Search (4 results, page 1 of 1)

0.02597155 = product of:
  0.0519431 = sum of:
    0.008582841 = weight(_text_:information in 593) [ClassicSimilarity], result of:
      0.008582841 = score(doc=593,freq=2.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.09697737 = fieldWeight in 593, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=593)
    0.04336026 = product of:
      0.08672052 = sum of:
        0.08672052 = weight(_text_:organization in 593) [ClassicSimilarity], result of:
          0.08672052 = score(doc=593,freq=12.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.48245144 = fieldWeight in 593, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.0390625 = fieldNorm(doc=593)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

The purpose of this article is to identify the most important factors and features in the evolution of thesauri and ontologies through a dialectic model. This model relies on a dialectic process or idea which could be discovered via a dialectic method. This method has focused on identifying the logical relationship between a beginning proposition, or an idea called a thesis, a negation of that idea called the antithesis, and the result of the conflict between the two ideas, called a synthesis. During the creation of knowl­edge organization systems (KOSs), the identification of logical relations between different ideas has been made possible through the consideration and use of the most influential methods and tools such as dictionaries, Roget's Thesaurus, thesaurus, micro-, macro- and metathesauri, ontology, lower, middle and upper level ontologies. The analysis process has adapted a historical methodology, more specifically a dialectic method and documentary method as the reasoning process. This supports our arguments and synthesizes a method for the analysis of research results. Confirmed by the research results, the principle of unity has shown to be the most important factor in the development and evolution of the structure of knowl­edge organization systems and their types. There are various types of unity when considering the analysis of logical relations. These include the principle of unity of alphabetical order, unity of science, semantic unity, structural unity and conceptual unity. The results have clearly demonstrated a movement from plurality to unity in the assembling of the complex structure of knowl­edge organization systems to increase information and knowl­edge storage and retrieval performance.

Footnote

Editorial zu einem Special issue on 'Science and knowledge organization' mit längeren Überblicken zu wichtigen Begriffen der Wissensorgansiation.

Source

Knowledge organization. 48(2021) no.7/8, S.469-472

0.014161401 = product of:
  0.056645606 = sum of:
    0.056645606 = product of:
      0.11329121 = sum of:
        0.11329121 = weight(_text_:organization in 537) [ClassicSimilarity], result of:
          0.11329121 = score(doc=537,freq=8.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.6302719 = fieldWeight in 537, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.0625 = fieldNorm(doc=537)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

The presentation will examine the potential of facet analysis as a basis for determining status and relationships of concepts in subject based tools using a controlled vocabulary, and the extent to which it can be used as a general theory of knowledge organization as opposed to a methodology for structuring classifications only.

Content

Präsentation während der Veranstaltung "Networked Knowledge Organization Systems and Services: The 6th European Networked Knowledge Organization Systems (NKOS) Workshop, Workshop at the 11th ECDL Conference, Budapest, Hungary, September 21st 2007".

0.0062585147 = product of:
  0.025034059 = sum of:
    0.025034059 = product of:
      0.050068118 = sum of:
        0.050068118 = weight(_text_:organization in 2497) [ClassicSimilarity], result of:
          0.050068118 = score(doc=2497,freq=4.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.27854347 = fieldWeight in 2497, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2497)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Series

Advances in knowledge organization; vol.11

Source

Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis

0.0062585147 = product of:
  0.025034059 = sum of:
    0.025034059 = product of:
      0.050068118 = sum of:
        0.050068118 = weight(_text_:organization in 4826) [ClassicSimilarity], result of:
          0.050068118 = score(doc=4826,freq=4.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.27854347 = fieldWeight in 4826, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4826)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

Facet analysis is proposed as a general theory of knowledge organization, with an associated methodology that may be applied to the development of terminology tools in a variety of contexts and formats. Faceted classifications originated as a means of representing complexity in semantic content that facilitates logical organization and effective retrieval in a physical environment. This is achieved through meticulous analysis of concepts, their structural and functional status (based on fundamental categories), and their inter-relationships. These features provide an excellent basis for the general conceptual modelling of domains, and for the generation of KOS other than systematic classifications. This is demonstrated by the adoption of a faceted approach to many web search and visualization tools, and by the emergence of a facet based methodology for the construction of thesauri. Current work on the Bliss Bibliographic Classification (Second Edition) is investigating the ways in which the full complexity of faceted structures may be represented through encoded data, capable of generating intellectually and mechanically compatible forms of indexing tools from a single source. It is suggested that a number of research questions relating to the Semantic Web could be tackled through the medium of facet analysis.