Search (34 results, page 1 of 2)

  • × author_ss:"Green, R."
  1. Green, R.: Facet detection using WorldCat and WordNet (2014) 0.02
    0.021157425 = product of:
      0.06347227 = sum of:
        0.06347227 = sum of:
          0.021921717 = weight(_text_:of in 1419) [ClassicSimilarity], result of:
            0.021921717 = score(doc=1419,freq=14.0), product of:
              0.06850986 = queryWeight, product of:
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.043811057 = queryNorm
              0.31997898 = fieldWeight in 1419, product of:
                3.7416575 = tf(freq=14.0), with freq of:
                  14.0 = termFreq=14.0
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.0546875 = fieldNorm(doc=1419)
          0.041550554 = weight(_text_:22 in 1419) [ClassicSimilarity], result of:
            0.041550554 = score(doc=1419,freq=2.0), product of:
              0.15341885 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.043811057 = queryNorm
              0.2708308 = fieldWeight in 1419, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0546875 = fieldNorm(doc=1419)
      0.33333334 = coord(1/3)
    
    Abstract
    Because procedures for establishing facets tend toward subjectivity, this pilot project investigates whether the facet structure of a subject literature can be discerned automatically on the basis of its own metadata. Nouns found in the titles of works retrieved from the WorldCat bibliographic database based on Dewey number are mapped against the nodes of the WordNet noun network. Density measures are computed for these nodes to identify nodes best summarizing the title noun data / best corresponding to facets of the subject. Results of the work to date are promising enough to warrant further investigation.
    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
  2. Green, R.: Relational aspects of subject authority control : the contributions of classificatory structure (2015) 0.02
    0.016435925 = product of:
      0.04930777 = sum of:
        0.04930777 = sum of:
          0.019628802 = weight(_text_:of in 2282) [ClassicSimilarity], result of:
            0.019628802 = score(doc=2282,freq=22.0), product of:
              0.06850986 = queryWeight, product of:
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.043811057 = queryNorm
              0.28651062 = fieldWeight in 2282, product of:
                4.690416 = tf(freq=22.0), with freq of:
                  22.0 = termFreq=22.0
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2282)
          0.029678967 = weight(_text_:22 in 2282) [ClassicSimilarity], result of:
            0.029678967 = score(doc=2282,freq=2.0), product of:
              0.15341885 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.043811057 = queryNorm
              0.19345059 = fieldWeight in 2282, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2282)
      0.33333334 = coord(1/3)
    
    Abstract
    The structure of a classification system contributes in a variety of ways to representing semantic relationships between its topics in the context of subject authority control. We explore this claim using the Dewey Decimal Classification (DDC) system as a case study. The DDC links its classes into a notational hierarchy, supplemented by a network of relationships between topics, expressed in class descriptions and in the Relative Index (RI). Topics/subjects are expressed both by the natural language text of the caption and notes (including Manual notes) in a class description and by the controlled vocabulary of the RI's alphabetic index, which shows where topics are treated in the classificatory structure. The expression of relationships between topics depends on paradigmatic and syntagmatic relationships between natural language terms in captions, notes, and RI terms; on the meaning of specific note types; and on references recorded between RI terms. The specific means used in the DDC for capturing hierarchical (including disciplinary), equivalence and associative relationships are surveyed.
