实验规程的过程级语义表示研究综述  

Review of Semantic Representation of Experimental Protocols at Process-Level

作　　者：付芸 刘细文[1,2] 朱丽雅 韩涛 Fu Yun;Liu Xiwen;Zhu LiyaHan Tao(National Science Library,Chinese Academy of Sciences,Beijing 100190,China;Department of Information Resources Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中国科学院文献情报中心,北京100190 [2]中国科学院大学经济与管理学院信息资源管理系,北京100190

出　　处：《数据分析与知识发现》2023年第8期1-16,共16页Data Analysis and Knowledge Discovery

基　　金：国家自然科学基金重点项目(项目编号:72234005);国家社会科学基金项目(项目编号:22BTQ019)的研究成果之一。

摘　　要：【目的】揭示实验规程过程级语义表示研究进展,发现尚需解决的关键研究问题,探究发展趋势。【文献范围】使用相关主题词在Web of Science、arXiv、Engineering Village、中国知网、万方、维普中检索筛选出76篇文献,并参考知名实验规程专业期刊的提交要求和评审原则文档。【方法】在界定实验规程及其过程级语义表示相关概念基础上,从过程级语义表示方法、表示要素抽取方法以及相关表示数据应用三方面进行分析评述。【结果】实验规程的过程级语义表示研究整体处于发展初期,表示方法中表示框架尚未统一、表示要素各异,从以自然语言编写为主的实验规程中自动抽取过程级语义表示要素难度较大、效果一般,过程级语义表示的实验规程数据已在部分方向开展应用研究,整体可提升空间较大。【局限】未详细阐述面向表示要素自动抽取技术细节及数据应用方法过程。【结论】未来应融合各类表示方法的优势以探索构建包含较完整要素的统一表示框架,探索基于先进智能技术的表示要素自动抽取方法研究,探索使用过程级语义表示的实验数据开展广泛应用研究。[Objective]This paper explores the research progress of the process-level semantic representation of experimental protocols.It aims to discover the key issues to be addressed and identify development trends.[Coverage]We used related topics to retrieve the relevant literature from Web of Science,arXiv,Engineering Village,CNKI,Wanfang,and VIP.We also examined the requirements of the submission requirements and evaluation principles of renowned journals on experimental protocols.[Methods]First,we defined the concepts of experimental protocols and their semantic representation at the process-level.Then,we examined the representation methods,representation element extraction,and application of representative data.[Results]The research on process-level semantic representation is in the early development stages.The representation framework was not unified,and the elements were different.The experimental protocols were mainly written in natural language,which were difficult to extract the representation elements automatically.Some studies explored the application of process-level semantic representation data,which leaves more knowledge gaps to be filled.[Limitations]This paper does not thoroughly discuss the technical details of extracting representation elements from literature and data application methods.[Conclusions]We need to establish a unified representation framework for more complete elements by integrating various representation methods.We should also explore automatic extraction methods based on advanced intelligent technology and application using the process-level semantic representation data.

关 键 词：实验规程 过程级语义表示 表示方法 表示要素抽取方法 数据应用 

分 类 号：G35[文化科学—情报学] N19[自然科学总论]