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  1. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.48
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  2. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.40
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  3. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.39
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  4. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.37
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  5. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.34
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  6. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.29
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  7. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.29
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  8. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.29
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  9. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.27
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    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  10. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.27
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  11. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.24
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    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  12. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.24
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    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  13. Tufte, E.R.: ¬The visual display of quantitative information (1983) 0.21
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    RSWK
    Statistik / Graphische Darstellung / Diagramm / Visualisierung
    Gebrauchsgrafik / Daten / Visualisierung
    Daten / Visualisierung / Gebrauchsgrafik
    Information / Visualisierung / Gebrauchsgrafik
    Subject
    Statistik / Graphische Darstellung / Diagramm / Visualisierung
    Gebrauchsgrafik / Daten / Visualisierung
    Daten / Visualisierung / Gebrauchsgrafik
    Information / Visualisierung / Gebrauchsgrafik
    Theme
    Visualisierung
  14. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.19
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    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  15. Tufte, E.R.: Envisioning information (1990) 0.16
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    Classification
    Geo A 287 / Graphische Darstellung
    RSWK
    Information / Visualisierung / Gebrauchsgrafik
    Daten / Visualisierung / Gebrauchsgrafik
    SBB
    Geo A 287 / Graphische Darstellung
    Subject
    Information / Visualisierung / Gebrauchsgrafik
    Daten / Visualisierung / Gebrauchsgrafik
    Theme
    Visualisierung
  16. Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995) 0.08
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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
  17. Hearst, M.A.: Search user interfaces (2009) 0.06
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    RSWK
    Informationssystem / Graphische Benutzeroberfläche / Suche / Benutzerorientierung (BVB)
    Informationssystem / Graphische Benutzeroberfläche / Benutzerorientierung (GBV)
    Subject
    Informationssystem / Graphische Benutzeroberfläche / Suche / Benutzerorientierung (BVB)
    Informationssystem / Graphische Benutzeroberfläche / Benutzerorientierung (GBV)
    Theme
    Visualisierung
  18. Wattenberg, M.; Viégas, F.; Johnson, I.: How to use t-SNE effectively (2016) 0.06
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    Abstract
    Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effectively. We'll walk through a series of simple examples to illustrate what t-SNE diagrams can and cannot show. The t-SNE technique really is useful-but only if you know how to interpret it.
    Theme
    Visualisierung
  19. Rolling, L.: ¬The role of graphic display of concept relationships in indexing and retrieval vocabularies (1985) 0.06
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    Abstract
    The use of diagrams to express relationships in classification is not new. Many classificationists have used this approach, but usually in a minor display to make a point or for part of a difficult relational situation. Ranganathan, for example, used diagrams for some of his more elusive concepts. The thesaurus in particular and subject headings in general, with direct and indirect crossreferences or equivalents, need many more diagrams than normally are included to make relationships and even semantics clear. A picture very often is worth a thousand words. Rolling has used directed graphs (arrowgraphs) to join terms as a practical method for rendering relationships between indexing terms lucid. He has succeeded very weIl in this endeavor. Four diagrams in this selection are all that one needs to explain how to employ the system; from initial listing to completed arrowgraph. The samples of his work include illustration of off-page connectors between arrowgraphs. The great advantage to using diagrams like this is that they present relations between individual terms in a format that is easy to comprehend. But of even greater value is the fact that one can use his arrowgraphs as schematics for making three-dimensional wire-and-ball models, in which the relationships may be seen even more clearly. In fact, errors or gaps in relations are much easier to find with this methodology. One also can get across the notion of the threedimensionality of classification systems with such models. Pettee's "hand reaching up and over" (q.v.) is not a figment of the imagination. While the actual hand is a wire or stick, the concept visualized is helpful in illuminating the three-dimensional figure that is latent in all systems that have cross-references or "broader," "narrower," or, especially, "related" terms. Classification schedules, being hemmed in by the dimensions of the printed page, also benefit from such physical illustrations. Rolling, an engineer by conviction, was the developer of information systems for the Cobalt Institute, the European Atomic Energy Community, and European Coal and Steel Community. He also developed and promoted computer-aided translation at the Commission of the European Communities in Luxembourg. One of his objectives has always been to increase the efficiency of mono- and multilingual thesauri for use in multinational information systems.
    Theme
    Visualisierung
  20. Kamps, T.: Diagram design : a constructive theory (1999) 0.06
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    Abstract
    This monograph presents a systematic analysis of diagrams as visual representations of factual knowledge. The analysis shows that the design process may be divided into 3 phases: a data classification pahse, a graphical decision phase, and a layout phase. Performed in this order, the 3 phases more or less reflect the design process of an human expert. They also serve as a basis for a constructive theory for diagram design, which is the main focus of this book. Another interesting topic is only touched upon, namely the commonalities of automatic graphics and text design
    RSWK
    Wissensrepräsentation / Diagramm / Generator <Informatik> / Visualisierung (2341) (3241) (4321)
    Subject
    Wissensrepräsentation / Diagramm / Generator <Informatik> / Visualisierung (2341) (3241) (4321)

Types

  • a 2107
  • m 183
  • s 105
  • el 102
  • b 32
  • r 12
  • x 12
  • i 4
  • p 3
  • n 2
  • d 1
  • h 1
  • vi 1
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Subjects

Classifications