• DocumentCode
    1561637
  • Title

    MIRE: a multidimensional information retrieval engine for structured data and text

  • Author

    Lee, Jinho ; Grossman, David ; Orlandic, Ratko

  • Author_Institution
    Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2002
  • Firstpage
    224
  • Lastpage
    229
  • Abstract
    This paper presents an original information-retrieval engine, called MIRE, for integrating structured data and text. Among other things, MIRE is designed to work in a natural and efficient way with the inherent hierarchies of structured data. While multidimensional access methods have originally been developed for spatial applications, they can be successfully used to index hierarchical structured data and add to an existing information retrieval engine the capability of navigating hierarchical dimensions. To support this capability, MIRE enhances the processing algorithms of an existing multidimensional access method to avoid overflow and support for hierarchical dimensions. Compared to a search engine with multiple indexes for a different type of search, the multidimensional approach shows a significant reduction in the number of page accesses over a large document collection.
  • Keywords
    data mining; indexing; information retrieval; search engines; MIRE; OLAP; hierarchical structured data; indexing; large document collection; multidimensional access methods; multidimensional information retrieval engine; page access; search engine; text; Computer science; Data mining; Database systems; Information retrieval; Laboratories; Multidimensional systems; Navigation; Resumes; Search engines; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2002. Proceedings. International Conference on
  • Print_ISBN
    0-7695-1506-1
  • Type

    conf

  • DOI
    10.1109/ITCC.2002.1000391
  • Filename
    1000391