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RETRACTED ARTICLE: Research on intelligent knowledge representation method and algorithm based on basic-element theory

  • S.I. : ATCI 2019
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This article was retracted on 10 June 2022

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Abstract

At present, there are many ways to express knowledge, all of which play an important role in information system. However, these knowledge representation methods cannot reduce the contradiction between knowledge, nor can they effectively extend more new knowledge from existing knowledge. Therefore, this paper puts forward the basic-elements theory and studies the intelligent knowledge representation method of the basic-elements theory. This method studies things, features of things and their corresponding feature quantities as a whole, and USES basic elements to formally describe things, behaviors and relationships, and establishes extended models to express knowledge. The knowledge representation method based on the theory of basic elements can not only express knowledge more accurately and reduce the contradiction between knowledge, but also extend more knowledge from existing knowledge and systematically describe the development of things according to the development nature of basic elements. Experiments show that this method is superior to the common knowledge representation method in terms of expansion rate, clarity and simplification rate.

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Acknowledgements

This study is supported by Major Project for Guang-Zhou Collaborative Innovation of Industry-University-Research (No. 201704020196). This study is supported by Innovation Team Project (Natural Science) of the Education Department of Guangdong Province (2017KCXTD021).

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Correspondence to Huajia Wang.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s00521-022-07497-7"

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Hu, R., Wang, H., Xu, H. et al. RETRACTED ARTICLE: Research on intelligent knowledge representation method and algorithm based on basic-element theory. Neural Comput & Applic 32, 5353–5365 (2020). https://doi.org/10.1007/s00521-020-04703-2

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  • DOI: https://doi.org/10.1007/s00521-020-04703-2

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