    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.: ¬The profession's models of information : a cognitive linguistic analysis (1991) 0.00
    0.0045843013 = product of:
      0.013752903 = sum of:
        0.013752903 = product of:
          0.027505806 = sum of:
            0.027505806 = weight(_text_:of in 2724) [ClassicSimilarity], result of:
              0.027505806 = score(doc=2724,freq=30.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.4014868 = fieldWeight in 2724, product of:
                  5.477226 = tf(freq=30.0), with freq of:
                    30.0 = termFreq=30.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2724)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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
    Source
    Journal of documentation. 47(1991) no.2, S.130-148
  4. Green, R.: Syntagmatic relationships in index languages : a reassessment (1995) 0.00
    0.0045800544 = product of:
      0.013740162 = sum of:
        0.013740162 = product of:
          0.027480325 = sum of:
            0.027480325 = weight(_text_:of in 3144) [ClassicSimilarity], result of:
              0.027480325 = score(doc=3144,freq=22.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.40111488 = fieldWeight in 3144, product of:
                  4.690416 = tf(freq=22.0), with freq of:
                    22.0 = termFreq=22.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3144)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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
  5. Green, R.: ¬The expression of conceptual syntagmatic relationships : a comparative survey (1995) 0.00
    0.00436691 = product of:
      0.01310073 = sum of:
        0.01310073 = product of:
          0.02620146 = sum of:
            0.02620146 = weight(_text_:of in 4475) [ClassicSimilarity], result of:
              0.02620146 = score(doc=4475,freq=20.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.38244802 = fieldWeight in 4475, product of:
                  4.472136 = tf(freq=20.0), with freq of:
                    20.0 = termFreq=20.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4475)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The expression of conceptual syntagmatic relationships in document retrieval systems holds out hope for both increased discrimination generally and increased recall in certain contexts. Such relationships require both a structured inventory of relationships. Examines the means of expressing these. The expression of conceptual syntagmatic relationships must comply with criteria of systematicity, complexity, efficiency and naturalness. Unfortunately, the complex interaction of natural language expression based on lexicalization, word order, function words, and morphosyntactic cases causes failure regarding systematicity. Most methods of expressing conceptual syntagmatic relationships, e.g. term co occurrence techniques, links and role indicators, fail to comply with this and other of the criteria. Only gestalt structures simultaneously representing relationships, participants and roles conform fully to the critical checklist
    Source
    Journal of documentation. 51(1995) no.4, S.315-338
  6. Green, R.: Development of a relational thesaurus (1996) 0.00
    0.004142815 = product of:
      0.012428444 = sum of:
        0.012428444 = product of:
          0.024856888 = sum of:
            0.024856888 = weight(_text_:of in 5159) [ClassicSimilarity], result of:
              0.024856888 = score(doc=5159,freq=18.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.36282203 = fieldWeight in 5159, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=5159)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Various shortcomings typically attend thesaural relationships: failure to support extended relevance relationships; lack of effort in identifying a common relational inventory across types of retrieval systems; limitation to binary relationships; inattention to relationships built into the meaning of lexical units. To counteract this failings, a preliminary inventory of relational structures underlying the ca. 1250 most frequently occuring English verbs is presented. The inventory is compact and corresponds to a combination of semantic role-based verb types as identified by Chafe (1970), and image schemata, as identified by Johnson (1987). The nature of hierarchical relationships among relational structures within the inventory is surveyed
    Source
    Knowledge organization and change: Proceedings of the Fourth International ISKO Conference, 15-18 July 1996, Library of Congress, Washington, DC. Ed.: R. Green
  7. Green, R.: Relationships in knowledge organization (2008) 0.00
    0.004142815 = product of:
      0.012428444 = sum of:
        0.012428444 = product of:
          0.024856888 = sum of:
            0.024856888 = weight(_text_:of in 2135) [ClassicSimilarity], result of:
              0.024856888 = score(doc=2135,freq=18.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.36282203 = fieldWeight in 2135, product of:
                  4.2426405 = tf(freq=18.0), with freq of:
                    18.0 = termFreq=18.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=2135)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Relationships that interconnect entity classes of import to knowledge organization (knowledge, documents, concepts, beings, information needs, language) include both non-subject bibliographic relationships (document-to-document relationships, responsibility relationships) and conceptual content relationships (subject relationships, relevance relationships). While the MARC format allows the recording of most bibliographic relationships, many of them are not expressed systematically. Conceptual content relationships include, in turn, interconcept and intraconcept relationships. The expression of interconcept relationships is covered by standard thesaural relationships, which typically do not distinguish fully between the underlying lexical relationship types. The full expression of complex intraconcept relationships includes indication of the basic nature of the relationship (including a set of semantic roles), the set of entities that participate in the relationship, and a mapping between participants and semantic roles. Knowledge organization schemes seldom express these relationships fully.
