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  • × author_ss:"Chowdhury, G.G."
  1. Chowdhury, G.G.; Mahapatra, M.: Applications of the theory of relational analysis in information retrieval (1990) 0.00
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    Source
    Journal of library and information science (India). 14(1990) no.1, S.1-12
    Year
    1990
  2. Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.00
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    Date
    2. 4.2000 18:01:22
  3. Chowdhury, G.G.; Neelameghan, A.; Chowdhury, S.: VOCON: Vocabulary control online in MicroIsis databases (1995) 0.00
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    Source
    Knowledge organization. 22(1995) no.1, S.18-22
  4. Chowdhury, G.G.: Introduction to modern information retrieval (2010) 0.00
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    Year
    2010
  5. Chowdhury, G.G.: Introduction to modern information retrieval (1999) 0.00
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    Content
    Enthält die Kapitel: 1. Basic concepts of information retrieval systems, 2. Database technology, 3. Bibliographic formats, 4. Subject analysis and representation, 5. Automatic indexing and file organization, 6. Vocabulary control, 7. Abstracts and abstracting, 8. Searching and retrieval, 9. Users of information retrieval, 10. Evaluation of information retrieval systems, 11. Evaluation experiments, 12. Online information retrieval, 13. CD-ROM information retrieval, 14. Trends in CD-ROM and online information retrieval, 15. Multimedia information retrieval, 16. Hypertext and hypermedia systems, 17. Intelligent information retrieval, 18. Natural language processing and information retrieval, 19. Natural language interfaces, 20. Natural language text processing and retrieval systems, 21. Problems and prospects of natural language processing systems, 22. The Internet and information retrieval, 23. Trends in information retrieval.
  6. Chowdhury, S.; Chowdhury, G.G.: Using DDC to create a visual knowledge map as an aid to online information retrieval (2004) 0.00
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    Content
    1. Introduction Web search engines and digital libraries usually expect the users to use search terms that most accurately represent their information needs. Finding the most appropriate search terms to represent an information need is an age old problem in information retrieval. Keyword or phrase search may produce good search results as long as the search terms or phrase(s) match those used by the authors and have been chosen for indexing by the concerned information retrieval system. Since this does not always happen, a large number of false drops are produced by information retrieval systems. The retrieval results become worse in very large systems that deal with millions of records, such as the Web search engines and digital libraries. Vocabulary control tools are used to improve the performance of text retrieval systems. Thesauri, the most common type of vocabulary control tool used in information retrieval, appeared in the late fifties, designed for use with the emerging post-coordinate indexing systems of that time. They are used to exert terminology control in indexing, and to aid in searching by allowing the searcher to select appropriate search terms. A large volume of literature exists describing the design features, and experiments with the use, of thesauri in various types of information retrieval systems (see for example, Furnas et.al., 1987; Bates, 1986, 1998; Milstead, 1997, and Shiri et al., 2002).