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
Link To Document :
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