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Knowledge Extraction and Application Based on Web 2.0 Meta-Synthesis in Knowledge Architecture
Received date: 2014-08-26
Revised date: 2014-09-19
Online published: 2014-11-07
For users to solve their problems in the intellectual activities, knowledge extraction and application (KEA) are two continuous processes, and should be integrated to knowledge architecture (KA). However, the previous KA's study separates them commonly so that it's really hard to make the knowledge content organically combined with community and context, and will severely reduce the quality and effect of KA. In order to integrate knowledge extraction and application in KA, this paper, using knowledge and its conversion process as the research object, based on documentary statistical analysis and comparative study, first summarizes the basic principles of KEA according to the mechanism of knowledge generation, conversion and the process demand of problem solving, and then puts forward the approach of KEA based on Web 2.0 and comprehensive Information Web (CI-Web) meta-synthesis via the comparison of Web 2.0 and the traditional knowledge generation method. This approach can not only ensure knowledge in KA system will be independently, efficiently, adaptively and qualitatively extracted and applied in macroscopic view, but also ensure each user in KA system will quantitatively extract and apply knowledge in terms of complete representation, correlation, discovery, acquisition, integration and application in microscopic view. This will certainly create a bright future for the integrated construction and innovative development of KA.
Jiang Yongchang , Wang Honglu . Knowledge Extraction and Application Based on Web 2.0 Meta-Synthesis in Knowledge Architecture[J]. Library and Information Service, 2014 , 58(21) : 116 -124 . DOI: 10.13266/j.issn.0252-3116.2014.21.017
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