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  • × author_ss:"Green, R."
  1. Green, R.: Making visible hidden relationships in the Dewey Decimal Classification : how relative index terms relate to DDC classes (2008) 0.01
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    Content
    Relative Index (RI) terms in the Dewey Decimal Classification (DDC) system correspond to concepts that either approximate the whole of the class they index or that are in standing room there. DDC conventions and shallow natural language processing are used to determine automatically whether specific RI terms approximate the whole of or are in standing room in the classes they index. Approximately three-quarters of all RI terms are processed by the techniques described.
  2. Green, R.: Relational aspects of subject authority control : the contributions of classificatory structure (2015) 0.01
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    Date
    8.11.2015 21:27:22
    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
  3. Green, R.; Bean, C.A.: Aligning systems of relationships (2006) 0.00
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    Date
    29. 2.2008 19:20:53
  4. Green, R.; Fraser, L.: Patterns in verbal polysemy (2004) 0.00
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    Pages
    S.29-34
  5. Green, R.: Facet detection using WorldCat and WordNet (2014) 0.00
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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
  6. Green, R.: Indigenous Peoples in the U.S., sovereign nations, and the DDC (2015) 0.00
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    Date
    4. 9.2015 18:53:29
  7. Green, R.; Panzer, M.: Relations in the notational hierarchy of the Dewey Decimal Classification (2011) 0.00
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    Date
    21.11.2011 12:29:56
  8. Green, R.: Facet analysis and semantic frames (2017) 0.00
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    Date
    29. 9.2017 18:58:02
  9. Green, R.: Internally-structured conceptual models in cognitive semantics (2002) 0.00
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    Series
    Information science and knowledge management; vol.3
  10. Green, R.: Syntagmatic relationships in index languages : a reassessment (1995) 0.00
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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
  11. Green, R.: Relationships in the organization of knowledge : an overview (2001) 0.00
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    Series
    Information science and knowledge management; vol.2
  12. Bean, C.A.; Green, R.: Relevance relationships (2001) 0.00
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    Series
    Information science and knowledge management; vol.2
  13. Green, R.: ¬The profession's models of information : a cognitive linguistic analysis (1991) 0.00
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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
  14. Green, R.: Topical relevance relationships : 1: why topic matching fails (1995) 0.00
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    Source
    Journal of the American Society for Information Science. 46(1995) no.9, S.646-653
  15. Green, R.: Topical relevance relationships : 2: an exploratory study and preliminary typology (1995) 0.00
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    Source
    Journal of the American Society for Information Science. 46(1995) no.9, S.654-662
  16. Green, R.; Bean, C.A.; Hudon, M.: Universality and basic level concepts (2003) 0.00
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    Abstract
    This paper examines whether a concept's hierarchical level affects the likelihood of its universality across schemes for knowledge representation and knowledge organization. Empirical data an equivalents are drawn from a bilingual thesaurus, a pair of biomedical vocabularies, and two ontologies. Conceptual equivalence across resources occurs significantly more often at the basic level than at subordinate or superordinate levels. Attempts to integrate knowledge representation or knowledge organization tools should concentrate an establishing equivalences at the basic level. 1. Rationale The degree of success attainable in the integration of multiple knowledge representation systems or knowledge organization schemes is constrained by limitations an the universality of human conceptual systems. For example, human languages do not all lexicalize the same set of concepts; nor do they structure (quasi-)equivalent concepts in the same relational patterns (Riesthuis, 2001). As a consequence, even multilingual thesauri designed from the outset from the perspective of multiple languages may routinely include situations where corresponding terms are not truly equivalent (Hudon, 1997, 2001). Intuitively, where inexactness and partialness in equivalence mappings across knowledge representation schemes and knowledge organizations schemes exist, a more difficult retrieval scenario arises than where equivalence mappings reflect full and exact conceptual matches. The question we address in this paper is whether a concept's hierarchical level af ects the likelihood of its universality/full equivalence across schemes for knowledge representation and knowledge organization. Cognitive science research has shown that one particular hierarchical level-called the basic level--enjoys a privileged status (Brown, 1958; Rosch et al., 1976). Our underlying hypothesis is that concepts at the basic level (e.g., apple, shoe, chair) are more likely to match across knowledge representation schemes and knowledge organization schemes than concepts at the superordinate (e.g., fruit, footwear, furniture) or subordinate (e.g., Granny Smith, sneaker, recliner) levels. This hypothesis is consistent with ethnobiological data showing that folk classifications of flora are more likely to agree at the basic level than at superordinate or subordinate levels (Berlin, 1992).