• DocumentCode
    2174312
  • Title

    Tracking knowledge of emergent domains

  • Author

    Al-Thubaity, AbdulMohsen ; Ahmad, Khurshid

  • Author_Institution
    Dept. of Comput., Surrey Univ., Guildford, UK
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    685
  • Lastpage
    690
  • Abstract
    Knowledge is communicated through the so-called semiotic systems: written text, images, mathematical and chemical symbols, and so on. The knowledge of emergent domains is yet to standardize its symbol systems which simply adds to the (creative) chaos inherent in such emergent systems. The analysis of change in written text, amongst the most changeable semiotic system at the lexical level at least, may reveal a consensus in the use of terms. Terms denote concepts and textually help us to understand how knowledge evolves in an emergent domain. The emergent domain of semiconductor physics, specifically nano-structured tunnel diodes, is studied as an exemplar. This is our attempt to establish a method, which covers a broad range of texts, journal articles, patent documents and state-of-the-art review papers, to observe the emergence of a new domain. In each of the four knowledge conversion phases a domain community appears to prefer certain lexical items and uses an appropriate text type.
  • Keywords
    data mining; information retrieval; physics computing; emergent domain knowledge; knowledge diffusion; knowledge evolution; knowledge management; knowledge tracking; lexical items; semiotic systems; tunnel diodes; Biology; Chaotic communication; Chemicals; Diodes; Information retrieval; Knowledge management; Libraries; Ontologies; Physics; Power generation economics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation, 2002. Proceedings. Sixth International Conference on
  • ISSN
    1093-9547
  • Print_ISBN
    0-7695-1656-4
  • Type

    conf

  • DOI
    10.1109/IV.2002.1028849
  • Filename
    1028849