References

Abeywickrama, D.B. and E. Ovaska, 2017. A survey of autonomic computing methods in digital service ecosystems. Serv. Oriented Comput. Appl., 11: 1-31.
CrossRef  |  Direct Link  |  

Adadi, A., M. Berrada and D. Chenouni, 2014. A multi-agent planning architecture for semantic web service composition. Intl. Rev. Comput. Software, 9: 347-354.

Adadi, A., M. Berrada, D. Chenouni and B. Bounabat, 2015. A semantic web service composition for E-government services. J. Theor. Appl. Inf. Technol., 71: 460-467.
Direct Link  |  

Adadi, A., M. Berrada, D. Chenouni and B. Bounabat, 2015. Ontology based composition of E-government services using AI Planning. Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications (SITA’15), October 20-21, 2015, IEEE, Rabat, Morocco, ISBN:978-1-5090-0219-1, pp: 1-8.

Al-Sedrani, A. and A. Touir, 2016. Web service composition in dynamic environment: A comparative study. Proceedings of the 4th International Conference on Database and Data Mining, April 23-24, 2016, Coral Dubai Deira Hotel, Dubai, UAE., pp: 75-84.

Anonymous, 2017. Java agent development framework. Jade Ltd., Lagos, Nigeria. http://jade.tilab.com/.

Baldoni, M., C. Baroglio, A. Martelli and V. Patti, 2007. Reasoning about interaction protocols for customizing web service selection and composition. J. Logic Algebraic Programming, 70: 53-73.
Direct Link  |  

Cardoso, J., A. Sheth and J. Miller, 2002. Modeling quality of service for workflows and Web service processes. Web Semant. Sci. Serv. Agents World Wide Web J., 1: 281-308.

Chandrasekar, M. and K. JayaShree, 2016. Clustering web services for effective service discovery. Intl. J. Adv. Res. Comput. Eng. Technol., 5: 2500-2503.
Direct Link  |  

Chatzidimitriou, M. and A. Koumpis, 2008. Marketing one-stop E-government solutions: The European OneStopGov project. IAENG. Intl. J. Comput. Sci., 35: 1-6.
Direct Link  |  

Ghallab, M., D. Nau and P. Traverso, 2016. Automated Planning and Acting. Cambridge University Press, Cambridge, UK., ISBN:9781107037274, Pages: 354.

Guitton, J. and H. Fiorino, 2006. Multi-agent scheduling for the dynamic composition of web services. Master Thesis, Joseph Fourier University, Saint-Martin-d'Heres, France.

Jatoth, C., G.R. Gangadharan and R. Buyya, 2017. Computational intelligence based QoS-aware web service composition: A systematic literature review. IEEE. Trans. Serv. Comput., 10: 475-492.
CrossRef  |  Direct Link  |  

Lei, Y., 2016. There can be composite services when you believe. Intl. J. Serv. Comput., 4: 49-58.

Lemos, A.L., F. Daniel and B. Benatallah, 2016. Web service composition: A survey of techniques and tools. ACM Comput. Surveys, Vol. 48. 10.1145/2831270

Michael, R.T.F. and P.P. Siva, 2016. Implementation of agent based web service composition using dependency relation algorithm. Intl. J. Technol. Enhancements Emerging Eng. Res., 4: 22-27.
Direct Link  |  

Mier, P.R., 2016. A graph-based framework for optimal semantic web service composition. Ph.D Thesis, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

Moghaddam, M. and J.G. Davis, 2014. Service Selection in Web Service Composition: A Comparative Review of Existing Approaches. In: Web Services Foundations, Bouguettaya, A., Q. Sheng and F. Daniel (Eds.). Springer, New York, USA., ISBN:978-1-4614-7517-0, pp: 321-346.

Pakari, S., E. Kheirkhah and M. Jalali, 2014. Web service discovery methods and techniques: A review. Intl. J. Comput. Sci. Eng. Inf. Technol., 4: 1-14.
CrossRef  |  

Pellier. D. and H. Fiorino, 2004. Assumption-based planning. Proceedings of the 2004 International Conference on Advances in Intelligence Systems Theory and Applications, November 25-18, 2004, Research Center Public Henri Tudor, Luxemburg, Europe, pp: 1-2.

Sawsaa, A. and J. Lu, 2012. Building Information Science ontology (OIS) with methontology and protege. J. Internet Technol. Secured Trans., 1: 100-109.
Direct Link  |  

Sheng, Q.Z., X. Qiao, A.V. Vasilakos, C. Szabo and S. Bourne et al., 2014. Web services composition: A decade’s overview. Inf. Sci., 280: 218-238.
Direct Link  |  

Shin, D.H., K.H. Lee and T. Suda, 2009. Automated generation of composite web services based on functional semantics. Web Semantics: Sci. Services Agents World Wide Web, 7: 332-343.
CrossRef  |  

Swarnamugi, M., M. Sathya and P. Dhavachelvan, 2010. A negotiation model for web service selection. Proceedings of the 2010 International Conference on Recent Trends in Soft Computing and Information Technology (RTSCIT’10), January 9-10, 2010, Institute of Science and Technology (AIST), Bhopal, India, pp: 251-256.

Talantikite, H.N., D. Aissani and N. Boudjlida, 2009. Semantic annotations for web services discovery and composition. Comput. Stand. Interfaces, 31: 1108-1117.
CrossRef  |  

Torre, G.L., S. Monteleone, M. Cavallo, V. D’Amico and V. Catania, 2016. A context-aware solution to improve web service discovery and user-service interaction. Proceedings of the 2016 International IEEE Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld’16), July 18-21, 2016, IEEE, Toulouse, France, ISBN:978-1-5090-2772-9, pp: 180-187.

Weerdt, M.D. and B. Clement, 2009. Introduction to planning in multiagent systems. Multiagent Grid Syst., 5: 345-355.
CrossRef  |  Direct Link  |  

Yu, W., G. Wen, G. Chen and J. Cao, 2016. Distributed Cooperative Control of Multi-Agent Systems. John Wiley & Sons, Hoboken, New Jersey, USA., ISBN:9781119246237, Pages: 264.