摘要
【目的】总结科学发现偶然性的概念、组成、典型支撑技术和应用,分析相关研究面临的挑战和发展方向。【文献范围】在Microsoft Academic、Google Scholar等平台中对相关关键词(如"serendipity""novelty""diversity"等)进行检索,经筛选后共引用102篇文献。【方法】回顾不同场景下科学研究中的偶然发现,探讨科学发现偶然性的概念,对相关支撑工具以及应用进行分类总结。【结果】支持偶然发现的工具有助于科学研究;目前偶然发现没有统一定义,如何评估科学发现的偶然性仍具有困难。【局限】影响科学发现的偶然性因素复杂,已有的研究分析尚不全面。【结论】科学研究中的偶然发现有助于科学进步,但探索科学发现的偶然性仍面临着缺少度量标准、难于控制等一系列挑战。
[Objective] This paper summarizes the components and definitions of serendipity, reviews representative supporting technologies and applications of serendipity in science, and discusses challenges and future directions in this field. [Coverage] We searched relevant keywords such as"serendipity","novelty"and"diversity"in research repositories such as Microsoft Academic and Google Scholar. A total of 102 well-selected references are finally cited. [Methods] We reviewed serendipitous discoveries in various scenarios, and discussed the concept of serendipity in the context of science. Relevant tools and applications are categorized. [Results] The tools that support serendipity are conducive to scientific research. However, there is no uniform definition of serendipity, thus making it difficult to measure serendipity in science. [Limitations] The factors affecting serendipity in science are complex, and yet to be explored. [Conclusions] Serendipity is one of the indispensable factors for scientific advances. However, many challenges are facing the exploration of serendipity in science,such as lack of metrics and difficulty to control.
作者
于硕
Hayat Dino Bedru
储新倍
袁宇渊
万良田
夏锋
Yu Shuo;Hayat Dino Bedru;Chu Xinbei;Yuan Yuyuan;Wan Liangtian;Xia Feng(School of Software,Dalian University of Technology,Dalian 116620,China;School of Engineering,IT and Physical Sciences,Federation University Australia,Ballarat,VIC 3353,Australia)
出处
《数据分析与知识发现》
CSSCI
CSCD
北大核心
2021年第1期16-35,共20页
Data Analysis and Knowledge Discovery
关键词
科学发现偶然性
跨学科
突发性
推荐系统
Serendipity in science
Interdisciplinarity
Unexpectedness
Recommender system