Abstract
Service modeling is one of the key issues for constructing the regional logistics information platform (RLIP). This paper put forward a service modeling approach for regional logistics information platform based on the presently service-oriented system modeling approach. The service modeling approach for RLIP is composed by four steps. Firstly, the function model is constructed based on the RLIP’s function requirements. Secondly, the business process model of RLIP is established based on the function model, and the business object model is constructed based on the business process model. On the basis, the service model of the RLIP is established based on the above business object model and process model. Finally, the service interactive model of RLIP is realized by service choreography.
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References
Arsanjani: Service-Oriented Modeling and Architecture (SOMA), IBM developer Works (2004), http://www.ibm.com/developerworks/webservices/library/ws-soa-design1
Wu, Y., Zhang, Q.H., Cheng, G.Q.: Modeling Method of Distribution Center Information System Based on UML. Logistics Technology 1, 80–83 (2006)
Ge, L., Huang, S.X., Fan, Y.S.: Servie Modeling in SOAD. Manufacturing Automation 30, 27–29 (2008)
Rahmani, A.T., Vahid, R., Saeed, S.: An MDA-based modeling and design of service oriented architecture. In: Proc. of the 6th International Conference on Computer Science, December 10, pp. 578–585. IEEE Press (2006)
Oliver, I.: Applying UML and MDA to real systems design. In: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 70–71. IEEE Press (May 2005)
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Qifeng, W., Qing, L., Yongbin, H. (2012). Study on Service Modeling Approach for Regional Logistics Information Platform. In: Luo, J. (eds) Affective Computing and Intelligent Interaction. Advances in Intelligent and Soft Computing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27866-2_26
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DOI: https://doi.org/10.1007/978-3-642-27866-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27865-5
Online ISBN: 978-3-642-27866-2
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