Search (104 results, page 1 of 6)

  • × theme_ss:"Theorie verbaler Dokumentationssprachen"
  1. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.05
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    Date
    8.10.2000 11:52:22
    Source
    Library science with a slant to documentation. 28(1991) no.4, S.125-130
    Type
    a
  2. Mikacic, M.: Statistical system for subject designation (SSSD) for libraries in Croatia (1996) 0.04
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    Abstract
    Describes the developments of the Statistical System for Subject Designation (SSSD): a syntactical system for subject designation for libraries in Croatia, based on the construction of subject headings in agreement with the theory of the sentence nature of subject headings. The discussion is preceded by a brief summary of theories underlying basic principles and fundamental rules of the alphabetical subject catalogue
    Date
    31. 7.2006 14:22:21
    Source
    Cataloging and classification quarterly. 22(1996) no.1, S.77-93
    Type
    a
  3. Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.03
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    Pages
    S.11-22
    Type
    a
  4. Dextre Clarke, S.G.: Thesaural relationships (2001) 0.02
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    Abstract
    A thesaurus in the controlled vocabulary environment is a tool designed to support effective infonnation retrieval (IR) by guiding indexers and searchers consistently to choose the same terms for expressing a given concept or combination of concepts. Terms in the thesaurus are linked by relationships of three well-known types: equivalence, hierarchical, and associative. The functions and properties of these three basic types and some subcategories are described, as well as some additional relationship types conunonly found in thesauri. Progressive automation of IR processes and the capability for simultaneous searching of vast networked resources are creating some pressures for change in the categorization and consistency of relationships.
    Date
    22. 9.2007 15:45:57
    Type
    a
  5. Degez, D.: Compatibilité des langages d'indexation mariage, cohabitation ou fusion? : Quelques examples concrèts (1998) 0.02
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    Date
    1. 8.1996 22:01:00
    Type
    a
  6. Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2010) 0.02
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    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
    Type
    a
  7. Maniez, J.: Fusion de banques de donnees documentaires at compatibilite des languages d'indexation (1997) 0.02
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    Abstract
    Discusses the apparently unattainable goal of compatibility of information languages. While controlled languages can improve retrieval performance within a single system, they make cooperation across different systems more difficult. The Internet and downloading accentuate this adverse outcome and the acceleration of data exchange aggravates the problem of compatibility. Defines this familiar concept and demonstrates that coherence is just as necessary as it was for indexing languages, the proliferation of which has created confusion in grouped data banks. Describes 2 types of potential solutions, similar to those applied to automatic translation of natural languages: - harmonizing the information languages themselves, both difficult and expensive, or, the more flexible solution involving automatic harmonization of indexing formulae based on pre established concordance tables. However, structural incompatibilities between post coordinated languages and classifications may lead any harmonization tools up a blind alley, while the paths of a universal concordance model are rare and narrow
    Date
    1. 8.1996 22:01:00
    Type
    a
  8. Jia, J.: From data to knowledge : the relationships between vocabularies, linked data and knowledge graphs (2021) 0.02
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    Abstract
    Purpose The purpose of this paper is to identify the concepts, component parts and relationships between vocabularies, linked data and knowledge graphs (KGs) from the perspectives of data and knowledge transitions. Design/methodology/approach This paper uses conceptual analysis methods. This study focuses on distinguishing concepts and analyzing composition and intercorrelations to explore data and knowledge transitions. Findings Vocabularies are the cornerstone for accurately building understanding of the meaning of data. Vocabularies provide for a data-sharing model and play an important role in supporting the semantic expression of linked data and defining the schema layer; they are also used for entity recognition, alignment and linkage for KGs. KGs, which consist of a schema layer and a data layer, are presented as cubes that organically combine vocabularies, linked data and big data. Originality/value This paper first describes the composition of vocabularies, linked data and KGs. More importantly, this paper innovatively analyzes and summarizes the interrelatedness of these factors, which comes from frequent interactions between data and knowledge. The three factors empower each other and can ultimately empower the Semantic Web.
    Date
    22. 1.2021 14:24:32
    Type
    a
  9. Mooers, C.N.: ¬The indexing language of an information retrieval system (1985) 0.01
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    Abstract
    Calvin Mooers' work toward the resolution of the problem of ambiguity in indexing went unrecognized for years. At the time he introduced the "descriptor" - a term with a very distinct meaning-indexers were, for the most part, taking index terms directly from the document, without either rationalizing them with context or normalizing them with some kind of classification. It is ironic that Mooers' term came to be attached to the popular but unsophisticated indexing methods which he was trying to root out. Simply expressed, what Mooers did was to take the dictionary definitions of terms and redefine them so clearly that they could not be used in any context except that provided by the new definition. He did, at great pains, construct such meanings for over four hundred words; disambiguation and specificity were sought after and found for these words. He proposed that all indexers adopt this method so that when the index supplied a term, it also supplied the exact meaning for that term as used in the indexed document. The same term used differently in another document would be defined differently and possibly renamed to avoid ambiguity. The disambiguation was achieved by using unabridged dictionaries and other sources of defining terminology. In practice, this tends to produce circularity in definition, that is, word A refers to word B which refers to word C which refers to word A. It was necessary, therefore, to break this chain by creating a new, definitive meaning for each word. Eventually, means such as those used by Austin (q.v.) for PRECIS achieved the same purpose, but by much more complex means than just creating a unique definition of each term. Mooers, however, was probably the first to realize how confusing undefined terminology could be. Early automatic indexers dealt with distinct disciplines and, as long as they did not stray beyond disciplinary boundaries, a quick and dirty keyword approach was satisfactory. The trouble came when attempts were made to make a combined index for two or more distinct disciplines. A number of processes have since been developed, mostly involving tagging of some kind or use of strings. Mooers' solution has rarely been considered seriously and probably would be extremely difficult to apply now because of so much interdisciplinarity. But for a specific, weIl defined field, it is still weIl worth considering. Mooers received training in mathematics and physics from the University of Minnesota and the Massachusetts Institute of Technology. He was the founder of Zator Company, which developed and marketed a coded card information retrieval system, and of Rockford Research, Inc., which engages in research in information science. He is the inventor of the TRAC computer language.