  8. Green, R.: ¬The design of a relational database for large-scale bibliographic retrieval (1996) 0.00
    0.0041003237 = product of:
      0.01230097 = sum of:
        0.01230097 = product of:
          0.02460194 = sum of:
            0.02460194 = weight(_text_:of in 7712) [ClassicSimilarity], result of:
              0.02460194 = score(doc=7712,freq=24.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.3591007 = fieldWeight in 7712, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=7712)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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
  9. Green, R.: ¬The role of relational structures in indexing for the humanities (1997) 0.00
    0.0041003237 = product of:
      0.01230097 = sum of:
        0.01230097 = product of:
          0.02460194 = sum of:
            0.02460194 = weight(_text_:of in 1786) [ClassicSimilarity], result of:
              0.02460194 = score(doc=1786,freq=24.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.3591007 = fieldWeight in 1786, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1786)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Develops a framework for evaluating the indexing needs of the humanities with reference to 4 set of contrasts: user-oriented vs. document oriented indexing; subject indexing vs. attribute indexing; scientific writing vs. humanistic writing; and topical relevance vs. logical relevance vs. evidential relevance vs. aesthetic relevance. The indexing needs of the humanities range broadly across these contrasts. Established the centrality of relationship to the communication of indexable matter and examines the advantages and disadvantages of means used for their expression in both natural languages and index languages. The use of a relational structure, such as a frame, is shown to represent perhaps the best available option. Illustrates where the use of relational structures in humanities indexing would help meet some of the needs previously identified. The adoption of frame-based indexing in the humanities might substantially improve the retrieval of its literature
  10. Green, R.: Semantic types, classes, and instantiation (2006) 0.00
    0.0041003237 = product of:
      0.01230097 = sum of:
        0.01230097 = product of:
          0.02460194 = sum of:
            0.02460194 = weight(_text_:of in 236) [ClassicSimilarity], result of:
              0.02460194 = score(doc=236,freq=24.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.3591007 = fieldWeight in 236, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=236)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Semantic types provide a level of abstraction over particulars with shared behavior, such as in the participant structure of semantic frames. The paper presents a preliminary investigation, drawing on data from WordNet and FrameNet, into the relationship between hierarchical level and the semantic types that name frame elements (a.k.a. slots). Patterns discovered include: (1) The level of abstraction of a frame is generally matched by the level of abstraction of its frame elements. (2) The roles played by persons tend to be expressed very specifically. (3) Frame elements that mirror the name of the frame tend to be expressed specifically. (4) Some frame participants tend to be expressed at a constant (general) level of abstraction, regardless of the level of abstraction of the overall frame.
    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  11. Green, R.: Topical relevance relationships : 2: an exploratory study and preliminary typology (1995) 0.00
    0.003925761 = product of:
      0.011777283 = sum of:
        0.011777283 = product of:
          0.023554565 = sum of:
            0.023554565 = weight(_text_:of in 3724) [ClassicSimilarity], result of:
              0.023554565 = score(doc=3724,freq=22.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.34381276 = fieldWeight in 3724, product of:
                  4.690416 = tf(freq=22.0), with freq of:
                    22.0 = termFreq=22.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3724)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The assumption of topic matching between user needs and texts topically relevant to those needs is often erroneous. Reports an emprical investigantion of the question 'what relationship types actually account for topical relevance'? In order to avoid the bias to topic matching search strategies, user needs are back generated from a randomly selected subset of the subject headings employed in a user oriented topical concordance. The corresponding relevant texts are those indicated in the concordance under the subject heading. Compares the topics of the user needs with the topics of the relevant texts to determine the relationships between them. Topical relevance relationships include a large variety of relationships, only some of which are matching relationships. Others are examples of paradigmatic or syntagmatic relationships. There appear to be no constraints on the kinds of relationships that can function as topical relevance relationships. They are distinguishable from other types of relationships only on functional grounds
    Source
    Journal of the American Society for Information Science. 46(1995) no.9, S.654-662
  12. Green, R.: ¬The role of relational structures in indexing for the humanities (1997) 0.00
    0.003925761 = product of:
      0.011777283 = sum of:
        0.011777283 = product of:
          0.023554565 = sum of:
            0.023554565 = weight(_text_:of in 474) [ClassicSimilarity], result of:
              0.023554565 = score(doc=474,freq=22.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.34381276 = fieldWeight in 474, product of:
                  4.690416 = tf(freq=22.0), with freq of:
