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Prediger, S.: Kontextuelle Urteilslogik mit Begriffsgraphen : Ein Beitrag zur Restrukturierung der mathematischen Logik (1998)
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- Date
- 26. 2.2008 15:58:22
- Footnote
- Rez. in: KO 26(1999) no.3, S.175-176 (R. Wille)
- Pages
- 106 S
-
Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995)
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- Source
- Knowledge organization. 22(1995) no.2, S.78-81
-
Priss, U.: Faceted information representation (2000)
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- Date
- 22. 1.2016 17:47:06
- Pages
- S.84-94
-
Priss, U.: Faceted knowledge representation (1999)
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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
-
Wille, R.: Line diagrams of hierarchical concept systems (1984)
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- Source
- International classification. 11(1984), S.77-86
-
Wille, R.: Geometric representations of concept lattices (1989)
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- Pages
- S.239-255
-
Wille, R.: Lattices in data analysis : how to draw them with a computer (1989)
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- Pages
- S.33-58
-
Wille, R.: Concept lattices and conceptual knowledge systems (1992)
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- Source
- Computers and mathematics with applications. 23(1992), S.493-515
-
Groh, B.; Strahringer, S.; Wille, R.: TOSCANA-systems based on thesauri (1998)
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- Pages
- S.127-138
-
Ganter, B.; Stahl, J.; Wille, R.: Conceptual measurement and many-valued contexts (1986)
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- Pages
- S.169-176
-
Ganter, B.; Wille, R.: Conceptual scaling (1989)
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- Pages
- S.139-167
-
Vogt, F.; Wachter, C.; Wille, R.: Data analysis based on a conceptual file (1991)
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- Pages
- S.131-142
-
Wille, R.: Knowledge acquisition by methods of formal concept analysis (1989)
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- Pages
- S.365-380
-
Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995)
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- Pages
- S.226-233
-
Sowa, J.F.: Knowledge representation : logical, philosophical, and computational foundations (2000)
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- Pages
- XIV,594 S
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Scheich, P.; Skorsky, M.; Vogt, F.; Wachter, C.; Wille, R.: Conceptual data systems (1993)
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- S.72-84
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Rusch, A.; Wille, R.: Knowledge spaces and formal concept analysis (1996)
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- S. -
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Reinartz, T.P.; Zickwolff, M.: ¬Two conceptual approaches to acquire human expert knowledge in a complex real world domain (1996)
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- S. -
-
Priss, U.: Lattice-based information retrieval (2000)
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- Abstract
- A lattice-based model for information retrieval was suggested in the 1960's but has been seen as a theoretical possibility hard to practically apply ever since. This paper attempts to revive the lattice model and demonstrate its applicability in an information retrieval system, FalR, that incorporates a graphical representation of a faceted thesaurus. It shows how Boolean queries can be lattice-theoretically related to the concepts of the thesaurus and visualized within the thesaurus display. An advantage of FaIR is that it allows for a high level of transparency of the system, which can be controlled by the user
- Source
- Knowledge organization. 27(2000) no.3, S.132-142
-
Ganter, B.; Wille, R.: Formal concept analysis : mathematical foundations (1998)
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- Footnote
- Rez. in: KO 26(1999) no.3, S.172-173 (U. Priss)
- Pages
- 300 S
