Comparative Study on the Technology Gaps in the Field of Animal Husbandry and Veterinary Genomics between China and Foreign Countries

Abstract

[Purpose/Significance] In order to explore the technological gaps in Chinese im-portant agricultural fields and predict the future trends of these gaps, this study investigates technology opportunity discovery in the embryonic and developmental stages from the per-spectives of technology gap discovery and technology fusion opportunity discovery, provid-ing consultation and suggestions for decision-makers on the technology development op-portunities for technology innovation. [Method/Process] First, TextRank method was used to mine information in abstracts of papers and patents in this paper, which is a key sentence embedding method. The sentence vector clustering method was applied to extract topic sen-tences of papers and patents. Second, comparative analysis of topic clustering was used to detect technology gaps. Third, semantic similarity networks and classification similarity networks were used to discover the theme directions, which are likely to develop into cross-domain research areas with these technology gaps. [Results/Conclusions] The experi-mental results indicate that the proposed method can identify technological gaps. Combined with expert analysis, the experimental results can show the current development status and predict the trends of genomics technology in the field of animal husbandry and veterinary medicine. At the same time, this study can provide methodological and data support for genomics technology think tanks in the field of animal husbandry and veterinary medicine in China. Specifically, China has published a large number of papers and patents, but the tech-nical architecture layout is not as complete as foreign countries. The topics of Chinese papers are more complete than those of Chinese patents. In addition, China lacks sufficient basic research support in the integration and association of multi-omics, and the technical conditions are also incomplete. The field of genetically modified (GM) breeding technology is also recognized as a technological gap in China. In addition, it is possible that GM breeding and whole genome association analysis, multi-omics integration and viral genome analysis of livestock and poultry will become new technological fusion points in the future. There are still drawbacks in this study: It still takes time and manpower to manually analyze and interpret the relationship between scientific papers and technological patents. In the future research, more automated methods will be designed to construct correlation comparison methods between two data objects. Additionally, there is still room for improvement in expert interpretation of clustering themes. In the future, more data can be considered to add label information, reducing manual annotation work while providing the possibility of increasing quantitative accuracy in the result validation section.

Keywords

• technology gaps discovery|key sentence extraction|sentence embedding clus-tering|genomics|intellectual property