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  • × author_ss:"Green, R."
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. Green, R.: Syntagmatic relationships in index languages : a reassessment (1995) 0.01
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    Abstract
    Effective use of syntagmatic relationships in index languages has suffered from inaccurate or incomplete characterization in both linguistics and information science. A number of 'myths' about syntagmatic relationships are debunked: the exclusivity of paradigmatic and syntagmatic relationships, linearity as a defining characteristic of syntagmatic relationships, the restriction of syntagmatic relationships to surface linguistic units, the limitation of syntagmatic relationship benefits in document retrieval to precision, and the general irrelevance of syntagmatic relationships for document retrieval. None of the mechanisms currently used with index languages is powerful enough to achieve the levels of precision and recall that the expression of conceptual syntagmatic relationships is in theory capable of. New designs for expressing these relationships in index languages will need to take into account such characteristics as their semantic nature, systematicity, generalizability and constituent nature
  2. Green, R.: ¬The profession's models of information : a cognitive linguistic analysis (1991) 0.01
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    Abstract
    This study establishes 3 predominant cognitive models of information and the information transfer process manifest in the literature of library and information science, based on a linguistic analysis of phrases incoporating the word 'information' from a random sample of abstracts in the LISA database. The direct communication (DC) and indirect communication (IC) models (drawn from Reddy's frameworks of metalinguistic usage) adopt the perspective of the information system; the information-seeking (IS) model takes the viewpoint of the information user. 2 disturbing findings are presented: 1. core elements of the DC and IC models are more weakly supported by the data than are most of the peripheral elements; and 2. even though the IS model presents the information user's perspective, the data emphasise the role of the information system. These findings suggest respectively that the field lacks a coherent model of information transfer per se and that our model of information retrieval is mechanistic, oblivious to the cognitive models of end users
  3. Green, R.: Topical relevance relationships : 1: why topic matching fails (1995) 0.01
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    Source
    Journal of the American Society for Information Science. 46(1995) no.9, S.646-653
  4. Green, R.: Topical relevance relationships : 2: an exploratory study and preliminary typology (1995) 0.01
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    Source
    Journal of the American Society for Information Science. 46(1995) no.9, S.654-662