Please wait a minute...
Advanced Search
数据分析与知识发现  2018, Vol. 2 Issue (5): 32-39     https://doi.org/10.11925/infotech.2096-3467.2017.1328
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于文献的科研事件表示与语义链接研究*
王佳琪, 张均胜(), 乔晓东
中国科学技术信息研究所 北京 100038
Analyzing Representation and Semantic Links of Scientific Research Events
Wang Jiaqi, Zhang Junsheng(), Qiao Xiaodong
Institute of Scientific and Technical Information of China, Beijing 100038, China
全文: PDF (669 KB)   HTML ( 1
输出: BibTeX | EndNote (RIS)      
摘要 

【目的】 为满足大数据时代科研工作者快速获取科技情报、把握科技发展趋势的需求, 提出一种基于文献的科研事件表示方法, 以期实现多种资源类型关联的科研信息融合网络分析。【方法】 通过综合科技文献的元数据和文本内容信息分析, 集成科技文献的内在特征和外在特征, 形成科研事件的定义与表示方法, 建立科研事件之间的语义链接以形成科研事件网络。【结果】 详细阐述科研事件语义链接推理规则, 从时序和引用关系两个角度构建形成科研事件链。【局限】基于海量科技文献构建大规模科研事件网络, 需进一步梳理完善科研事件语义链接建立、推理及一致性检查规则。【结论】 科研事件网络从事件角度描述科技文献对应的科研活动及其语义关联, 有助于开展基于事件的科技情报分析和信息检索应用。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
王佳琪
张均胜
乔晓东
关键词 科技文献科研事件语义链接事件网络    
Abstract

[Objective] This study proposes an approach to analyze research events from scholarly literature, aiming to help researchers obtain scientific information quickly and grasp the development trends. [Methods] First, we examined the characteristics of scientific literature with the help of metadata and text content analysis. Then, we proposed a representation method for research events, and established semantic links among them to construct a network for related events. [Results] We established the semantic link building rules from the perspectives of temporal and citation relations among scientific research events. [Limitations] More research is needed to automatically or semi-automatically construct semantic links among scientific research events. [Conclusions] The network of scientific research events could improve event-based information analysis and retrieval.

Key wordsScientific Literature    Scientific Research Event    Semantic Links    Event Networks
收稿日期: 2017-12-27      出版日期: 2018-06-20
ZTFLH:  G350  
基金资助:*本文系国家自然科学基金项目“基于文献的科研事件语义链接及其应用研究”(项目编号: 71503240)的研究成果之一
引用本文:   
王佳琪, 张均胜, 乔晓东. 基于文献的科研事件表示与语义链接研究*[J]. 数据分析与知识发现, 2018, 2(5): 32-39.
Wang Jiaqi,Zhang Junsheng,Qiao Xiaodong. Analyzing Representation and Semantic Links of Scientific Research Events. Data Analysis and Knowledge Discovery, 2018, 2(5): 32-39.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2017.1328      或      http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2018/V2/I5/32
事件类型 事件类型解释
发表事件 科技文献的发表情况, 根据科技文献类型, 包括科技期刊论。科技会议论文的发表、专利授权、技术报告发表等。
引用事件 科技文献之间的引用, 发表事件能触发引用事件。进一步扩大范围, 存在期刊之间的引用以及科研机构之间的引用, 甚至是国家和地区之间的引用。
  基于文献的常见科研事件类型及解释
事件要素 关系
When 先后、承接、同时期
Where 相同期刊、会议、出版社、项目
Who 同作者、合作
What 相关、相似、包含
How 相同方法/技术、改进方法/技术
Why 相关、相似、包含
  事件元素之间的关系
  科技文献与科研事件关联实例示意图
  基于时序关系的科研事件网络
  基于引用关系的科研事件网络
  科研事件发展脉络
[1] 刘勘. 专题:基于科技文献的知识挖掘[刘勘副教授组织][J]. 图书情报工作, 2012, 56(4): 5.
