• DocumentCode
    2021117
  • Title

    An analytical model for structuring natural language based on knowledge unit—Taking domain rules of urban planning as examples

  • Author

    Zhang Pingze ; Sun Yizhong ; Xiaoshan, Tan

  • Author_Institution
    Changzhou Inst. of Mechatron. Technol., Changzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    187
  • Lastpage
    190
  • Abstract
    When processing knowledge rules described by natural language in computer, it is necessary to convert non-structured language to structured one. Especially, for the particular domain rules with spatial information, to eliminate semantic obstacle of spatial information between the two kinds of language is a difficulty for transformation. Taking domain rules in urban planning as examples, a concept of knowledge unit is proposed, a knowledge unit system is constituted and the combination patterns of knowledge units are abstracted. Based on them, this paper constructs an analytical model for natural language. Applying this model, rules described by natural language can be structured into combination pattern based on knowledge units, subsequently, be transformed into structured computer language for geography information system(GIS) inquiry, analysis and manipulation.
  • Keywords
    SQL; geographic information systems; natural language processing; pattern clustering; town and country planning; GIS; analytical model; combination pattern; domain rule; geographic information system; knowledge unit processing; natural language; semantic obstacle; structured computer language; urban planning; Analytical models; Computers; Geographic Information Systems; Industries; Natural languages; Roads; Semantics; GIS; analytical model; domain rule; knowledge unit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568919
  • Filename
    5568919