DocumentCode :
3515621
Title :
Mapping of Logistics Distribution Knowledge for E-commerce in GIS
Author :
Wei-guo, Liu ; Xiang-pei, Hu ; Xu-yin, Wang
Author_Institution :
Sch. of Econ. & Manage., Northwest Normal Univ., Xi´´an
fYear :
2006
fDate :
5-7 Oct. 2006
Firstpage :
36
Lastpage :
40
Abstract :
An ever-increasing trend in today´s logistics firms is to set up intelligent scheduling system. This paper focuses on enhancing the intelligence and science of real-time optimizing scheduling of logistics distribution for e-commerce based on GIS, and discusses how to process logistics distribution knowledge visually in GIS. A model and mapping solution of logistics distribution knowledge in GIS is presented, and the uniform mapping relations between knowledge bases and spatial databases are kept through XML relational mapping documents. This research is an interaction among artificial intelligence, knowledge engineering and geographical information system, and shows by means of system simulation that the mapping solution is very well suited for establishing the intelligent optimising scheduling system of logistics distribution based on GIS faced with dynamic environment. Finally, potential issues for future research are presented
Keywords :
XML; electronic commerce; geographic information systems; knowledge based systems; scheduling; visual databases; GIS; XML relational mapping document; e-commerce; geographical information system; intelligent scheduling system; knowledge based system; logistics distribution; real-time optimizing scheduling; spatial database; Artificial intelligence; Geographic Information Systems; Information systems; Intelligent systems; Knowledge engineering; Logistics; Relational databases; Spatial databases; Visual databases; XML; Geographical information system (GIS); Knowledge; Logistics distribution; Mapping; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2006. ICMSE '06. 2006 International Conference on
Conference_Location :
Lille
Print_ISBN :
7-5603-2355-3
Type :
conf
DOI :
10.1109/ICMSE.2006.313834
Filename :
4104863
Link To Document :
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