• DocumentCode
    3522371
  • Title

    Document categorization and retrieval using semantic microfeatures and growing cell structures

  • Author

    Deng, Wantao ; Wu, Wendy

  • Author_Institution
    Sch. of Comput. Sci., Middllesex Univ., London, UK
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    270
  • Lastpage
    274
  • Abstract
    Presents an approach to document categorization and retrieval using growing cell structures. Semantic microfeatures together with other information are adopted for document representation. The main advantage over traditional information retrieval systems which adopt index terms to index and retrieve documents is that the new approach considers the semantic relationships among documents. The paper describes how to construct document microfeature weight vectors and use growing cell structures clustering them. Some experimental results are also presented
  • Keywords
    information retrieval; learning (artificial intelligence); self-organising feature maps; clustering; document categorization; document representation; document retrieval; growing cell structures; self organizing neural network; semantic microfeatures; semantic relationships; Automatic control; Clustering algorithms; Data mining; Dictionaries; Information retrieval; Neural networks; Organizing; Process control; Sufficient conditions; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2001. Proceedings. 12th International Workshop on
  • Conference_Location
    Munich
  • Print_ISBN
    0-7695-1230-5
  • Type

    conf

  • DOI
    10.1109/DEXA.2001.953074
  • Filename
    953074