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      •   BUIR Home
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      • Bilkent Theses
      • Theses - Department of Industrial Engineering
      • Dept. of Industrial Engineering - Master's degree
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      Word-based compression in full-text retrieval systems

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      Author(s)
      Selçuk, Ali Aydın
      Advisor
      Eyler, M. Akif
      Date
      1995
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      Large space requirement of a full-text retrieval system can be reduced significantly by data compression. In this study, the problem of compressing the main text of a full-text retrieval system is addressed and performance of several coding techniques for compressing the text database is compared. Experiments show that statistical techniques, such as arithmetic coding and Huffman coding, give the best compression among the implemented; and using a semi-static word-based model, the space needed to store English text is less than one third of the original requirement.
      Keywords
      Full-text retrieval
      Data compression
      Text compression
      VVord based model
      Permalink
      http://hdl.handle.net/11693/17666
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      • Dept. of Industrial Engineering - Master's degree 355
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