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Issue No.06 - June (2009 vol.21)
pp: 867-880
Zhaohui Wu , Zhejiang University, Hangzhou
Yuxin Mao , Zhejiang University, Hangzhou
Huajun Chen , Zhejiang University, Hangzhou
Recent advances in Web and information technologies have resulted in many e-learning resources. There is an emerging requirement to manage and reuse relevant resources together to achieve on-demand e-learning in the Web. Ontologies have become a key technology for enabling semantic-driven resource management. We argue that to meet the requirements of semantic-based resource management for Web-based e-learning, one should go beyond using domain ontologies statically. In this paper, we provide a semantic mapping mechanism to integrate e-learning databases by using ontology semantics. Heterogeneous e-learning databases can be integrated under a mediated ontology. Taking into account the locality of resource reuse, we propose to represent context-specific portions from the whole ontology as subontologies. We present a subontology-based approach for resource reuse by using an evolutionary algorithm. We also conduct simulation experiments to evaluate the approach with a traditional Chinese medicine e--learning scenario and obtain promising results.
Semantic Web, collaborative learning, information resource management, knowledge reuse.
Zhaohui Wu, Yuxin Mao, Huajun Chen, "Subontology-Based Resource Management for Web-Based e-Learning", IEEE Transactions on Knowledge & Data Engineering, vol.21, no. 6, pp. 867-880, June 2009, doi:10.1109/TKDE.2008.127
[1] M. Nichols and D. Schedule, “A Theory for eLearning,” Educational Technology and Soc., vol. 6, no. 2, pp. 1-10, 2003.
[2] J. Murdock, G. Shippey, and A. Ram, “Case Based Planning to Learn,” Proc. Second Int'l Conf. Case-Based Reasoning Research and Development (ICCBR '97), pp. 467-476, 1997.
[3] T. Berners-Lee, J. Hendler, and O. Lassila, “The Semantic Web,” Scientific Am., vol. 284, no. 5, pp. 34-43, 2001.
[4] P. Brusilovsky, “Adaptive Educational Hypermedia,” Proc. 10th Int'l PEG Conf., pp. 8-12, 2001.
[5] P.D. Bra, “Adaptive Educational Hypermedia on the Web,” Comm. ACM, vol. 45, no. 5, pp. 60-61, 2002.
[6] A. Updegrove, “The Future of the Web,” An Interview with TimBerners-Lee, Consortium Standards Bull., vol. 4, no. 6, 2005.
[7] T. Gruber, “A Translation Approach to Portable Ontology Specifications,” Knowledge Acquisition, vol. 5, no. 2, pp. 199-220, 1993.
[8] G.V. Heijst, A.T. Schreiber, and B.J. Wielinga, “Using Explicit Ontologies in KBS Development,” Int'l J. Human-Computer Studies, vol. 46, nos. 2/3, pp. 183-292, 1997.
[9] A. Maedche, B. Motik, L. Stojanovic, R. Studer, and R. Volz, “Ontologies for Enterprise Knowledge Management,” IEEE Intelligent System, vol. 18, no. 2, pp. 26-33, Mar./Apr. 2003.
[10] Y. Mao, W.K. Cheung, Z. Wu, and J. Liu, “Dynamic Sub-Ontology Evolution for Collaborative Problem-Solving,” Proc. AAAI Fall Symp. Agents and the Semantic Web, v FS-05-01, pp. 1-8, 2005.
[11] Y. Mao, W.K. Cheung, Z. Wu, and J. Liu, “Sub-Ontology Evolution for Service Composition with Application to Distributed e-Learning,” Proc. 17th IEEE Int'l Conf. Tools with Artificial Intelligence (ICTAI '05), pp. 701-702, 2005.
[12] R. Farrell, S.D. Liburd, and J.C. Thomas, “Dynamic Assembly of Learning Objects,” Proc. 13th Int'l World Wide Web Conf. (WWW '04), pp. 162-169, 2004.
[13] D. Gašević and M. Hatala, “Ontology Mappings to Improve Learning Resource Search,” British J. Educational Technology, vol. 37, no. 3, pp. 375-389, 2006.
[14] J. Tane, C. Schmitz, and G. Stumme, “Semantic Resource Management for the Web: An e-Learning Application,” Proc. 13th Int'l World Wide Web Conf. (WWW '04), pp. 1-10, 2004.
[15] L. Stojanovic, S. Staab, and R. Studer, “E-Learning Based on the Semantic Web,” Proc. World Conf. WWW and Internet (WebNet '01), pp. 23-37, 2001.
[16] P. Dolog, N. Henze, W. Nejdl, and M. Sintek, “Personalization in Distributed e-Learning Environments,” Proc. 13th Int'l World Wide Web Conf. (WWW '04), pp. 170-178, 2004.