                    22.0 = termFreq=22.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=474)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The paper is divided into 3 parts. The 1st develops a framework for evaluating the indexing needs of the humanities with reference to 4 sets of contrasts: user (need)-oriented vs. document-oriented indexing; subject indexing vs. attribute indexing; scientific writing vs. humanistic writing; and topical relevance vs. logical relevance vs. evidential relevance vs. aesthetic relevance. The indexing needs for the humanities range broadly across these contrasts. The 2nd part establishes the centrality of relationships to the communication of indexable matter and examines the advantages and disadvantages of means used for their expression inboth natural languages and indexing languages. The use of relational structure, such as a frame, is shown to represent perhaps the best available option. The 3rd part illustrates where the use of relational structures in humanities indexing would help meet some of the needs previously identified. Although not a panacea, the adoption of frame-based indexing in the humanities might substantially improve the retrieval of its literature
  13. Green, R.: Description in the electronic environment (1996) 0.00
    0.0039058835 = product of:
      0.01171765 = sum of:
        0.01171765 = product of:
          0.0234353 = sum of:
            0.0234353 = weight(_text_:of in 3685) [ClassicSimilarity], result of:
              0.0234353 = score(doc=3685,freq=16.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.34207192 = fieldWeight in 3685, product of:
                  4.0 = tf(freq=16.0), with freq of:
                    16.0 = termFreq=16.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3685)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The significant differences that exist between the print and digital worlds are sometimes felt to diminish the need for bibliographic description in the electronic world. An analysis of these differences, especially with respect to (1) the control of production and distribution of documents and (2) the need for software intermediation, coupled with a discussion of the functions of bibliographic description in the task of document retrieval argue, however, for an increased role for bibliographic description in the electronic world
    Source
    Knowledge organization and change: Proceedings of the Fourth International ISKO Conference, 15-18 July 1996, Library of Congress, Washington, DC. Ed.: R. Green
  14. Green, R.: See-also relationships in the Dewey Decimal Classification (2011) 0.00
    0.0039058835 = product of:
      0.01171765 = sum of:
        0.01171765 = product of:
          0.0234353 = sum of:
            0.0234353 = weight(_text_:of in 4615) [ClassicSimilarity], result of:
              0.0234353 = score(doc=4615,freq=16.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.34207192 = fieldWeight in 4615, product of:
                  4.0 = tf(freq=16.0), with freq of:
                    16.0 = termFreq=16.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4615)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This paper investigates the semantics of topical, associative see-also relationships in schedule and table entries of the Dewey Decimal Classification (DDC) system. Based on the see-also relationships in a random sample of 100 classes containing one or more of these relationships, a semi-structured inventory of sources of see-also relationships is generated, of which the most important are lexical similarity, complementarity, facet difference, and relational configuration difference. The premise that see-also relationships based on lexical similarity may be language-specific is briefly examined. The paper concludes with recommendations on the continued use of see-also relationships in the DDC.
  15. Green, R.; Bean, C.A.: Aligning systems of relationships (2006) 0.00
    0.003865822 = product of:
      0.011597466 = sum of:
        0.011597466 = product of:
          0.023194931 = sum of:
            0.023194931 = weight(_text_:of in 4949) [ClassicSimilarity], result of:
              0.023194931 = score(doc=4949,freq=12.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.33856338 = fieldWeight in 4949, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0625 = fieldNorm(doc=4949)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The lateral relations of Neelameghan and Raghavan are mapped to their closest correspondents in FrameNet. Analvsis of this alignment highlights important characteristics of each system of relationships and reveals varying degrees of compatibility between them.
  16. Green, R.: Relationships in the Dewey Decimal Classification (DDC) : plan of study (2008) 0.00
    0.003865822 = product of:
      0.011597466 = sum of:
        0.011597466 = product of:
          0.023194931 = sum of:
            0.023194931 = weight(_text_:of in 3397) [ClassicSimilarity], result of:
              0.023194931 = score(doc=3397,freq=12.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.33856338 = fieldWeight in 3397, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0625 = fieldNorm(doc=3397)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    EPC Exhibit 129-36.1 presented intermediate results of a project to connect Relative Index terms to topics associated with classes and to determine if those Relative Index terms approximated the whole of the corresponding class or were in standing room in the class. The Relative Index project constitutes the first stage of a long(er)-term project to instill a more systematic treatment of relationships within the DDC. The present exhibit sets out a plan of study for that long-term project.
