Search (2 results, page 1 of 1)

  • × author_ss:"Szostak, R."
  • × type_ss:"m"
  1. Szostak, R.; Gnoli, C.; López-Huertas, M.: Interdisciplinary knowledge organization 0.01
    0.0094314385 = product of:
      0.018862877 = sum of:
        0.018862877 = product of:
          0.037725754 = sum of:
            0.037725754 = weight(_text_:systems in 3804) [ClassicSimilarity], result of:
              0.037725754 = score(doc=3804,freq=6.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.2352409 = fieldWeight in 3804, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.03125 = fieldNorm(doc=3804)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    -Existing classification systems serve interdisciplinary research and teaching poorly. -A novel approach to classification, grounded in the phenomena studied rather than disciplines, would serve interdisciplinary scholarship much better. It would also have advantages for disciplinary scholarship. The productivity of scholarship would thus be increased. -This novel approach is entirely feasible. Various concerns that might be raised can each be addressed. The broad outlines of what a new classification would look like are developed. -This new approach might serve as a complement to or a substitute for existing classification systems. -Domain analysis can and should be employed in the pursuit of a general classification. This will be particularly important with respect to interdisciplinary domains. -Though the impetus for this novel approach comes from interdisciplinarity, it is also better suited to the needs of the Semantic Web, and a digital environment more generally. Though the primary focus of the book is on classification systems, most chapters also address how the analysis could be extended to thesauri and ontologies. The possibility of a universal thesaurus is explored. The classification proposed has many of the advantages sought in ontologies for the Semantic Web. The book is therefore of interest to scholars working in these areas as well.
  2. Szostak, R.: Classifying science : phenomena, data, theory, method, practice (2004) 0.00
    0.0040839324 = product of:
      0.008167865 = sum of:
        0.008167865 = product of:
          0.01633573 = sum of:
            0.01633573 = weight(_text_:systems in 325) [ClassicSimilarity], result of:
              0.01633573 = score(doc=325,freq=2.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.1018623 = fieldWeight in 325, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.0234375 = fieldNorm(doc=325)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Footnote
    Despite its methodological flaws and lack of empirical foundation, the book could potentially bring new ideas to current discussions within the practices of curriculum development and knowledge management as weIl as design of information systems, an classification schemes as tools for knowledge sharing, decision-making and knowledge exploration. I hesitate to recommend the book to students, except to students at advanced levels of study, because of its biased presentation of the new ideas and its basis an secondary literature."