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  • × author_ss:"Buckland, M.K."
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  1. Buckland, M.K.; Liu, Z.: History of information science (1995) 0.05
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    Abstract
    State of the art review of the historical development of information science as deemed to be covered by the particular interests of memebers of the American Society for Information Science, as defined as the representation, storage, transmission, selection, retrieval, filtering, and use of documents and messages. Arranges the references cited roughly according to the classification scheme used by Information Science Abstracts, and so uses the headings: background; information science; techniques and technology; information related behaviour; application areas; social aspects; education for information science; institutions; individuals; geographical areas; and conclusions
    Date
    13. 6.1996 19:22:20
  2. Buckland, M.K.; Butler, M.H.; Norgard, B.A.; Plaunt, C.: OASIS: a front end for prototyping catalog enhancements (1992) 0.03
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    Source
    Library hi tech. 10(1992) no.4, S.7-22
  3. Buckland, M.K.: OASIS: a front-end for prototyping catalog enhancements (1992) 0.01
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    Source
    Library hi tech. 10(1992) no.4, S.7-22
  4. Buckland, M.K.: Classifications, links and contexts : keynote address (2015) 0.01
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    Abstract
    Links commonly refer to models developed for the World Wide Web Consortium, but these are a special case within the wider field of links and references used in resource discovery, including subject indexes to classifications, relationships used in vocabulary control, and search term recommender services. There is a tension between standardised relationships (symbolized by Paul Otlet's modernist universalism and the Semantic Web) and the particular, subjective situations in which individuals try to make sense (symbolized by Ludwik Fleck's emphasis on the influence of local cultural contexts). A subject index to a classification is a collection of links, sometimes qualified by context. Different domains (specialties) have their own cultural contexts and benefit from differently tailored links even when searching within the same resources. Making links is a descriptive, language activity. Probabilistic methods can create links from familiar to unfamiliar vocabularies economically. Links commonly use a limited set of relationships, mainly equivalence, inclusion, and inheritance. A far wider range of relationships would help resource discovery. Extending resource discovery requires not only same-facet links to reach additional resources but also links across different facets to provide explanatory context.
    Source
    Classification and authority control: expanding resource discovery: proceedings of the International UDC Seminar 2015, 29-30 October 2015, Lisbon, Portugal. Eds.: Slavic, A. u. M.I. Cordeiro
  5. Buckland, M.K.; Lynch, C.A.: National and international implications of the linked systems protocol for online bibliographic systems (1988) 0.01
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    Source
    Cataloging and classification quarterly. 8(1988) nos.3/4, S.15-33
  6. Buckland, M.K.: Knowledge organization and the technology of intellectual work (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
  7. Buckland, M.K.; Chen, A.; Gebbie, M.; Kim, Y.; Norgard, B.: Variation by subdomain in indexes to knowledge organization systems (2000) 0.01
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    Abstract
    Bibliographies and their knowledge organization systems commonly cover broad topical areas. Indexes to knowledge organization systems, such as the Subject Index to the Dewey Decimal Classification, provide a general index to the entirety. However, every community and every specialty develops its own specialized vocabulary. An index derived from the specialized use of language within a single subdomain could well be different from a general-purpose index for all domains and preferable for that subdomain. Statistical association techniques can be used to create indexes to knowledge systems. A preliminary analysis based on the INSPEC database shows that subdomain indexes differ significantly from each other and from a general index. The greater the polysemy of individual words the greater difference in the indexes

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