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  1. Braslavskii, P.I.; Gol'dshtein, S.L.; Tkachenko, T.Y.: Tezaurus kak sredstvo opisanii sistem znanii (1997) 0.07
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    Abstract
    Discusses the history of the development of thesauri and considers the feasibility of using them as a means for the description of knowledge systems. Contemporary computing technology makes it possible to compile highly effective thesauri, which can be used as a tool for the development of complex databases and knowledge systems
    Footnote
    Übers. des Titels: Thesaurus as a means for description of knowledge systems
    Source
    Nauchno- Tekhnicheskaya Informatsiya; Series 2. 1997, no.11, S.16-22
  2. Khytoretskii, V.M.; Efremenkova, V.M.; Tartakovskii, V.A.: Sootnoshenie klassifikatsionykh skhem bazy dannykh Chemical Abstracts i sootvetstvuyushchikh ei chastei sistemy baz dannykh VINITI (2000) 0.06
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    Date
    1. 4.2002 13:36:22
    Footnote
    Übers. des Titels: Classification systems of Chemical Abstracts and of corresponding parts of the database of VINITI
  3. Lovtsov, D.A.: Informatsionnye otsenki tekhnologicheskoi effektivnosti pererabotki informatsii (1997) 0.05
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    Abstract
    Examines the formal relationships between global and local indices of the effectiveness of the processing of information in automated information systems, including, for example, the rationale use of information resources, and reliability. Shows that the global effectiveness does not exceed the local effectiveness of the elements of the system in question
    Source
    Nauchno- Tekhnicheskaya Informatsiya; Series 2. 1997, no.11, S.22-26
  4. Tereshchenko, S.S.: Struktury dannykh v avtomatizirrovannykh informatsionnykh sistemakh (1997) 0.03
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    Abstract
    Examines the structure of data stored in automated systems, from both the formal and semantic viewpoint. The following systems are considered: automated control systems, automated information retrieval systems and automated systems for the storage of scientific and technical information
    Footnote
    Übers. des Titels: Structure of data stored in automated information systems
  5. Androvic, A.: ¬1. Medzinarodny kngres CDS/ISIS, Bogota, Kolumbia 22.-26.5.1995 (1996) 0.02
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    Footnote
    Übers. des Titels: 1st International CDS/ISIS Congress, Bogota, Columbia 22-26 May 1995
  6. Makulova, S.: Hypertextove systemy v aplikaciach (1993) 0.02
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    Abstract
    Explains the principles of hypertext systems and defines these as information management systems characterised by their ability to provide links between individual text segments. Describes and compares the characteristics of 3 systems: HYPERTIES, GUIDE and INTERES. Descusses hardware rewuirements: all 3 will run on IBM compatible personal computers, with preferably 1 MB RAM, either under MS DOS (HYPERTIES and INTERES) or Windows (GUIDE). Concludes that GUIDE, with complex retrieval functions, seems to be the most sophisticated hypertext tool of those evaluated
  7. Ciganik, M.: Pred koordinaciou a kooperaciou informacnych systemov (1997) 0.02
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    Abstract
    The information requirements for library users can only be met if individual information systems are compatible, i.e. based on the use of a single information language. Points out that natural language is the best instrument for integration of information systems. Presents a model of the strucutre of natural language, extended by metaknowledge elements which makes it possible to analyse and represent text without the need for syntax analysis
    Footnote
    Übers. des Titels: Coordination of information systems
  8. Tsareva, P.V.: Algoritmy dlya raspoznavaniya pozitivnykh i negativnykh vkhozdenii deskriptorov v tekst i protsedura avtomaticheskoi klassifikatsii tekstov (1999) 0.02
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    Date
    1. 4.2002 10:22:41
  9. Belonogov, G.G.: Sistemy frazeologicheskogo machinnogo perevoda RETRANS i ERTRANS v seti Internet (2000) 0.02
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    Footnote
    Übers. des Titels: Phraseological machine translation systems RETRANS and ERTRANS on the Internet
  10. Selisskaya, M.A.: Ispol'zovanie mashinnogo obucheniya pri avtomaticheskoi klassifikatsii tekstov (1999) 0.02
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    Footnote
    Übers. des Titels: Machine learning as a tool for development of automated text indexing systems
  11. Tereshchenko, S.S.: Struktury dannykh v informatsionnykh sistemakh slozhnoi struktury : Mikrostrukturizatsiya (1997) 0.02