[1] (Liu Kan.Special Topic: Knowledge Mining Based on Scientific Literature[J]. Library and Information Service, 2012, 56(4): 5.)
[2] Doddington G, Mitchell A, Przybocki M, et al.The Automatic Content Extraction (ACE) Program-tasks, Data, and Evaluation[C]// Proceedings of the 3rd Language Resources and Evaluation Conference. 2004.
[3] 仲兆满, 刘宗田, 周文, 等.事件关系表示模型[J]. 中文信息学报, 2009, 23(6): 56-61.
[3] (Zhong Zhaoman, Liu Zongtian, Zhou Wen, et al.The Model of Event Relation Representation[J]. Journal of Chinese Information Processing, 2009, 23(6): 56-61.)
[4] Elkhlifi A, Faiz R.Automatic Annotation Approach of Events in News Articles[J]. Astrophysics & Space Science, 1996, 235(1): 161-163.
[5] Allan J, Papka R, Lavrenko V.On-line New Event Detection and Tracking[C]// Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 1998: 37-45.
[6] Stilo G, Velardi P.Time Makes Sense: Event Discovery in Twitter Using Temporal Similarity[C]// Proceedings of IEEE/WIC/ACM International Joint Conferences on Web Intelligence. IEEE, 2014: 186-193.
[7] Liu Y, Luo X, Xuan J.Online Hot Event Discovery Based on Association Link Network[J]. Concurrency & Computation Practice & Experience, 2015, 27(15): 4001-4014.
doi: 10.1002/cpe.3374
[8] Zhou X, Chen L.Event Detection over Twitter Social Media Streams[J]. VLDB Journal, 2014, 23(3): 381-400.
doi: 10.1007/s00778-013-0320-3
[9] Mcminn A J, Tsvetkov D, Yordanov T, et al.An Interactive Interface for Visualizing Events on Twitter[C]// Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval. ACM, 2014: 1271-1272.
[10] Allan J.Topic Detection and Tracking: Event-Based Information Organization[M]. Kluwer Academic Publishers, 2002.
[11] 范云满, 马建霞, 曾苏. 基于知识图谱的领域新兴主题研究现状分析[J].情报杂志, 2013, 32(9): 88-94.
doi: 10.3969/j.issn.1002-1965.2013.09.017
[11] (Fan Yunman, Ma Jianxia, Zeng Su.The Analysis for the Study of the Field Emerging Topic Based on Knowledge Mapping[J]. Journal of Intelligence, 2013, 32(9): 88-94.)
doi: 10.3969/j.issn.1002-1965.2013.09.017
[12] Tu Y N, Seng J L.Indices of Novelty for Emerging Topic Detection[J]. Information Processing & Management, 2012, 48(2): 303-325.
[13] Small H, Boyack K W, Klavans R.Identifying Emerging Topics in Science and Technology[J]. Research Policy, 2014, 43(8): 1450-1467.
doi: 10.1016/j.respol.2014.02.005
[14] Yin P, Cui R.Evaluation of Literature Frontier Based on Latent Semantic Analysis[C]// Proceedings of the 2012 IEEE Symposium on Robotics and Applications. IEEE, 2012: 403-406.
[15] 程齐凯, 王晓光.一种基于共词网络社区的科研主题演化分析框架[J]. 图书情报工作, 2013, 57(8): 91-96.
doi: 10.7536/j.issn.0252-3116.2013.08.017
[15] (Cheng Qikai, Wang Xiaoguang.A New Research Frame for Analyzing the Evolution of Research Topics Based on Co-word Network Communities[J]. Library and Information Service, 2013, 57(8): 91-96.)
doi: 10.7536/j.issn.0252-3116.2013.08.017
[16] 王晓光, 程齐凯. 基于NEViewer的学科主题演化可视化分析[J]. 情报学报, 2013, 32(9): 900-911.
[16] (Wang Xiaoguang, Cheng Qikai.Analysis on Evolution of Research Topics in a Discipline Based on NEViewer[J]. Journal of the China Society for Scientific and Technical Information, 2013, 32(9): 900-911.)