    Footnote
    Original in: Information retrieval today: papers presented at an Institute conducted by the Library School and the Center for Continuation Study, University of Minnesota, Sept. 19-22, 1962. Ed. by Wesley Simonton. Minneapolis, Minn.: The Center, 1963. S.21-36.
    Source
    Theory of subject analysis: a sourcebook. Ed.: L.M. Chan, et al
    Type
    a
  10. Bhattacharyya, G.: ¬A general theory of subject headings (1974) 0.00
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    Source
    Library science with a slant to documentation. 11(1974), S.23-29
    Type
    a
  11. Melton, J.S.: ¬A use for the techniques of structural linguistics in documentation research (1965) 0.00
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    Abstract
    Index language (the system of symbols for representing subject content after analysis) is considered as a separate component and a variable in an information retrieval system. It is suggested that for purposes of testing, comparing and evaluating index language, the techniques of structural linguistics may provide a descriptive methodology by which all such languages (hierarchical and faceted classification, analytico-synthetic indexing, traditional subject indexing, indexes and classifications based on automatic text analysis, etc.) could be described in term of a linguistic model, and compared on a common basis
    Type
    a
  12. Bonzi, S.: Terminological consistency in abstract and concrete disciplines (1984) 0.00
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    Abstract
    This study tested the hypothesis that the vocabulary of a discipline whose major emphasis is on concrete phenomena will, on the average, have fewer synonyms per concept than will the vocabulary of a discipline whose major emphasis is on abstract phenomena. Subject terms from each of two concrete disciplines and two abstract disciplines were analysed. Results showed that there was a significant difference at the 05 level between concrete and abstract disciplines but that the significant difference was attributable to only one of the abstract disciplines. The other abstract discipline was not significantly different from the two concrete disciplines. It was concluded that although thee is some support for the hypothesis, at least one other factor has a stronger influence on terminological consistency than the phenomena with which a subject deals
    Type
    a
  13. Szostak, R.: Classifying relationships (2012) 0.00
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    Abstract
    This paper develops a classification of relationships among things, with many potential uses within information science. Unlike previous classifications of relationships, it is hoped that this classification will provide benefits that exceed the costs of application. The major theoretical innovation is to stress the importance of causal relationships, albeit not exclusively. The paper also stresses the advantages of using compounds of simpler terms: verbs compounded with other verbs, adverbs, or things. The classification builds upon a review of the previous literature and a broad inductive survey of potential sources in a recent article in this journal. The result is a classification that is both manageable in size and easy to apply and yet encompasses all of the relationships necessary for classifying documents or even ideas.
    Type
    a
  14. Szostak, R.: Toward a classification of relationships (2012) 0.00
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    Abstract
    Several attempts have been made to develop a classification of relationships, but none of these have been widely accepted or applied within information science. It would seem that information scientists, while appreciating the potential value of a classification of relationships, have found all previous classifications to be too complicated in application relative to the benefits they provide. This paper begins by reviewing previous attempts and drawing lessons from these. It then surveys a range of sources within and beyond the field of knowledge organization that can together provide the basis for the development of a novel classification of relationships. One critical insight is that relationships governing causation/influence should be accorded priority.
    Type
    a
  15. Gopinath, M.A.; Prasad, K.N.: Compatibility of the principles for design of thesaurus and classification scheme (1976) 0.00
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    Source
    Library science with a slant to documentation. 13(1976) no.2, S.56-66
    Type
    a
  16. Vickery, B.B.: Structure and function in retrieval languages (2006) 0.00
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    Abstract
    Purpose - The purpose of this paper is to summarize the varied structural characteristics which may be present in retrieval languages. Design/methodology/approach - The languages serve varied purposes in information systems, and a number of these are identified. The relations between structure and function are discussed and suggestions made as to the most suitable structures needed for various purposes. Findings - A quantitative approach has been developed: a simple measure is the number of separate terms in a retrieval language, but this has to be related to the scope of its subject field. Some ratio of terms to items in the field seems a more suitable measure of the average specificity of the terms. Other aspects can be quantified - for example, the average number of links in hierarchical chains, or the average number of cross-references in a thesaurus. Originality/value - All the approaches to the analysis of retrieval language reported in this paper are of continuing value. Some practical studies of computer information systems undertaken by Aslib Research Department have suggested a further approach.
    Type
    a
  17. Fugmann, R.: ¬Die Aufgabenteilung zwischen Wortschatz und Grammatik in einer Indexsprache (1979) 0.00
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    Type
    a
  18. Fugmann, R.: ¬Die Grenzen des Thesaurus-Verfahrens bei der Wiedergabe von Begriffsrelationen (1975) 0.00
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    Type
    a
  19. Fox, E.A.: Lexical relations : enhancing effectiveness of information retrieval systems (1980) 0.00
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    Type
    a
  20. Fugmann, R.: ¬The complementarity of natural and indexing languages (1982) 0.00
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    Type
    a

Languages

  • e 81
  • d 20
  • f 2
  • ja 1
  • More… Less…

Types

  • a 96
  • s 5
  • m 4
  • el 3
  • r 2
  • More… Less…

Classifications