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A State-of-the-Art Survey on Semantic Web Mining
School of Computing, Science, and Engineering, University of Salford, Salford, UK
School of Computing, Science, and Engineering, University of Salford, Salford, UK
- 1 School of Computing, Science, and Engineering, University of Salford, Salford, UK
- 2 School of Computing, Science, and Engineering, University of Salford, Salford, UK
Intelligent Information Management·Volume 05 (2013)·Pages 10–17·Published 15 January 2013·DOI10.4236/iim.2013.51002
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Abstract
The integration of the two fast-developing scientific research areas Semantic Web and Web Mining is known as Semantic Web Mining. The huge increase in the amount of Semantic Web data became a perfect target for many researchers to apply Data Mining techniques on it. This paper gives a detailed state-of-the-art survey of on-going research in this new area. It shows the positive effects of Semantic Web Mining, the obstacles faced by researchers and propose number of approaches to deal with the very complex and heterogeneous information and knowledge which are produced by the technologies of Semantic Web.
KeywordsWeb MiningSemantic WebData MiningSemantic Web Mining
- O. Mustapa?a, A. Karahoca, D. Karahoca and H. Uzunboylu, “Hello World, Web Mining for E-Learning,” Procedia Computer Science, Vol. 3, No. 2, 2011, pp. 1381-1387. doi:10.1016/j.procs.2011.01.019
- H. Liu, “Towards Semantic Data Mining,” Proceedings of the 9th International Semantic Web Conference, Shanghai, 7-11 November 2010, pp. 1-8.
- V. Nebot and R. Berlanga, “Finding Association Rules in Semantic Web Data,” Knowledge-Based Systems, Vol. 25, No. 1, 2012, pp. 51-62. doi:10.1016/j.knosys.2011.05.009
- N. Lavra?, A. Vavpeti?, L. Soldatova, I. Trajkovski and P. K. Novak, “Using Ontologies in Semantic Data Mining with SEGS and G-SEGS,” Proceedings of the 14th International Conference on Discovery Science, Espoo, 5-7 October 2011, pp. 165-178.
- D. Jeon and W. Kim, “Development of Semantic Decision Tree,” Proceedings of the 3rd International Conference on Data Mining and Intelligent Information Technology Applications, Macau, 24-26 October 2011, pp. 28-34.
- V. Sugumaran and J. A. Gulla, “Applied Semantic Web Technologies,” Taylor & Francis Group, Boca Raton, 2012.
- J. Domingue, D. Fensel and J. A. Hendler, “Handbook of Semantic Web Technologies,” Springer-Verlag, Heidelberg, 2011.
- A. Jain, I. Khan and B. Verma, “Secure and Intelligent Decision Making in Semantic Web Mining,” International Journal of Computer Applications, Vol. 15, No. 7, 2011, pp. 14-18. doi:10.5120/1962-2625
- V. Nebot and R. Berlanga, “Mining Association Rules from Semantic Web Data,” Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Córdoba, 1-4 June 2010, pp. 504-513.
- W. Yong-Gui and J. Zhen, “Research on Semantic Web Mining,” Proceedings of the International Conference on Computer Design and Applications, Qinhuangdao, 25-27 June 2010, pp. 67-70. doi:10.1109/ICCDA.2010.5541057U
- A. Segura, C. Vidal-Castro, V. Menéndez-Domínguez, P. G. Campos and M. Prieto, “Using Data Mining Techniques for Exploring Learning Object Repositories,” The Electronic Library, Vol. 29, No. 2, 2011, pp. 162-180. doi:10.1108/02640471111125140
- Z. Abedjan and F. Naumann, “Context and Target Configurations for Mining RDF Data,” Proceedings of the 1st International Workshop on Search and Mining Entity-Relationship Data, Glasgow, 24-28 October 2011, pp. 23-24. doi:10.1145/2064988.2064998