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  • × author_ss:"Norgard, B."
  1. Buckland, M.K.; Chen, A.; Gebbie, M.; Kim, Y.; Norgard, B.: Variation by subdomain in indexes to knowledge organization systems (2000) 0.00 
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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
    Type
    a
  2. Kim, Y.; Norgard, B.; Chen, A.; Gey, F.: Using ordinary language in access metadata of divers types of information resources : trade classifications and numeric data (1999) 0.00 
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    Abstract
    In this paper, we deal with the retrieval of numeric data from information sources that present special challenges. We describe a new method to deal with the challenge of accessing this special type of data indexed by unfamiliar metadata vocabularies. The purpose of our Entry Vocabulary Module (EVM) approach is to facilitate use of unfamiliar metadata vocabularies to access data. We have developed a method of mapping language found in text of titles and abstracts to metadata vocabulary terms. This enables people to use ordinary language queries to search databases indexed with unfamiliar metadata vocabularies. Numeric data lacks textual resources we draw upon to build associations between ordinary language and metadata terms. Therefore, we have extended the EVM approach to deal with numeric database searching
    Type
    a
  3. Buckland, M.; Chen, A.; Chen, H.M.; Kim, Y.; Lam, B.; Larson, R.; Norgard, B.; Purat, J.; Gey, F.: Mapping entry vocabulary to unfamiliar metadata vocabularies (1999) 0.00 
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    Abstract
    The emerging network environment brings access to an increasing population of heterogeneous repositories. Inevitably, these, have quite diverse metadata vocabularies (categorization codes, classification numbers, index and thesaurus terms). So, necessarily, the number of metadata vocabularies that are accessible but unfamiliar for any individual searcher is increasing steeply. When an unfamiliar metadata vocabulary is encountered, how is a searcher to know which codes or terms will lead to what is wanted? This paper reports work at the University of California, Berkeley, on the design and development of English language indexes to metadata vocabularies. Further details and the current status of the work can be found at the project website http://www.sims.berkeley.edu/research/metadata/
    Type
    a

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