• DocumentCode
    2813307
  • Title

    Applying Concept Algebra to Information Restructuring of Web Documents

  • Author

    Hu, Kai ; Wang, Yingxu

  • Author_Institution
    Univ. of Calgary, Calgary
  • fYear
    2007
  • fDate
    22-26 April 2007
  • Firstpage
    1263
  • Lastpage
    1266
  • Abstract
    On the basis of concept algebra, this article presents a hierarchical model for web document restructuring and comprehension. The formal model for information restructuring of web documents is built on decoding the external knowledge representation in informal documents into cognitive knowledge represented by concept algebra and concept networks. The semantic relations between concepts in a document are expressed by semantic links among concepts. To automatically implement the information restructuring by machines, a two level knowledge base that mimic human lexical, syntactical, and semantic cognition is introduced. The information restructuring model provides a foundation for automatic concept indexing and knowledge extraction from web documents.
  • Keywords
    document handling; knowledge acquisition; knowledge representation; semantic Web; Web document comprehension; Web document restructuring; cognitive knowledge; concept algebra; concept indexing; concept networks; formal model; informal documents; information restructuring; knowledge extraction; knowledge representation; lexical cognition; semantic cognition; semantic links; semantic relations; syntactical cognition; Algebra; Cognition; Data mining; Decoding; Humans; Indexing; Knowledge engineering; Knowledge representation; Natural languages; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    0840-7789
  • Print_ISBN
    1-4244-1020-7
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2007.322
  • Filename
    4232981