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    Abstract
    Examines some of the existing definitions of the term 'data structure' and discusses the structure of the following systems:operational systems; languages used to construct algorithms; and structure of languages used to describe data stored in databases and databanks
    Footnote
    Übers. des Titels: Structure of data stored in complex information systems: microstructuring
  12. Beloozerov, V.N.; Radkovskii, G.N.; Kosarskaya, Y.P.: Prakticheskaya transliteratsiya russkogo teksta latinskim alfavitom (1997) 0.02
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    Abstract
    Examines and compares the existing systems for transliteration of Cyrillic characters, including the standard English transliteration system as well as the ISO, ANSI and BSI systems. Presents a proposal for a new computerised transliteration system which would make it possible to transliterate Cyrillic characters and, it required, convert the transliterated Latin characters into Cyrilic
  13. Tupchienko-Kadyrova, L.G.: Ob odnom podkhode k ponimaniyu gipertekstovykh sistem (1998) 0.02
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    Abstract
    There are 2 types of hypertext systems: the first incorporates hypertext links without identifying their essence while the second uses text fragments as tools for knowledge systematisation. Examines the feasibility of using the second type as an instrument for the setting up of knowledge databases
    Footnote
    Übers. des Titels: Understanding hypertext systems
  14. Zendulkova, D.: Nova prirucka pre pouzivatel'ov CDS/ISIS (1998) 0.01
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    Date
    22. 2.1999 13:48:26
  15. Sokirko, A.V.: Obzor zarubezhnykh sistem avtomaticheskoi obrabotki teksta, ispol'zuyushchikh poverkhnosto-semanticheskoe predstavlenie, i mashinnykh sematicheskikh slovarei (2000) 0.01
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    Footnote
    Übers. des Titels: Review of foreign systems for automated text processing using semantic presentations and electronic semantic dictionaries
  16. Efremenkova, V.M.; Kamenskaya, M.A.; Khutoretskii, V.M.: Sootnoshenien klassifikasionnykh sistem bazy dannykh Chemical Abstracts i sootvetstvuyushchikh ei chastei sistemy baz dannykh VINITI (1999) 0.01
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    Footnote
    Übers. des Titels: Comparison of classification systems used by Chemical Abstracts and by the All-Russian Institute of Scientific and Technical Information in the corresponding section of the VINITI database
  17. Ciganik, M.: Inteligencne indexovanie a inteligencne klasifikacie (1994) 0.01
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    Abstract
    Examines the shortcomings of traditional indexing and classification methods. Artificial intelligence systems may provide the answer to the problem of improving indexing and classification effectiveness. presents a conceptual modelling method which can be used as a basis for conceptual indexing, i.e. a model of knowledge structures suitable for automatic text analysis and, consequently, for compilation of association thesauri for text databases
  18. Solov'eva, E.A.: ¬O edinoi modeli ponyatiinykh znanii, sistemy terminov i predmetnoi oblasti (1997) 0.01
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    Abstract
    Examines the relationship between conceptual, cognitive and linguistic models and argues that the principles of these models are identical. Presents a mathematical approach to designing a single model of a subject area incorporating terminology and knowledge models. The presented method can be used as a tool for numerous tasks, including the design of intellectual systems based on the principle of cognitive structures
  19. Zakharov, V.P.; Pimenov, E.N.: Estetsvenno-yazykovoi podkhod k sozdaniyu lingvisticheskogo obespecheniya informatsiionno-poiskovykh sistem (1997) 0.01
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    Footnote
    Übers. des Titels: Natural language approach to development of retrieval tools for information retrieval systems
  20. Kuznetsov, N.A.: O razvitii fundamentalnykh issledovanii po informatsionnomu vzaimodeistviyu v prirode i obshchestve (1998) 0.01
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    Abstract
    Claims that 'informatics' is a scientific discipline devoted to all information processes taking place in nature, technical systems, living organisms and society. Argues that information as a 'description of objects or phenomena'. Interactions of objects or phenomena, followed by changes in knowledge, are called 'information interactions'. Explains the principles of information interactions and the laws governing this discipline