图书情报工作 ›› 2021, Vol. 65 ›› Issue (23): 136-148.DOI: 10.13266/j.issn.0252-3116.2021.23.015

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学术图表知识发现技术框架及研究进展

丁培   

  1. 深圳大学图书馆 深圳 518060
  • 收稿日期:2021-06-08 修回日期:2021-09-12 出版日期:2021-12-05 发布日期:2021-12-18
  • 作者简介:丁培,馆员,博士研究生,E-mail:peid@szu.edu.cn。
  • 基金资助:
    本文系广东省哲学社会科学规划学科共建项目"支持深度知识发现的文内数据与文献关联研究"(项目编号:GD18XTS07)研究成果之一。

The Technical Framework and Research Progress of Knowledge Discovery in Academic Figures and Tables

Ding Pei   

  1. Shenzhen University Library, Shenzhen 518060
  • Received:2021-06-08 Revised:2021-09-12 Online:2021-12-05 Published:2021-12-18

摘要: [目的/意义]科技资源深度融合背景下,学术图表知识发现是提供除文本知识发现外新的知识发现方式,是完善文献知识发现的重要一环,可提升科研人员科学发现及知识创造效能,推动数字图书馆知识服务升级。[方法/过程]梳理学术图表知识发现的演进脉络,详细论证其技术框架内容,证明学术图表知识发现技术逐步成熟。结合学术图表知识发现应用服务,论证学术图表知识发现在科技创新多方面有广阔应用空间。[结果/结论]展望学术图表知识发现未来,我们需要:重视学术图表知识发现,将其融入文献知识发现体系内;完善学术图表语义知识组织体系,构建专门的学术图表语义知识库;开发新型学术图表知识发现应用。

关键词: 学术图表, 知识发现, 知识组织, 信息抽取

Abstract: [Purpose/significance] Under the background of deep integration of scientific resources, knowledge discovery of academic figures and tables provides a new way of knowledge discovery besides text knowledge discovery. Knowledge discovery of academic figures and tables is an important segment in document knowledge discovery perfection, it improves the efficiency of scientific discovery and knowledge creation of researchers and promotes the upgrade of knowledge service of digital library.[Method/process] This paper sort out the evolution of knowledge discovery of academic figures and tables, demonstrated its technical framework in detail and proved that the knowledge discovery technology of academic figures and tables had been gradually mature. Combined with knowledge discovery application service with academic charts, this paper found that knowledge discovery of academic figures and tables could support scientific and technological innovation activities in many ways.[Result/conclusion] Looking into the future, we need to:attach importance to the knowledge discovery of academic figures and tables and integrate it into the literature knowledge discovery system; perfect the semantic knowledge organization system of academic figures and tables and build a special semantic knowledge base of academic figures and tables; develop new knowledge discovery applications for academic figures and tables.

Key words: academic figures and tables, knowledge discovery, knowledge organization, information extraction

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