Research Article | OPEN ACCESS
Ontology Based Dynamic e-Learning Flow Composition of Learning Web Services
M. Farida Begam and Gopinath Ganapathy
School of Computer Science, Engineering and Applications, Bharathidasan University,
Tiruchirappalli-23, Tamilnadu, India
Research Journal of Applied Sciences, Engineering and Technology 2014 22:4723-4735
Received: January 10, 2014 | Accepted: January 25, 2014 | Published: June 10, 2014
Abstract
Web Services has instigated it’s transcend and now education has been made simple through Web Services. With the advent of Web Services, education has become far more personal, flexible and available across global borders. Workflow is a sequence of business tasks to be realized for the execution of user’ request. Identifying required e-learning web services and dynamic composition and realization of those services is a challenging process. In this study we have suggested e-learning services workflow composing architecture and relevant algorithms for matching and composing e-learning flow for the learners with different learning styles. We suggested non logic based hybrid matching and composing algorithms which uses OWL-S profile and process ontologies for dynamic workflow composition of e-learning web services.
Keywords:
Ontology, ontology matching, OWL, semantic web, web services, workflow,
References
-
Ardagna, D. and P. Barbara, 2007. Adaptive service composition in flexible processes. IEEE T. Software Eng., 33(6): 369-384.
CrossRef
-
Aydin, O., K.C. Nihan and C. Ilyas, 2008. Automated web services composition with the event calculus. Proceeding of the 8th International Workshop on Engineering Societies in the Agents World. Springer Berlin, Heidelberg, pp: 142-157.
CrossRef
-
Berners-Lee, T., J. Hendler and O. Lassila, 2001. The Semantic Web. Scientific American, pp: 29-37.
CrossRef
-
Cardoso, J. and S. Amit, 2003. Semantic e-workflow composition. J. Intell. Inf. Syst., 21(3): 191-225.
CrossRef
-
Chinthaka, E., J. Ekanayake, D. Leake and B. Plale, 2009. CBR based workflow composition assistant. Proceeding of the World Conference on Services-I, pp: 352-355.
CrossRef
-
Chiu, D., S. Deshpande, G. Agrawal and L. Rongxing, 2009. A dynamic approach toward QoS-aware service workflow composition. Proceeding of the IEEE International Conference on Web Services, (ICWS, 2009).
CrossRef
-
Cohen, W., P. Ravikumar and S. Fienberg, 2003. A comparison of string distance metrics for name-matching tasks. Proceeding of the IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), DBLP.
-
Fayed, G., D. Sameh, A. Hasna, A.M. Jihad, E.A. Samir and E. Hosam, 2006. E-learning model based on semantic web. Int. J. Comput. Inf. Sci., 4(2): 63-71.
-
Fei, X. and S. Lu, 2012. A data flow based scientific workflow composition framework. IEEE T. Serv. Comput., 5(1): 45-58.
CrossRef
-
Gil, Y., P.A. González-Calero, J. Kim, J. Moody and V. Ratnakar, 2011. A semantic framework for automatic generation of computational workflows using distributed data and component catalogues. J. Exp. Theor. Artif. In., 23.4(2011): 389-467.
CrossRef
-
Groenmo, R. and M.C. Jaeger, 2005. Model-driven semantic web service composition. Proceeding of the 12th Asia-Pacific Software Engineering Conference (APSEC, 2005), pp: 8.
CrossRef
-
Ibert, B.I., C. Evandro, S. Elvys and A. Pedro, 2008. Towards new generation of web-based educational systems: The convergence between artificial and human agents. IEEE Multidisciplinary Eng. Educ. Mag., 3(1): 17-24.
-
Kim, J., S. Marc and G. Yolanda, 2004. An intelligent assistant for interactive workflow composition. Proceedings of the 9th International Conference on Intelligent User Interfaces (IUI, 2004), pp: 125-131.
CrossRef
-
Klusch, M., 2008. Semantic Web Service Description. Chapter 3, CASCOM: Intelligent Service Coordination in the Semantic Web. ISBN: 978-3-7643-8575-0.
CrossRef
-
Klusch, M., A. Gerber and M. Schmidt, 2005. Semantic web service composition planning with owls-xplan. Proceedings of the AAAI Fall Symposium on Semantic Web and Agents. AAAI Press, Arlington VA, USA.
-
Laukkanen, M. and H. Heikki, 2004. Composing workflows of semantic web services. Ws So Ag Te., Springer, US, pp: 209-228.
-
Lécué, F., S. Eduardo and F.P. Luís, 2008. A framework for dynamic web services composition. Ws So Ag Te., Birkhäuser, Basel, 2: 59-75.
-
Majithia, S., D.W. Walker and W.A. Gray, 2004. Automated web service composition using semantic web technologies. Proceedings of the International Conference on Autonomic Computing, pp: 306-307.
CrossRef
-
Martin, D., M. Burstein, D. McDermott, S. McIlraith, M. Paolucci, K. Sycara, D.L. McGuinness, E. Sirin and N. Srinivasan, 2007. Bringing semantics to web services with OWL-S. World Wide Web, 10(3): 243-277.
CrossRef
-
McIlraith, S.A., T.C. Son and H. Zeng, 2001. Semantic Web Services. IEEE Intell. Syst., pp: 46-63.
CrossRef
-
Sohrabi, S. and S.A. McIlraith, 2010. Preference-based web service composition: A middle ground between execution and search. Proceeding of the 9th International Semantic Web Conference on the Semantic Web (ISWC, 2010). Springer, Berlin, Heidelberg, pp: 713-729.
CrossRef
-
W3C, 2004. OWL-S: Semantic Markup for Web Services. Technical Report.
Direct Link
-
Zeng, L., A.H.H. Ngu, B. Benatallah, R. Podorozhny and H. Lei, 2008. Dynamic composition and optimization of web services. Distrib. Parallel. Dat., 24(1-3): 45-72.
CrossRef
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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