Search (105 results, page 1 of 6)

  • × theme_ss:"Theorie verbaler Dokumentationssprachen"
  1. Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2010) 0.04
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    Date
    2. 3.2013 12:29:05
    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
  2. Bhattacharyya, G.: ¬A general theory of subject headings (1974) 0.03
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    Source
    Library science with a slant to documentation. 11(1974), S.23-29
    Type
    a
  3. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.03
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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
  4. Mikacic, M.: Statistical system for subject designation (SSSD) for libraries in Croatia (1996) 0.02
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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
  5. Francu, V.: ¬A linguistic approach to information languages (2003) 0.02
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    Date
    11. 6.2005 19:38:29
    Type
    a
  6. Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.02
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    Pages
    S.11-22
    Type
    a
  7. Green, R.; Bean, C.A.: Aligning systems of relationships (2006) 0.01
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    Date
    29. 2.2008 19:20:53
    Source
    Knowledge organization, information systems and other essays: Professor A. Neelameghan Festschrift. Ed. by K.S. Raghavan and K.N. Prasad
    Type
    a
  8. Green, R.; Fraser, L.: Patterns in verbal polysemy (2004) 0.01
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    Abstract
    Although less well studied than noun polysemy, verb polysemy affects both natural language and controlled vocabulary searching. This paper reports the preliminary conclusions of an empirical investigation of the semantic relationships between ca. 600 verb sense pairs in English, illustrating six classes of semantic relationships that account for a significant proportion of verbal polysemy.
    Pages
    S.29-34
    Type
    a
  9. Dextre Clarke, S.G.: Thesaural relationships (2001) 0.01
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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
  10. Miller, U.; Teitelbaum, R.: Pre-coordination and post-coordination : past and future (2002) 0.01
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    Abstract
    This article deals with the meaningful processing of information in relation to two systems of Information processing: pre-coordination and post-coordination. The different approaches are discussed, with emphasis an the need for a controlled vocabulary in information retrieval. Assigned indexing, which employs a controlled vocabulary, is described in detail. Types of indexing language can be divided into two broad groups - those using pre-coordinated terms and those depending an post-coordination. They represent two different basic approaches in processing and Information retrieval. The historical development of these two approaches is described, as well as the two tools that apply to these approaches: thesauri and subject headings.
    Source
    Knowledge organization. 29(2002) no.2, S.87-93
    Type
    a
  11. Gilchrist, A.: Structure and function in retrieval (2006) 0.01
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    Abstract
    Purpose - This paper forms part of the series "60 years of the best in information research", marking the 60th anniversary of the Journal of Documentation. It aims to review the influence of Brian Vickery's 1971 paper, "Structure and function in retrieval languages". The paper is not an update of Vickery's work, but a comment on a greatly changed environment, in which his analysis still has much validity. Design/methodology/approach - A commentary on selected literature illustrates the continuing relevance of Vickery's ideas. Findings - Generic survey and specific reference are still the main functions of retrieval languages, with minor functional additions such as relevance ranking. New structures are becoming increasingly significant, through developments such as XML. Future development in artificial intelligence hold out new prospects still. Originality/value - The paper shows the continuing relevance of "traditional" ideas of information science from the 1960s and 1970s.
    Source
    Journal of documentation. 62(2006) no.1, S.21-29
    Type
    a
  12. Svenonius, E.: LCSH: semantics, syntax and specifity (2000) 0.01
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    Abstract
    This paper looks at changes affecting LCSH over its 100-year history. Adopting a linguistic conceptualization, it frames these changes as relating to the semantics, syntax and pragmatics of the LCSH language. While its category semantics has remained stable over time, the LCSH relational semantics underwent a significant upheaval when a thesaural structure was imposed upon its traditional See and See also structure. Over time the LCSH syntax has become increasingly complex as it has moved from being largely enumerative to in large part synthetic. Until fairly recently the LCSH pragmatics consisted of only one rule, viz, the injunction to assign specific headings. This rule, always controversial, has become even more debated and interpreted with the move to the online environment
    Series
    Cataloging and classification quarterly; vol.29, nos.1/2
    Type
    a
  13. Svenonius, E.: LCSH: semantics, syntax and specifity (2000) 0.01
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    Abstract
    This paper looks at changes affecting LCSH over its 100-year history. Adopting a linguistic conceptualization, it frames these changes as relating to the semantics, syntax and pragmatics of the LCSH language. While its category semantics has remained stable over time, the LCSH relational semantics underwent a significant upheaval when a thesaural structure was imposed upon its traditional See and See also structure. Over time the LCSH syntax has become increasingly complex as it has moved from being largely enumerative to in large part synthetic. Until fairly recently the LCSH pragmatics consisted of only one rule, viz, the injunction to assign specific headings. This rule, always controversial, has become even more debated and interpreted with the move to the online environment
