Search (5 results, page 1 of 1)

  • × author_ss:"Beghtol, C."
  • × theme_ss:"Klassifikationstheorie: Elemente / Struktur"
  1. Beghtol, C.: Naïve classification systems and the global information society (2004) 0.02 
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    Abstract
    Classification is an activity that transcends time and space and that bridges the divisions between different languages and cultures, including the divisions between academic disciplines. Classificatory activity, however, serves different purposes in different situations. Classifications for infonnation retrieval can be called "professional" classifications and classifications in other fields can be called "naïve" classifications because they are developed by people who have no particular interest in classificatory issues. The general purpose of naïve classification systems is to discover new knowledge. In contrast, the general purpose of information retrieval classifications is to classify pre-existing knowledge. Different classificatory purposes may thus inform systems that are intended to span the cultural specifics of the globalized information society. This paper builds an previous research into the purposes and characteristics of naïve classifications. It describes some of the relationships between the purpose and context of a naive classification, the units of analysis used in it, and the theory that the context and the units of analysis imply.
    Pages
    S.19-22
  2. Beghtol, C.: Classification for information retrieval and classification for knowledge discovery : relationships between "professional" and "naïve" classifications (2003) 0.01 
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    Abstract
    Classification is a transdisciplinary activity that occurs during all human pursuits. Classificatory activity, however, serves different purposes in different situations. In information retrieval, the primary purpose of classification is to find knowledge that already exists, but one of the purposes of classification in other fields is to discover new knowledge. In this paper, classifications for information retrieval are called "professional" classifications because they are devised by people who have a professional interest in classification, and classifications for knowledge discovery are called "naive" classifications because they are devised by people who have no particular interest in studying classification as an end in itself. This paper compares the overall purposes and methods of these two kinds of classifications and provides a general model of the relationships between the two kinds of classificatory activity in the context of information studies. This model addresses issues of the influence of scholarly activity and communication an the creation and revision of classifications for the purposes of information retrieval and for the purposes of knowledge discovery. Further comparisons elucidate the relationships between the universality of classificatory methods and the specific purposes served by naive and professional classification systems.
  3. Beghtol, C.: ¬The facet concept as a universal principle of subdivision (2006) 0.01 
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    Abstract
    Facet analysis has been one of the foremost contenders as a design principle for information retrieval classifications, both manual and electronic in the last fifty years. Evidence is presented that the facet concept has a claim to be considered as a method of subdivision that is cognitively available to human beings, regardless of language, culture, or academic discipline. The possibility that faceting is a universal method of subdivision enhances the claim that facet analysis as an unusually useful design principle for information retrieval classifications in any field. This possibility needs further investigation in an age when information access across boundaries is both necessary and possible.
  4. Beghtol, C.: General classification systems : structural principles for multidisciplinary specification (1998) 0.00 
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    Abstract
    In this century, knowledge creation, production, dissemination and use have changed profoundly. Intellectual and physical barriers have been substantially reduced by the rise of multidisciplinarity and by the influence of computerization, particularly by the spread of the World Wide Web (WWW). Bibliographic classification systems need to respond to this situation. Three possible strategic responses are described: 1) adopting an existing system; 2) adapting an existing system; and 3) finding new structural principles for classification systems. Examples of these three responses are given. An extended example of the third option uses the knowledge outline in the Spectrum of Britannica Online to suggest a theory of "viewpoint warrant" that could be used to incorporate differing perspectives into general classification systems
  5. Beghtol, C.: Response to Hjoerland and Nicolaisen (2004) 0.00 
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    Abstract
    I am writing to correct some of the misconceptions that Hjoerland and Nicolaisen appear to have about my paper in the previous issue of Knowledge Organization. I would like to address aspects of two of these misapprehensions. The first is the faulty interpretation they have given to my use of the term "naïve classification," and the second is the kinds of classification systems that they appear to believe are discussed in my paper as examples of "naïve classifications." First, the term "naïve classification" is directly analogous to the widely-understood and widelyaccepted term "naïve indexing." It is not analogous to the terms to which Hjorland and Nicolaisen compare it (i.e., "naïve physics", "naïve biology"). The term as I have defined it is not pejorative. It does not imply that the scholars who have developed naïve classifications have not given profoundly serious thought to their own scholarly work. My paper distinguishes between classifications for new knowledge developed by scholars in the various disciplines for the purposes of advancing disciplinary knowledge ("naïve classifications") and classifications for previously existing knowledge developed by information professionals for the purposes of creating access points in information retrieval systems ("professional classifications"). This distinction rests primarily an the purpose of the kind of classification system in question and only secondarily an the knowledge base of the scholars who have created it. Hjoerland and Nicolaisen appear to have misunderstood this point, which is made clearly and adequately in the title, in the abstract and throughout the text of my paper.

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