Search (7 results, page 1 of 1)

  • × author_ss:"Gnoli, C."
  • × year_i:[2010 TO 2020}
  1. Lardera, M.; Gnoli, C.; Rolandi, C.; Trzmielewski, M.: Developing SciGator, a DDC-based library browsing tool (2017) 0.04
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    Content
    Beitrag eines Special Issue: ISKO-Italy: 8' Incontro ISKO Italia, Università di Bologna, 22 maggio 2017, Bologna, Italia.
    Location
    I
  2. Gnoli, C.; Pusterla, L.; Bendiscioli, A.; Recinella, C.: Classification for collections mapping and query expansion (2016) 0.01
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    Location
    I
  3. Gnoli, C.: Boundaries and overlaps of disciplines in Bloch's methodology of historical knowledge (2014) 0.01
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  4. Gnoli, C.: Classifying phenomena : part 4: themes and rhemes (2018) 0.01
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    Date
    17. 2.2018 18:22:25
  5. Gnoli, C.: Classification transcends library business : the case of BiblioPhil (2010) 0.01
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    Date
    22. 7.2010 20:40:08
  6. Gnoli, C.; Merli, G.; Pavan, G.; Bernuzzi, E.; Priano, M.: Freely faceted classification for a Web-based bibliographic archive : the BioAcoustic Reference Database (2010) 0.01
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    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
  7. Gnoli, C.: Fundamentos ontológicos de la organización del conocimiento : la teoría de los niveles integrativos aplicada al orden de cita (2011) 0.01
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    Abstract
    The field of knowledge organization (KO) can be described as composed of the four distinct but connected layers of theory, systems, representation, and application. This paper focuses on the relations between KO theory and KO systems. It is acknowledged how the structure of KO systems is the product of a mixture of ontological, epistemological, and pragmatical factors. However, different systems give different priorities to each factor. A more ontologically-oriented approach, though not offering quick solutions for any particular group of users, will produce systems of wide and long-lasting application as they are based on general, shareable principles. I take the case of the ontological theory of integrative levels, which has been considered as a useful source for general classifications for several decades, and is currently implemented in the Integrative Levels Classification system. The theory produces a sequence of main classes modelling a natural order between phenomena. This order has interesting effects also on other features of the system, like the citation order of concepts within compounds. As it has been shown by facet analytical theory, it is useful that citation order follow a principle of inversion, as compared to the order of the same concepts in the schedules. In the light of integrative levels theory, this principle also acquires an ontological meaning: phenomena of lower level should be cited first, as most often they act as specifications of higher-level ones. This ontological principle should be complemented by consideration of the epistemological treatment of phenomena: in case a lower-level phenomenon is the main theme, it can be promoted to the leading position in the compound subject heading. The integration of these principles is believed to produce optimal results in the ordering of knowledge contents.