Authors:
Jiazao Lin
1
;
Xining Li
2
and
Lian Li
1
Affiliations:
1
Lanzhou University, China
;
2
University of Guelph, Canada
Keyword(s):
M-commerce, Mobile Agent, Context-aware Workflow, Service Discover.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Cloud Computing
;
Collaboration and e-Services
;
Communication and Software Technologies and Architectures
;
Context-Awareness
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Languages, Tools and Architectures
;
Mobile Information Systems
;
Mobile Software and Services
;
Model-Driven Software Development
;
Ontologies and the Semantic Web
;
Other Areas of Application
;
Service-Oriented Architectures
;
Services Science
;
Software Agents and Internet Computing
;
Software Engineering
;
Software Engineering Methods and Techniques
;
Technology Platforms
;
Telecommunications
;
Web Information Systems and Technologies
;
Web Services
;
Wireless Information Networks and Systems
Abstract:
Mobile commerce (M-commerce) is an attractive research area due to its relative novelty, rapid growth, and great potential in business applications. Unfortunately, there are a number of constraints effecting both performance and usability of mobile devices and network bandwidth. In addition, existing M-commerce applications are lack of fully automated business processes and still require significant manual effort. In this paper we present a general solution of integrating mobile agent and context-aware workflow to implement automated trading task and compose services dynamically in real time to create a highly personalized assistant. Furthermore, the proposed context-aware model derives from a set of ontology of descriptive contextual attribute for knowledge sharing and logical inference. Instead of executing a fully defined process description, the composite workflow can be executed with forward or backward selection of services determined at run time. We have carried out an evaluat
ion experiment. The results show that our proposed solution is feasible and viable.
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