    Series
    Cataloging and classification quarterly; vol.29, nos.1/2
    Type
    a
  14. Maniez, J.: Fusion de banques de donnees documentaires at compatibilite des languages d'indexation (1997) 0.01
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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
  15. Hoerman, H.L.; Furniss, K.A.: Turning practice into principles : a comparison of the IFLA Principles underlying Subject Heading Languages (SHLs) and the principles underlying the Library of Congress Subject Headings system (2000) 0.01
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    Abstract
    The IFLA Section on Classification and Indexing's Working Group on Principles Underlying Subject Headings Languages has identified a set of eleven principles for subject heading languages and excerpted the texts that match each principle from the instructions for each of eleven national subject indexing systems, including excerpts from the LC's Subject Cataloging Manual: Subject Headings. This study compares the IFLA principles with other texts that express the principles underlying LCSH, especially Library of Congress Subject Headings: Principles of Structure and Policies for Application, prepared by Lois Mai Chan for the Library of Congress in 1990, Chan's later book on LCSH, and earlier documents by Haykin and Cutter. The principles are further elaborated for clarity and discussed
    Series
    Cataloging and classification quarterly; vol.29, nos.1/2
    Type
    a
  16. Degez, D.: Compatibilité des langages d'indexation mariage, cohabitation ou fusion? : Quelques examples concrèts (1998) 0.01
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    Date
    1. 8.1996 22:01:00
    Type
    a
  17. Fugmann, R.: ¬The complementarity of natural and index language in the field of information supply : an overview of their specific capabilities and limitations (2002) 0.01
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    Abstract
    Natural text phrasing is an indeterminate process and, thus, inherently lacks representational predictability. This holds true in particular in the Gase of general concepts and of their syntactical connectivity. Hence, natural language query phrasing and searching is an unending adventure of trial and error and, in most Gases, has an unsatisfactory outcome with respect to the recall and precision ratlos of the responses. Human indexing is based an knowledgeable document interpretation and aims - among other things - at introducing predictability into the representation of documents. Due to the indeterminacy of natural language text phrasing and image construction, any adequate indexing is also indeterminate in nature and therefore inherently defies any satisfactory algorithmization. But human indexing suffers from a different Set of deficiencies which are absent in the processing of non-interpreted natural language. An optimally effective information System combines both types of language in such a manner that their specific strengths are preserved and their weaknesses are avoided. lf the goal is a large and enduring information system for more than merely known-item searches, the expenditure for an advanced index language and its knowledgeable and careful employment is unavoidable.
    Source
    Knowledge organization. 29(2002) nos.3/4, S.217-230
    Type
    a
  18. Jia, J.: From data to knowledge : the relationships between vocabularies, linked data and knowledge graphs (2021) 0.01
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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
  19. Mai, J.-E.: Actors, domains, and constraints in the design and construction of controlled vocabularies (2008) 0.01
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    Abstract
    Classification schemes, thesauri, taxonomies, and other controlled vocabularies play important roles in the organization and retrieval of information in many different environments. While the design and construction of controlled vocabularies have been prescribed at the technical level in great detail over the past decades, the methodological level has been somewhat neglected. However, classification research has in recent years focused on developing approaches to the analysis of users, domains, and activities that could produce requirements for the design of controlled vocabularies. Researchers have often argued that the design, construction, and use of controlled vocabularies need to be based on analyses and understandings of the contexts in which these controlled vocabularies function. While one would assume that the growing body of research on human information behavior might help guide the development of controlled vocabularies shed light on these contexts, unfortunately, much of the research in this area is descriptive in nature and of little use for systems design. This paper discusses these trends and outlines a holistic approach that demonstrates how the design of controlled vocabularies can be informed by investigations of people's interactions with information. This approach is based on the Cognitive Work Analysis framework and outlines several dimensions of human-information interactions. Application of this approach will result is a comprehensive understanding of the contexts in which the controlled vocabulary will function and which can be used for the development of for the development of controlled vocabularies.
    Source
    Knowledge organization. 35(2008) no.1, S.16-29
    Type
    a
  20. 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

Languages

  • e 81
  • d 21
  • f 2
  • ja 1
  • More… Less…

Types

  • a 96
  • s 5
  • m 4
  • el 3
  • r 2
  • x 1
  • More… Less…

Classifications