畜牧兽医基因组学领域技术空白中外对比研究

doi:10.13998/j.cnki.issn1002-1248.23-0200

农业图书情报学报 ›› 2023, Vol. 35 ›› Issue (8): 88-97.doi: 10.13998/j.cnki.issn1002-1248.23-0200

畜牧兽医基因组学领域技术空白中外对比研究

吴蕾^1,2, 李小杰³, 丁倩^1,2, 孙巍^1,2, 周正奎⁴

1.中国农业科学院农业信息研究所,北京 100081;
2.农业农村部农业大数据重点实验室,北京 100081;
3.中国农业科学院深圳农业基因组研究所,深圳 518120;
4.中国农业科学院北京畜牧兽医研究所,北京 100193

收稿日期:2023-03-30 出版日期:2023-08-05 发布日期:2023-12-04
作者简介:吴蕾（1985- ）,女,助理研究员,研究方向为文本挖掘与情报分析。共同第一作者李小杰（1982- ）,男,副研究员,研究方向为农业生物组学发展战略。丁倩（1987- ）,女,助理研究员,研究方向为农业信息管理。孙巍（1978- ）,女,研究员,研究方向为技术预测预见。周正奎（1979-）,男,研究员,研究方向为动物遗传育种与繁殖
基金资助:
国家社科基金青年项目“基于图模型的农业领域多源知识迁移研究”（18CTQ028）; 国家重点研发计划项目“智能化情报分析软件工具研发”子课题“领域演化分析工具研发”（2022YFF0711904）

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

WU Lei^1,2, LI Xiaojie³, DING Qian^1,2, SUN Wei^1,2, ZHOU Zhengkui⁴

1. Agricultural Information Institute of CAAS, Beijing 100081;
2. Key Laboratory of Ag-ricultural Big Data Ministry of Agriculture and Rural Affairs. P. R. China, Beijing 100081;
3. Shenzhen Agricultural Genome Research Institute of CAAS, Shenzhen 518120;
4. Institute of Animal Science of CAAS, Beijing 100193

Received:2023-03-30 Online:2023-08-05 Published:2023-12-04

摘要/Abstract

摘要： [目的/意义]为了挖掘中国在农业重点领域的技术空白,并预测空白点的未来发展趋势,为科技管理决策者提供有效的科技发展技术机会咨询建议。[方法/过程]首先,使用关键句嵌入方法和句向量聚类方法,对论文和专利的摘要信息进行挖掘;然后进行主题聚类对比分析,发现技术空白;其次,构建语义相似性网络和分类相似性网络,发现容易与空白点形成交叉融合的主题方向。[结果/结论]在畜牧兽医领域对基因组学技术进行了实证分析。结果表明,该方法能够发现技术空白,并结合专家分析,可以对畜牧兽医领域基因组学技术进行发展现状解读和未来趋势预测,并为中国畜牧兽医领域基因组学技术智库咨询提供方法和数据支撑。

关键词: 技术空白发现, 关键句抽取, 句向量聚类, 基因组学, 知识产权

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.

Key words: technology gaps discovery, key sentence extraction, sentence embedding clus-tering, genomics, intellectual property

中图分类号:

G255.51

吴蕾, 李小杰, 丁倩, 孙巍, 周正奎. 畜牧兽医基因组学领域技术空白中外对比研究[J]. 农业图书情报学报, 2023, 35(8): 88-97.

WU Lei, LI Xiaojie, DING Qian, SUN Wei, ZHOU Zhengkui. Comparative Study on the Technology Gaps in the Field of Animal Husbandry and Veterinary Genomics between China and Foreign Countries[J]. Journal of Library and Information Science in Agriculture, 2023, 35(8): 88-97.

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畜牧兽医基因组学领域技术空白中外对比研究

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

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