  17. Green, R.: Topical relevance relationships : 1: why topic matching fails (1995) 0.00
    0.003743066 = product of:
      0.0112291975 = sum of:
        0.0112291975 = product of:
          0.022458395 = sum of:
            0.022458395 = weight(_text_:of in 3722) [ClassicSimilarity], result of:
              0.022458395 = score(doc=3722,freq=20.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32781258 = fieldWeight in 3722, product of:
                  4.472136 = tf(freq=20.0), with freq of:
                    20.0 = termFreq=20.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3722)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Presents conceptual background. Since topicality is a major factor in relevance, it is crucial to identify the range of relationship types that occur between the topics of user needs and the topics of texts relevant to those needs. Assumes that a single relationship type obtains i.e. that the 2 topics match. Evidence from the analysis of recall failures, citation analysis, and knowledge synthesis suggests otherwise: topical relevance relationships are not limited to topic matching relationships; to the contrary, in certain circumstances they are quite likely not to be matching relationships. Relationships are 1 of the 2 fundamental components of human conceptual systems. Attempts to classify them usually accept a distinction between relationships that occur by virute of the combination of component units (syntagmatic relationships) and relationships that are bulit into the language system (paradigmatic relationships). Given the variety of relationship types previously identified, empirical research is needed to determine the subset that actually account for topical relevance
    Source
    Journal of the American Society for Information Science. 46(1995) no.9, S.646-653
  18. Green, R.; Panzer, M.: Relations in the notational hierarchy of the Dewey Decimal Classification (2011) 0.00
    0.0036907129 = product of:
      0.011072138 = sum of:
        0.011072138 = product of:
          0.022144277 = sum of:
            0.022144277 = weight(_text_:of in 4823) [ClassicSimilarity], result of:
              0.022144277 = score(doc=4823,freq=28.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32322758 = fieldWeight in 4823, product of:
                  5.2915025 = tf(freq=28.0), with freq of:
                    28.0 = termFreq=28.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4823)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    As part of a larger assessment of relationships in the Dewey Decimal Classification (DDC) system, this study investigates the semantic nature of relationships in the DDC notational hierarchy. The semantic relationship between each of a set of randomly selected classes and its parent class in the notational hierarchy is examined against a set of relationship types (specialization, class-instance, several flavours of whole-part).The analysis addresses the prevalence of specific relationship types, their lexical expression, difficulties encountered in assigning relationship types, compatibility of relationships found in the DDC with those found in other knowledge organization systems (KOS), and compatibility of relationships found in the DDC with those in a shared formalism like the Web Ontology Language (OWL). Since notational hierarchy is an organizational mechanism shared across most classification schemes and is often considered to provide an easy solution for ontological transformation of a classification system, the findings of the study are likely to generalize across classification schemes with respect to difficulties that might be encountered in such a transformation process.
    Source
    Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero
  19. Green, R.: Relationships in the organization of knowledge : an overview (2001) 0.00
    0.0036536194 = product of:
      0.010960858 = sum of:
        0.010960858 = product of:
          0.021921717 = sum of:
            0.021921717 = weight(_text_:of in 1142) [ClassicSimilarity], result of:
              0.021921717 = score(doc=1142,freq=14.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.31997898 = fieldWeight in 1142, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1142)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Relationships are specified by simultaneously identifying a semantic relationship and the set of participants involved in it, pairing each participant with its role in the relationship. Properties pertaining to the participant set and the nature of the relationship are explored. Relationships in the organization of knowledge are surveyed, encompassing relationships between units of recorded knowledge based an descriptions of those units; intratextual and intertextual relationships, including relationships based an text structure, citation relationships, and hypertext links; subject relationships in thesauri and other classificatory structures, including relationships for literature-based knowledge discovery; and relevance relationships.
    Source
    Relationships in the organization of knowledge. Eds.: Bean, C.A. u. R. Green
  20. Green, R.: Attribution and relationality (1998) 0.00
    0.0035289964 = product of:
      0.010586989 = sum of:
        0.010586989 = product of:
          0.021173978 = sum of:
            0.021173978 = weight(_text_:of in 6425) [ClassicSimilarity], result of:
              0.021173978 = score(doc=6425,freq=10.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.3090647 = fieldWeight in 6425, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0625 = fieldNorm(doc=6425)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    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
    Source
    Structures and relations in knowledge organization: Proceedings of the 5th International ISKO-Conference, Lille, 25.-29.8.1998. Ed.: W. Mustafa el Hadi et al