• DocumentCode
    3298838
  • Title

    The Method of Vehicle Ontology Building Based on Decision Tree

  • Author

    Ma, Bingxian ; Wang, Aixia ; Qu, Shouning

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    503
  • Lastpage
    506
  • Abstract
    There are a variety of methods about domain ontology building, one of which is namely skeleton law, it provides a full process of ontology building and methodology frame, it is the most reference in all methods. This paper introduces firstly skeleton law, and then points out its advantages and disadvantages. The purpose of this paper achieves a specific way to build domain ontology. The method in this paper makes use of correlative technology of data warehouse and data mining, which is mainly technology of decision tree. The method which is used to build ontology provides with good virtues as follow: the steps are simple and cleared, it produces a good classification, it can produce a good predictability and make if easy to carry out documentation.
  • Keywords
    aircraft; data mining; data warehouses; decision trees; ontologies (artificial intelligence); pattern classification; road vehicles; traffic engineering computing; aircraft; correlative technology; data mining; data warehouse; decision tree; ontology classification; ontology documentation; road vehicle; skeleton law; vehicle domain ontology building method; Automotive engineering; Classification tree analysis; Data mining; Data warehouses; Decision trees; Documentation; Guidelines; Ontologies; Skeleton; Vehicles; decision tree; domain; skeleton law;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3729-0
  • Type

    conf

  • DOI
    10.1109/SSME.2009.23
  • Filename
    5233238