Multi Dimension Knowledge Mining in Heterogeneous Data Resources

Abstract:

With study on heterogeneous network environment and data source object, this paper has explored a variety of data in the feasibility knowledge discovery in accordance with the model. The method has been achieved on the data validation of ideas in how to effectively use the network data mining resources and the access to potentially obtain the valuable domain knowledge. The main research activities include: 1.presenting the domain knowledge mining model on the network environment. 2. Presenting a new model of the probability of topic: Topic- Author model. 3. Presenting a Blog knowledge framework with the analysis and diffusion of ideas on the theme of mining, the results shows that the field of knowledge is proposed the mining method, which is able to find a large number of valuable, potentially multi-dimensional knowledge and application of knowledge. Therefore, it can provide the users with a variety of services and support the information age, knowledge acquisition and learning.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 5256-5262
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.5256
• Online since: January 2012
• Authors: Yong Jiao Wang
• Keywords: Domain Knowledge, Knowledge Mining, Network Resources

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