Search (34 results, page 1 of 2)

  • × theme_ss:"Klassifikationstheorie: Elemente / Struktur"
  1. Jacob, E.K.: Proposal for a classification of classifications built on Beghtol's distinction between "Naïve Classification" and "Professional Classification" (2010) 0.02 
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    Abstract
    Argues that Beghtol's (2003) use of the terms "naive classification" and "professional classification" is valid because they are nominal definitions and that the distinction between these two types of classification points up the need for researchers in knowledge organization to broaden their scope beyond traditional classification systems intended for information retrieval. Argues that work by Beghtol (2003), Kwasnik (1999) and Bailey (1994) offer direction for the development of a classification of classifications based on the pragmatic dimensions of extant classification systems. Bezugnahme auf: Beghtol, C.: Naïve classification systems and the global information society. In: Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine. Würzburg: Ergon Verlag 2004. S.19-22. (Advances in knowledge organization; vol.9)
    Source
    Knowledge organization. 37(2010) no.2, S.111-120
    Year
    2010
  2. Beghtol, C.: Naïve classification systems and the global information society (2004) 0.01 
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    Footnote
    Vgl.: Jacob, E.K.: Proposal for a classification of classifications built on Beghtol's distinction between "Naïve Classification" and "Professional Classification". In: Knowledge organization. 37(2010) no.2, S.111-120.
    Pages
    S.19-22
  3. Burkart, M.: Dokumentationssprachen (1990) 0.01 
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    Year
    1990
  4. Szostak, R.: Universal and domain-specific classifications from an interdisciplinary perspective (2010) 0.01 
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    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO Conference, 23-26 February 2010 Rome, Italy. Edited by Claudio Gnoli and Fulvio Mazzocchi
    Year
    2010
  5. Qin, J.: Evolving paradigms of knowledge representation and organization : a comparative study of classification, XML/DTD and ontology (2003) 0.01 
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    Abstract
    The different points of views an knowledge representation and organization from various research communities reflect underlying philosophies and paradigms in these communities. This paper reviews differences and relations in knowledge representation and organization and generalizes four paradigms-integrative and disintegrative pragmatism and integrative and disintegrative epistemologism. Examples such as classification, XML schemas, and ontologies are compared based an how they specify concepts, build data models, and encode knowledge organization structures. 1. Introduction Knowledge representation (KR) is a term that several research communities use to refer to somewhat different aspects of the same research area. The artificial intelligence (AI) community considers KR as simply "something to do with writing down, in some language or communications medium, descriptions or pictures that correspond in some salient way to the world or a state of the world" (Duce & Ringland, 1988, p. 3). It emphasizes the ways in which knowledge can be encoded in a computer program (Bench-Capon, 1990). For the library and information science (LIS) community, KR is literally the synonym of knowledge organization, i.e., KR is referred to as the process of organizing knowledge into classifications, thesauri, or subject heading lists. KR has another meaning in LIS: it "encompasses every type and method of indexing, abstracting, cataloguing, classification, records management, bibliography and the creation of textual or bibliographic databases for information retrieval" (Anderson, 1996, p. 336). Adding the social dimension to knowledge organization, Hjoerland (1997) states that knowledge is a part of human activities and tied to the division of labor in society, which should be the primary organization of knowledge. Knowledge organization in LIS is secondary or derived, because knowledge is organized in learned institutions and publications. These different points of views an KR suggest that an essential difference in the understanding of KR between both AI and LIS lies in the source of representationwhether KR targets human activities or derivatives (knowledge produced) from human activities. This difference also decides their difference in purpose-in AI KR is mainly computer-application oriented or pragmatic and the result of representation is used to support decisions an human activities, while in LIS KR is conceptually oriented or abstract and the result of representation is used for access to derivatives from human activities.
    Date
    12. 9.2004 17:22:35
  6. Cheti, A.: ¬Le categorie nell'indicizzazione (1990) 0.01 
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    Source
    Biblioteche oggi. 8(1990) no.1, S.29-49
