Journal of Guangdong University of Technology ›› 2019, Vol. 36 ›› Issue (01): 1-9.doi: 10.12052/gdutxb.180135

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A Research on Problem Oriented Intelligent Processing Model by Basic-Element and Factor Space

Li Xing-sen1, Xu Li-bo2, Liu Hai-tao3   

  1. 1. Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou 510006, China;
    2. Research Center of Intelligent Computing and Data Management, Zhejiang University Ningbo Institute of Technology, Ningbo, 315100, China;
    3. College of Science, Liaoning Technical University, Fuxin 123000, China
  • Received:2018-10-12 Online:2019-01-25 Published:2018-12-05

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Abstract: The Internet has become an important way of obtaining information, but it is still difficult to provide aids to problem solving. Problem solving oriented knowledge searching in the Internet has not been solved thoroughly. The key factor is the reconstruction of web information. The combination of network and intelligence will bring the knowledge-based application of web information into a new stage. A cross-study is proposed on the novel hybrid method of extracting the objects, attributes, and values from the mass information of internet with simulation and automatically building the field basic elements on macro information based on Extenics, factor space theory and intelligent knowledge. In addition, a lot of future research directions are put forward, such as on intelligent algorithm which collects correlative factors of special problem from the field of information for acquiring domain knowledge. The research may provide theoretical basis and new methods for using the internet to generate the innovative strategy of problem solving and examine a new generation of problem-solving oriented knowledge search engine.

Key words: Extenics, factor space, information structure, knowledge mining, basic-element

CLC Number: 

  • TP315
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