INFORMATION RESEARCH

Patented Technology Evolution Path Identification Based on Multi-relation Data Fusion

  • Zhang Xian ,
  • Zeng Rongqiang ,
  • Li Shuying ,
  • Li Jiahui
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  • 1 Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610299;
    2 Department of Information Resource Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    3 School of Computer Science, Chengdu University of Information Technology, Chengdu 610225

Received date: 2023-05-08

  Revised date: 2023-10-04

  Online published: 2024-02-23

Supported by

This work is supported by the National Social Science Foundation of China titled "Study on the Multi-Relation Data Fusion Methods for Identification and Prediction of Technology Innovation Paths" (Grant No. 18BTQ067).

Abstract

[Purpose/Significance] The effective integration of the multiple relations in the patent citation network is conducive to eliminating the influence of subjective motivation on the authenticity of technical relation and improving the objectivity and accuracy of technology evolution path identification results. [Method/Process] Taking the link connectivities, subject similarities and citing intentions in the patent citation network as the basic relations, strengthened relations and regulation relations, it proposed a main path analysis method based on multi-relation data fusion. On this basis, it constructed a technical evolution path searching model based on multi-relation data fusion, and solved the model by using an iterated local search algorithm. Then, it carried out an empirical research t in the field of graphene sensing technology as an example. [Result/Conclusion] The experimental results show that the proposed method can effectively improve the effect of technology evolution path identification in the empirical field. In the future, much work in main path of multi-relation fusion needs to be done in discovering and applying more types of theme associations with integration value, and strengthening the research and verification of data fusion algorithms and models.

Cite this article

Zhang Xian , Zeng Rongqiang , Li Shuying , Li Jiahui . Patented Technology Evolution Path Identification Based on Multi-relation Data Fusion[J]. Library and Information Service, 2024 , 68(3) : 71 -84 . DOI: 10.13266/j.issn.0252-3116.2024.03.007

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