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With the development of internet technology and internet industry, the demands of internet resources are increasing rapidly. Internet becomes more and more complicated. The increasing number of network users and resource-consume applications result in a heavy overloaded network and make the network performance degradation. In this paper, the authors present, how to extract and integrate semantic information from different layers of network. Based on hierarchical semantic extraction techniques, they integrate these heterogeneous semantic information and build exUCL(extended Uniform Content Locator) label to represent semantic information across different layers. They further use these established exUCL to show the network users' behavior and interest models.
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