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  • × theme_ss:"Multilinguale Probleme"
  • × theme_ss:"Theorie verbaler Dokumentationssprachen"
  1. Neelameghan, A.: Lateral relationships in multicultural, multilingual databases in the spiritual and religious domains : the OM Information service (2001) 0.02
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    Abstract
    Mapping a multidimensional universe of subjects for linear representation, such as in class number, subject heading, and faset structure is problematic. Into this context is recalled the near-seminal and postulational approach suggested by S. R Ranganathan. The non-hierarchical associative relationship or lateral relationship (LR) is distinguished at different levels-among information sources, databases, records of databases, and among concepts (LR-0). Over thirty lateral relationships at the concept level (LR-0) are identified and enumerated with examples from spiritual and religious texts. Special issues relating to LR-0 in multicultural, multilingual databases intended to be used globally by peoples of different cultures and faith are discussed, using as example the multimedia OM Information Service. Vocabulary assistance for users is described.
    Series
    Information science and knowledge management; vol.2
    Source
    Relationships in the organization of knowledge. Eds.: Bean, C.A. u. R. Green
  2. Panzer, M.: Semantische Integration heterogener und unterschiedlichsprachiger Wissensorganisationssysteme : CrissCross und jenseits (2008) 0.01
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    Source
    Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
  3. Evens, M.: Thesaural relations in information retrieval (2002) 0.01
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    Abstract
    Thesaural relations have long been used in information retrieval to enrich queries; they have sometimes been used to cluster documents as well. Sometimes the first query to an information retrieval system yields no results at all, or, what can be even more disconcerting, many thousands of hits. One solution is to rephrase the query, improving the choice of query terms by using related terms of different types. A collection of related terms is often called a thesaurus. This chapter describes the lexical-semantic relations that have been used in building thesauri and summarizes some of the effects of using these relational thesauri in information retrieval experiments
    Series
    Information science and knowledge management; vol.3