoden der Begrifflichen Wissensverarbeitung demonstriert. Abschließend wird auf den prozesshaften Wirkungszusammenhang von Wissenszielen und Wissensbewertungen mit den Kernprozessen aus Sicht der Begrifflichen Wissensverarbeitung eingegangen.
- Source
- Information - Wissenschaft und Praxis. 53(2002) H.3, S.149-160
-
Sander, C.; Schmiede, R.; Wille, R.: ¬Ein begriffliches Datensystem zur Literatur der interdisziplinären Technikforschung (1993)
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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
-
Wille, R.: Liniendiagramme hierarchischer Begriffssysteme (1984)
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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
-
Kipke, U.; Wille, R.: Begriffsverbände als Ablaufschemata zur Gegenstandsbestimmung (1986)
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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
-
Kollewe, W.; Sander, C.; Schmiede, R.; Wille, R.: TOSCANA als Instrument der bibliothekarischen Sacherschließung (1995)
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- Imprint
- Oldenburg : Bibliotheks- und Informationssystem
- Source
- Aufbau und Erschließung begrifflicher Datenbanken: Beiträge zur bibliothekarischen Klassifikation. Eine Auswahl von Vorträgen der Jahrestagungen 1993 (Kaiserslautern) und 1994 (Oldenburg) der Gesellschaft für Klassifikation. Hrsg.: H. Havekost u. H.-J. Wätjen
-
Ganter, B.; Wille, R.: Implikationen und Abhängigkeiten zwischen Merkmalen (1986)
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- Source
- Die Klassifikation und ihr Umfeld: Proc. 10. Jahrestagung der Gesellschaft für Klassifikation, Münster, 18.-21.6.1986. Hrsg.: P.O. Degens
-
Vogt, C.; Wille, R.: Formale Begriffsanalyse : Darstellung und Analyse von bibliographischen Daten (1994)
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- Source
- Informations- und Wissensverarbeitung in den Sozialwissenschaften: Beiträge zur Umsetzung neuer Informationstechnologien. Hrsg.: H. Best u.a
-
Eschenfelder, D.; Kollewe, W.; Skorsky, M.; Wille, R.: ¬Ein Erkundungssystem zum Baurecht : Methoden der Entwicklung eines TOSCANA-Systems (2000)
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- Source
- Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
-
Kollewe, W.; Sander, C.; Schmiede, R.; Wille, R.: TOSCANA als Instrument der bibliothekarischen Sacherschließung (1995)
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- Abstract
- TOSCANA ist ein Computerprogramm, mit dem begriffliche Erkundungssysteme auf der Grundlage der Formalen Begriffsanalyse erstellt werden können.In der vorliegenden Arbeit wird diskutiert, wie TOSCANA zur bibliothekarischen Sacherschließung und thematischen Literatursuche eingesetzt werden kann. Berichtet wird dabei von dem Forschungsprojekt 'Anwendung eines Modells begrifflicher Wissenssysteme im Bereich der Literatur zur interdisziplinären Technikforschung', das vom Darmstädter Zentrum für interdisziplinäre Technikforschung gefördert worden ist
-
Wille, R.; Wachter, C.: Begriffsanalyse von Dokumenten (1992)
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- Source
- Information und Dokumentation in den 90er Jahren: neue Herausforderung, neue Technologien. Deutscher Dokumentartag 1991, Universität Ulm, 30.9.-2.10.1991. Hrsg.: W. Neubauer u. K.-H. Meier
-
Kollewe, W.; Skorsky, M.; Vogt, F.; Wille, R.: TOSCANA - ein Werkzeug zur begrifflichen Analyse und Erkundung von Daten (1994)
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- Source
- Begriffliche Wissensverarbeitung: Grundfragen und Aufgaben. Hrsg.: R. Wille u. M. Zickwolff
-
Wille, R.; Zickwolff, M.: Grundlagen einer Triadischen Begriffsanalyse (2000)
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- Source
- Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
-
Rock, T.; Wille, R.: ¬Ein TOSCANA-Erkundungssystem zur Literatursuche (2000)
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- Source
- Begriffliche Wissensverarbeitung: Methoden und Anwendungen, mit Beiträgen zahlreicher Fachwissenschaftler. Hrsg.: G. Stumme u. R. Wille
-
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
-
Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995)
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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
-
Wille, R.: Lattices in data analysis : how to draw them with a computer (1989)
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-
Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000)
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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
-
Ganter, B.; Wille, R.: Formal concept analysis : mathematical foundations (1998)
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- Abstract
- This is the first textbook on formal concept analysis. It gives a systematic presentation of the mathematical foundations and their relation to applications in computer science, especially data analysis and knowledge processing. Above all, it presents graphical methods for representing conceptual systems that have proved themselves in communicating knowledge. Theory and graphical representation are thus closely coupled together. The mathematical foundations are treated thouroughly and illuminated by means of numerous examples. Since computers are being used ever more widely for knowledge processing, formal methods for conceptual analysis are gaining in importance. This book makes the basic theory for such methods accessible in a compact form
- Footnote
- Rez. in: KO 26(1999) no.3, S.172-173 (U. Priss)
-
Luksch, P.; Wille, R.: ¬A mathematical model for conceptual knowledge systems (1991)
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- Abstract
- Objects, attributes, and concepts are basic notations of conceptual knowledge; they are linked by the following four basic relations: an object has an attribute, an object belongs to a concept, an attribute abstracts from a concept, and a concept is a subconcept of another concept. These structural elements are well mathematized in formal concept analysis. Therefore, conceptual knowledge systems can be mathematically modelled in the frame of formal concept analysis. How such modelling may be performed is indicated by an example of a conceptual knowledge system. The formal definition of the model finally clarifies in which ways representation, inference, acquisition, and communication of conceptual knowledge can be mathematically treated
