• DocumentCode
    1980109
  • Title

    On the construction of reduced double array structures by dividing tries

  • Author

    Oono, Masao Fuketa Masaki ; Morita, Kazuhiro ; Aoe, Jun-Ichi

  • Author_Institution
    Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    500
  • Abstract
    Speed and storage capacity are big issues in information retrieval system. For natural language analysis, a double array is one of a data structure of trie, which is a well-known approach to retrieve strings in a dictionary, and helps very fast access in a matrix table with compactness of a list form. In order to realize quite compact structure, this paper presents a compression method by dividing the trie constructed into several pieces (blocks). It enables us to reduce the number of bits representing entries of the double arrays. The trie obtained must trace to the blocks and this causes that retrieval time might be slow because of a state connection. To solve this problem, we propose a new trie construction method to compress and minimize the number of state connections. After applying to a large set of keys, experimental result shows that the storage capacity has been reduced to 50% even though the approach we present has the same retrieval speed
  • Keywords
    data compression; information retrieval systems; natural languages; string matching; tree data structures; IRS; compact structure; data structure; dictionary; information retrieval system speed; matrix table; reduced double array structure construction; state connection compression; state connection minimization; storage capacity; string retrieval; trie division; Computer networks; Data structures; Dictionaries; Hardware; IP networks; Information analysis; Information retrieval; Information science; Natural languages; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.969863
  • Filename
    969863