DocumentCode :
3172101
Title :
A Semantic Web-Based Enterprise Information Integration Platform for Mobile Commerce
Author :
Wei, Z. ; Kang, M. ; Zhou, W.
Author_Institution :
Dept. of Comput. Sci., Ocean Univ. of China, Qingdao
fYear :
2008
fDate :
17-19 Oct. 2008
Firstpage :
57
Lastpage :
60
Abstract :
For companies to establish their mobile commerce applications, the fundamental challenge is how to extend existing enterprise applications with mobile functionality in order to provide remote staff with real-time business data while at the same time avoiding alteration of existing system codes. Due to increased diversity of business data and mobile devices, many of current mobile commerce applications are customized applications and serve a specific industry need. In this paper, as a solution to tackle the challenge, we propose an semantic Web based enterprise information integration platform for mobile commerce, which is designed to give developers a systematic reference approach to provide a generic and neutral mechanism to describe and access heterogeneous information resources from existing business applications, support reasoning and auto-discovery of information based on rules, and hide details of underlying wireless networks and mobile devices access from mobile commerce applications.
Keywords :
electronic commerce; information resources; mobile computing; semantic Web; business data; heterogeneous information resource access; mobile commerce; mobile devices; semantic Web-based enterprise information integration platform; wireless networks; Application software; Business; Companies; Conference management; Data mining; Electronic government; Information resources; Mobile computing; Personal digital assistants; Semantic Web; Inference engine; Integration platform; Mobile commerce; Ontology; Rule based reasoning; Semantic web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of e-Commerce and e-Government, 2008. ICMECG '08. International Conference on
Conference_Location :
Jiangxi
Print_ISBN :
978-0-7695-3366-7
Type :
conf
DOI :
10.1109/ICMECG.2008.13
Filename :
4656595
Link To Document :
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