    Year
    1990
  7. Fripp, D.: Using linked data to classify web documents (2010) 0.01 
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    Source
    Aslib proceedings. 62(2010) no.6, S.585 - 595
    Year
    2010
  8. Zeng, M.L.; Panzer, M.; Salaba, A.: Expressing classification schemes with OWL 2 Web Ontology Language : exploring issues and opportunities based on experiments using OWL 2 for three classification schemes 0.00 
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    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M
  9. Beghtol, C.: Classification theory (2010) 0.00 
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    Year
    2010
  10. Green, R.; Panzer, M.: ¬The ontological character of classes in the Dewey Decimal Classification 0.00 
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    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M
  11. Maniez, J.: ¬Des classifications aux thesaurus : du bon usage des facettes (1999) 0.00 
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    Date
    1. 8.1996 22:01:00
  12. Maniez, J.: ¬Du bon usage des facettes : des classifications aux thésaurus (1999) 0.00 
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    Date
    1. 8.1996 22:01:00
  13. Foskett, D.J.: Systems theory and its relevance to documentary classification (2017) 0.00 
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    Date
    6. 5.2017 18:46:22
  14. Beghtol, C.: Semantic validity : concepts of warrants in bibliographic classification systems (1986) 0.00 
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    Footnote
    Vgl.: Kwasnik, B.H.: Semantic warrant: a pivotal concept for our field. In: Knowledge organization. 37(2010) no.2, S.106-110.
  15. Connaway, L.S.; Sievert, M.C.: Comparison of three classification systems for information on health insurance (1996) 0.00 
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    Date
    22. 4.1997 21:10:19
  16. Belayche, C.: ¬A propos de la classification de Dewey (1997) 0.00 
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    Source
    Bulletin d'informations de l'Association des Bibliothecaires Francais. 1997, no.175, S.22-23
  17. Lin, W.-Y.C.: ¬The concept and applications of faceted classifications (2006) 0.00 
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    Date
    27. 5.2007 22:19:35
  18. Lorenz, B.: Zur Theorie und Terminologie der bibliothekarischen Klassifikation (2018) 0.00 
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    Pages
    S.1-22
  19. Putkey, T.: Using SKOS to express faceted classification on the Semantic Web (2011) 0.00 
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    Abstract
    This paper looks at Simple Knowledge Organization System (SKOS) to investigate how a faceted classification can be expressed in RDF and shared on the Semantic Web. Statement of the Problem Faceted classification outlines facets as well as subfacets and facet values. Hierarchical relationships and associative relationships are established in a faceted classification. RDF is used to describe how a specific URI has a relationship to a facet value. Not only does RDF decompose "information into pieces," but by incorporating facet values RDF also given the URI the hierarchical and associative relationships expressed in the faceted classification. Combining faceted classification and RDF creates more knowledge than if the two stood alone. An application understands the subjectpredicate-object relationship in RDF and can display hierarchical and associative relationships based on the object (facet) value. This paper continues to investigate if the above idea is indeed useful, used, and applicable. If so, how can a faceted classification be expressed in RDF? What would this expression look like? Literature Review This paper used the same articles as the paper A Survey of Faceted Classification: History, Uses, Drawbacks and the Semantic Web (Putkey, 2010). In that paper, appropriate resources were discovered by searching in various databases for "faceted classification" and "faceted search," either in the descriptor or title fields. Citations were also followed to find more articles as well as searching the Internet for the same terms. To retrieve the documents about RDF, searches combined "faceted classification" and "RDF, " looking for these words in either the descriptor or title.
  20. Winske, E.: ¬The development and structure of an urban, regional, and local documents classification scheme (1996) 0.00 
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    Footnote
    Paper presented at conference on 'Local documents, a new classification scheme' at the Research Caucus of the Florida Library Association Annual Conference, Fort Lauderdale, Florida 22 Apr 95

Authors

Years

Languages

  • e 27
  • f 3
  • d 2
  • chi 1
  • i 1
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Types

  • a 33
  • el 1
  • m 1
  • s 1
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Themes

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