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Semantic Web Usage Mining to develop Prediction System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 107 - Number 13 |
| Year of Publication: 2014 |
| Authors: Nu War Hsan |
10.5120/18815-0414
|
Nu War Hsan . Semantic Web Usage Mining to develop Prediction System. International Journal of Computer Applications. 107, 13 ( December 2014), 41-46. DOI=10.5120/18815-0414
Abstract
Technology innovation has led to an explosive growth of recorded information, with the Web being a huge repository under no editorial control. Providing with people with access to information is not the problem; the problem is that people with varying needs and preferences navigate through large Web structures, missing the goal of their inquiry. Web usage mining has been applied effectively in prediction system to overcome deficiencies of traditional approaches. The traditional approach does not take into account the semantic knowledge about the underlying domain. Prediction system cannot predict different types of objects based on their underlying attributes and properties. The integration of primary knowledge is the primary challenge of prediction system. In this paper, the prediction system is developed which extracts the key web objects from web log file and apply a semantic web to mine actionable intelligence.
References
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