[17] S. Yang, I. Chen, and N. Shao, “Ontology Enabled Annotation and Knowledge Management for Collaborative Learning in Virtual Learning Community,” Educational Technology and Soc., vol. 7, no. 4, pp. 70-81, 2004.
[18] N. Henze, P. Dolog, and W. Nejdl, “Reasoning and Ontologies for Personalized e-Learning in the Semantic Web,” Educational Technology and Soc., vol. 7, no. 4, pp. 82-97, 2004.
[19] A. Papasalouros, S. Retalis, and N. Papaspyrou, “Semantic Description of Educational Adaptive Hypermedia Based on a Conceptual Model,” Educational Technology and Soc., vol. 7, no. 4, pp. 129-142, 2004.
[20] W. Huang, D. Webster, D. Wood, and T. Ishaya, “An Intelligent Semantic e-Learning Framework Using Context-Aware Semantic Web Technologies,” British J. Educational Technology, vol. 37, no. 3, pp. 351-373, 2006.
[21] N.F. Noy and M.A. Musen, “Specifying Ontology Views by Traversal,” Proc. Third Int'l Semantic Web Conf. (ISWC '04), pp.713-725, 2004.
[22] J. Seidenberg and A. Rector, “Web Ontology Segmentation: Analysis, Classification and Use,” Proc. 15th Int'l World Wide Web Conf. (WWW '06), pp. 13-22, 2006.
[23] B.C. Grau et al., “Modularity and Web Ontologies,” Proc. 10th Int'l Conf. Principles of Knowledge Representation and Reasoning (KR '06), pp. 198-209, 2006.
[24] P. Doran, “Ontology Reuse via Ontology Modularisation,” Proc. KnowledgeWeb PhD Symp. (KWEPSY '06), kwepsy2006_doran.pdf, 2006.
[25] M. Klein and D. Fensel, “Ontology Versioning for the Semantic Web,” Proc. First Int'l Semantic Web Working Symp. (SWWS '01), pp.483-493, 2001.
[26] N.F. Noy and M. Klein, “Ontology Evolution: Not the Same as Schema Evolution,” SMI Technical Report SMI-2002-0926, , 2002.
[27] L. Stojanovic, A. Maedche, B. Motik, and N. Stojanovic, “User-Driven Ontology Evolution Management,” Proc. 13th Int'l Conf.Knowledge Eng. and Knowledge Management (EKAW '02), pp. 285-300, 2002.
[28] G. Flouris, “On Belief Change and Ontology Evolution: Thesis,” AIComm., vol. 19, no. 4, pp. 395-397, 2006.
[29] O. Bodenreider, “Unified Medical Language System (UMLS): Integrating Biomedical Terminology,” Nucleic Acids Research, vol. 32, no. D, pp. D267-D270, 2004.
[30] M. Ashburner et al., “Gene Ontology: Tool for the Unification of Biology,” Nature Genetics, vol. 25, pp. 25-29, 2000.
[31] A.Y. Halevy, “Answering Queries Using Views: A Survey,” VLDBJ., vol. 10, pp. 270-294, 2001.
[32] H. Chen, Z. Wu, H. Wang, and Y. Mao, “RDF/RDFS-Based Relational Database Integration,” Proc. 22nd Int'l Conf. Data Eng. (ICDE '06), pp. 94-103, 2006.
[33] C. Ghidini and F. Giunchiglia, “Local Models Semantics, or ${\rm Contextual}\;{\rm Reasoning} = {\rm Locality} + {\rm Compatibility}$ ,” Artificial Intelligence, vol. 127, pp. 221-259, 2001.
[34] B. McBrid, “Jena: A Semantic Web Toolkit,” IEEE Internet Computing, vol. 6, no. 6, pp. 55-59, Nov./Dec. 2002.
[35] I.V. Levenshtein, “Binary Codes Capable of Correcting Deletions,” Insertions and Reversals: Cybernetics and Control Theory, vol. 10, no. 8, pp. 707-710, 1966.
[36] M. Paolucci, T. Kawamura, T.R. Payne, and K. Sycara, “Semantic Matching of Web Services Capabilities,” Proc. Int'l Semantic Web Conf. (ISWC '02), pp. 333-347, 2002.
[37] J.H. Holland, Adaptation in Natural and Artificial Systems. MIT Press, 1975.
[38] H. Chen et al., “Towards Semantic e-Science for Traditional Chinese Medicine,” BMC Bioinformatics, 8(Suppl):S6, 2007.
[39] H. Chen et al., “Towards a Semantic Web of Relational Databases: A Practical Semantic Toolkit and an In-Use Case from Traditional Chinese Medicine,” Proc. Fifth Int'l Semantic Web Conf. (ISWC '06), pp. 750-763, 2006.
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