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  • × theme_ss:"Formale Begriffsanalyse"
  1. Priss, U.: Formal concept analysis in information science (2006) 0.02 
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    Source
    Annual review of information science and technology. 40(2006), S.xxx-xxx
  2. Wille, R.: Knowledge acquisition by methods of formal concept analysis (1989) 0.01 
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    Imprint
    New York : Nova Science Publishers
  3. Prediger, S.: Kontextuelle Urteilslogik mit Begriffsgraphen : Ein Beitrag zur Restrukturierung der mathematischen Logik (1998) 0.01 
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    Date
    26. 2.2008 15:58:22
  4. Eklund. P.W.: Logic-based networks : concept graphs and conceptual structures (2000) 0.01 
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    Abstract
    Logic-based networks are semantic networks that support reasoning capabilities. In this paper, knowledge processing within logicbased networks is viewed as three stages. The first stage involves the formation of concepts and relations: the basic primitives with which we wish to formulate knowledge. The second stage involves the formation of wellformed formulas that express knowledge about the primitive concepts and relations once isolated. The final stage involves efficiently processing the wffs to the desired end. Our research involves each of these steps as they relate to Sowa's conceptual structures and Wille's concept lattices. Formal Concept Analysis gives us a capability to perform concept formation via symbolic machine learning. Concept(ual) Graphs provide a means to describe relational properties between primitive concept and relation types. Finally, techniques from other areas of computer science are required to compute logic-based networks efficiently. This paper illustrates the three stages of knowledge processing in practical terms using examples from our research
    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  5. Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995) 0.01 
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    Source
    Knowledge organization. 22(1995) no.2, S.78-81
  6. Priss, U.; Jacob, E.: Utilizing faceted structures for information systems design (1999) 0.01 
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    Abstract
    The writers show that a faceted navigation structure makes web sites easier to use. They begin by analyzing the web sites of three library and information science faculties, and seeing if the sites easily provide the answers to five specific questions, e.g., how the school ranks in national evaluations. (It is worth noting that the web site of the Faculty of Information Studies and the University of Toronto, where this bibliography is being written, would fail on four of the five questions.) Using examples from LIS web site content, they show how facets can be related and constructed, and use concept diagrams for illustration. They briefly discuss constraints necessary when joining facets: for example, enrolled students can be full- or part-time, but prospective and alumni students cannot. It should not be possible to construct terms such as "part-time alumni" (see Yannis Tzitzikas et al, below in Background). They conclude that a faceted approach is best for web site navigation, because it can clearly show where the user is in the site, what the related pages are, and how to get to them. There is a short discussion of user interfaces, and the diagrams in the paper will be of interest to anyone making a facet-based web site. This paper is clearly written, informative, and thought-provoking. Uta Priss's web site lists her other publications, many of which are related and some of which are online: http://www.upriss.org.uk/top/research.html.
    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  7. Priss, U.: Faceted information representation (2000) 0.01 
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    Date
    22. 1.2016 17:47:06
  8. Priss, U.: Faceted knowledge representation (1999) 0.01 
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    Date
    22. 1.2016 17:30:31
  9. Ganter, B.; Wille, R.: Formal concept analysis : mathematical foundations (1998) 0.01 
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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
  10. Eklund, P.; Groh, B.; Stumme, G.; Wille, R.: ¬A conceptual-logic extension of TOSCANA (2000) 0.01 
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    Series
    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  11. Burmeister, P.; Holzer, R.: On the treatment of incomplete knowledge in formal concept analysis (2000) 0.01 
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    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  12. Ganter, B.: Computing with conceptual structures (2000) 0.01 
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    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  13. Carpineto, C.; Romano, G.: Order-theoretical ranking (2000) 0.00 
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    Source
    Journal of the American Society for Information Science. 51(2000) no.7, S.587-601
  14. Hereth, J.; Stumme, G.; Wille, R.; Wille, U.: Conceptual knowledge discovery and data analysis (2000) 0.00 
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    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence
  15. Negm, E.; AbdelRahman, S.; Bahgat, R.: PREFCA: a portal retrieval engine based on formal concept analysis (2017) 0.00 
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    Content
    Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316303569 [http://dx.doi.org/10.1016/j.ipm.2016.08.002].
  16. Conceptual structures : logical, linguistic, and computational issues. 8th International Conference on Conceptual Structures, ICCS 2000, Darmstadt, Germany, August 14-18, 2000 (2000) 0.00 
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    Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence

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