• DocumentCode
    2359847
  • Title

    Basics of Concepts Representation for Document Summarization

  • Author

    Suh, Sang C. ; Saffer, S.I. ; Anaparthi, S.G. ; Sirakov, Nikolay Metodiev

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ. - Commerce, Commerce, TX, USA
  • fYear
    2009
  • fDate
    25-27 Aug. 2009
  • Firstpage
    1374
  • Lastpage
    1380
  • Abstract
    This paper presents three different ways to describe the notion concept. The first one uses the idea of hierarchy and employs a graph to define the connections between attributes and concepts. To enable concepts generation, manipulation or measurement a matrix model is developed. Thus, the entire space of terms could be generated by a set of (linearly) independent terms over a numerical field. The total number of concepts to be generated over a numerical field using a given number of attributes is estimated in this paper. A memory efficient spherical presentation is developed on the above models. An algorithmic implementation of Hierarchy of concepts and attributes (HAC) is developed and experimental results are presented using concepts from the field of education.
  • Keywords
    data mining; graph theory; information retrieval; text analysis; vocabulary; concepts generation; concepts manipulation; document summarization; graph; hierarchy of concepts and attributes; independent terms; matrix model; memory efficient spherical presentation; notion concept; Application software; Business; Computer science; Computer science education; Internet; Mathematical model; Mathematics; Merging; Search engines; Web search; attributes; hierarchy; matrix; spherical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5209-5
  • Electronic_ISBN
    978-0-7695-3769-6
  • Type

    conf

  • DOI
    10.1109/NCM.2009.255
  • Filename
    5331413