Search (3 results, page 1 of 1)

  • × author_ss:"Green, R."
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. 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
  2. Green, R.: ¬The design of a relational database for large-scale bibliographic retrieval (1996) 0.01
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    Abstract
    Reports results of a study, conducted by Maryland University, College of Library and Information Services, to establish the basic logical design of large scale bibliographic databases using the entity relationship (ER) model, with a view to the eventual conversion of the ER based conceptual schemas into relational databases. A fully normalized relational bibliographic database promises relief from the update, insertion, and deletion anomalies that plague bibliographic databases using MARC formats and USMARC formats internally. Presents the conceptual design of a full scale bibliographic database (inclusing bibliographic, authority, holdings, and classification data), based on entity relationship modelling. This design translates easily into a logical relational design. Discusses the treatment of format integration and the differentiation between the intellectual and bibliographic levels of description and between collective and individual levels of description. Unfortunately, the complexities of bibliographic data result in a tension between the semantic integrity of the relatioal approach and the inefficiencies of normalization and decomposition. Outlines compromise approaches to the dilemma
  3. Green, R.: Attribution and relationality (1998) 0.01
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    Abstract
    The paper examines the role of attributes within entity-relationship-based conceptual modeling, investigating the interplay between attributes and relationships within (1) data modeling and (2) natural language use. Attribution is found to be an important relationship type. The lack of distinctiveness between attributes and relationships leads to a re-examination of how hierarchy should be treated in both the practice and theory of knowledge organization