Application of WEB Service Composition in Intelligent Distribution
Internet of Things and Cloud Computing
Volume 4, Issue 1, February 2016, Pages: 1-7
Received: Mar. 10, 2016; Accepted: Mar. 25, 2016; Published: Apr. 8, 2016
Views 3065      Downloads 82
Ruoling Zhang, School of Information, Beijing Wuzi University, Beijing, China
Jie Zhu, School of Information, Beijing Wuzi University, Beijing, China
Ying Huang, School of Information, Beijing Wuzi University, Beijing, China
Article Tools
Follow on us
In 2014, Premier Keqiang Li chaired a State Council executive meeting, discussed and adopted the "long-term development of the logistics industry planning", which proposed that by 2020 there will essencially establish modern logistics service system, enhancing logistics industry standards, information, intelligence, intensive level, improving the overall economic efficiency and benefit [1]. A series of modern information technologies like the Internet of things, cloud computing, big data, smart logistics, Internet plus, these promote Chinese intelligent logistics transformation [2]. The development of modern society can not work without information technology, and how to realize information sharing is one of the problem that must be resolve in the modern supply chain management. Only the various companies of supply chain share a variety of information with each others, it can manage effectively and improve ability of the decision-making about the ration of resources. However, due to the change of business, the isomeric change of enterprise information systems, changes in the structure of the supply chain and others, it hinders the information sharing in most cases. This article with the purpose of designing an intelligent distribution system based on WEB service combination, building a WEB service composition model that can make fast reaction to the market. Taking intelligent distribution system as an example to solve the obstacles that affect the information sharing in supply chain.
Information Sharing, WEB Service, Intelligent Distribution System
To cite this article
Ruoling Zhang, Jie Zhu, Ying Huang, Application of WEB Service Composition in Intelligent Distribution, Internet of Things and Cloud Computing. Vol. 4, No. 1, 2016, pp. 1-7. doi: 10.11648/j.iotcc.20160401.11
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
[1] Central broadcasting network Keqiang Li presided over the meeting of the State Council.
Feng Liu. The evolution of the Internet. Tsinghua University press 2012.9.
Yasmine. An Overview of Semantic Web Services Composition Approaches [J]. Electr Notes Theor Comput Sci, 2006, 146(1): 33-41.
Shuiguang Deng, Zhaohui Wu. Summary of Web service composition method [J]. Chinese science and technology papers on line, 2008, 3(2): 79-84.
Shuiguang Deng, Longtao Huang, Jianwei Yi, Web service composition technology framework and its research progress [J]. Computer integrated manufacturing system, 2011, 17(2): 404-412.
Syu Yang, Ma Shang-Pin, Kuo Jong-Yih, et al. A survey on automated service composition methods and related techniques [A]. 2012 IEEE Ninth International Conference on Services Computing (SCC) [C]: IEEE, 2012: 290-297.
Kun Yue, Underlying techniques for Web service: A survey [J]. Journal of software, 2004, 15(3): 428-442.
Wen Jia-Jia, Chen Jun-Liang, and P. Yong, A Method of Heuristic Web Services Composition Based on Goal Distance Estimate [J]. Journal of Software, 2007. 18(1): 85-93.
Tari A, Elgedawy I, Dahmani A.A dual-layered model for Web Services representation and composition [J] Intelligient Information System, 2009 (32): 237-265.
Weerawarana S, Curbera F. Business process with BPEL4WS: understanding BPEL4WS. IBM developer works [OL]. Aug, 2002.
Deng S, Li Y, Xia H., et al. Exploring the flexible workflow technology to automate service composition [A]. The Semantic Web–ASWC 2006 [C]: Springer Berlin Heidelberg, 2006: 444-458.
Lee Chien-Hsiang, Hwang San-Yih, Yen I-Ling. A Service Pattern Model for Flexible Service Composition [A]. 2012 IEEE 19th International Conference on Web Services (ICWS) [C]: IEEE, 2012: 626-627.
M. Fontoura, T. J. Lehman, D. Nelson, et al. TSpaces Services Suite: Automating the Development and Management of Web Services. In Proceedings of 12th World Wide Web (Alternate Paper Tracks), 2003, 121-134.
F. Casati, M. Sayal, M. Shan. Developing E-Services for Composing E-Services. In Proceedings of 13th International Conference on Advanced Information Systems Engineering, Interlaken, Switzerland, 2001, 171-186.
S. Ilnicki, L. Jin, et al. Adaptive and Dynamic Service Composition in eFlow. The 12th International Conference on Advanced Information Systems Engineering, Stockholm, Sweden, 2002, 13-31.
K. Kiwata, A. Nakano, S. Yura, et al. Scenario-based Service Composition Method in the Open Service Environment. In Proceedings of the 5th International Symposium on Autonomous Decentralized Systems, 2001, 135-142.
J. Rao, X. Su. A Survey of Automated Web Service Composition Methods [J].Semantic Web Services and Web Proeess Composition, 2004, 43-54.
W. M. P. van der Alast. The Application of Petri Net to Workflow Management [J]. The Journal of Circuits, Systems and Computers, 1998, 8(1): 21-66.
W. M. P. van Der Alast. Verification of Workflow Net[C]. Application And Theory Of Petri Net Lecture Notes In Computer Science, Berlin: Springer-Verlag, 1997, 12(48): 407-426.
Hamadi R, Benatallah. A Petri net based model for Web service composition. In: Proceedings of the 14th Australasian Database Conference, Adelaide, Australian, 2003, 191-200.
Sun J, Jiang C J. Web service composition based on BPWS-Net. In: Proceedings of the Content Computing, Advanced Workshop on Content Computing, 2004, 303-313.
Tang Xian-fei, Iang Chang-jun, Zhou Meng-ehu. Automatic Web service composition based on Horn caluses and Petri nets [J]. Expert Systems with Applications, 2011, 38(10): 13024-13031.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186