[17] 李鲲, 姚长青, 张均胜.一种基于文献的科研事件库构建方法[J]. 情报理论与实践, 2017, 40(9): 129-134, 139.
[17] (Li Kun, Yao Changqing, Zhang Junsheng.Semantic Organization Approach to Science and Technology Literature Based on Event Perspective[J]. Information Studies: Theory & Application, 2017, 40(9): 129-134, 139.)
[18] Zhang J, Sun Y, Yao C.Semantically Linking Events for Massive Scientific Literature Research[J]. Electronic Library, 2017, 35(4): 724-744.
doi: 10.1108/EL-09-2016-0198
[19] Zhang J, Yao C, Sun Y, et al.Building Text-based Temporally Linked Event Network for Scientific Big Data Analytics[J]. Personal and Ubiquitous Computing, 2016, 20(5): 743-755.
doi: 10.1007/s00779-016-0940-x
[20] Allen J F.Maintaining Knowledge about Temporal Intervals[J]. Readings in Qualitative Reasoning About Physical Systems, 1990, 26(11): 361-372.
doi: 10.1145/182.358434
[21] Allen J F.Towards a General Theory of Action and Time[M]. Elsevier Science Publishers Ltd., 1984.
[22] Kerlin B, Cooley B C, Isermann B H, et al.Cause-effect Relation Between Hyperfibrinogenemia and Vascular Disease[J]. Blood, 2004, 103(5): 1728-1734.
doi: 10.1182/blood-2003-08-2886
[23] Li M, Chen J, Chen T, et al.Probability for Disaster Chains in Emergencies[J]. Journal of Tsinghua University: Science and Technology, 2010, 50(8): 1173-1177.
doi: 10.1631/jzus.B1000005
[24] 刘浏, 王东波. 引用内容分析研究综述[J]. 情报学报, 2017, 36(6): 637-643.
[24] (Liu Liu, Wang Dongbo.Review on Citation Context Analysis[J]. Journal of the China Society for Scientific and Technical Information, 2017, 36(6): 637-643.)
[25] 楼雯. 馆藏资源语义化关键技术及实证研究[J]. 中国图书馆学报, 2013, 39(6): 27-40.
doi: 10.3969/j.issn.1001-8867.2013.06.003
[25] (Lou Wen.An Empirical Study on Key Technologies of Library Resource Semantization[J]. Journal of Library Science in China, 2013, 39(6): 27-40.)
doi: 10.3969/j.issn.1001-8867.2013.06.003
[26] 刘宗田, 黄美丽, 周文, 等. 面向事件的本体研究[J]. 计算机科学, 2009, 36(11): 189-192.
doi: 10.3969/j.issn.1002-137X.2009.11.046
[26] (Liu Zongtian, Huang Meili, Zhou Wen, et al.Research on Event-oriented Ontology Model[J]. Computer Science, 2009, 36(11): 189-192.)
doi: 10.3969/j.issn.1002-137X.2009.11.046
[1] 徐红霞,李春旺. 科技文献内容知识点抽取研究综述[J]. 数据分析与知识发现, 2019, 3(3): 14-24.
[2] 刘清民,姚长青,石崇德,温晓洁,孙玥莹. 面向科技文献神经机器翻译词汇表优化研究*[J]. 数据分析与知识发现, 2019, 3(3): 76-82.
[3] 贺惠新,刘丽娟. 主动学习的科技文献研究对象标引体系研究*[J]. 现代图书情报技术, 2016, 32(3): 67-73.
[4] 王颖, 吴振新, 谢靖. 面向科技文献的语义检索系统研究综述[J]. 现代图书情报技术, 2015, 31(5): 1-7.
[5] 张帆, 乐小虬. 面向领域科技文献的句子级创新点抽取研究[J]. 现代图书情报技术, 2014, 30(9): 15-21.
[6] 张琪, 章颖华. 情境感知的科技文献协同推荐方法研究[J]. 现代图书情报技术, 2012, 28(2): 10-17.
[7] 邢美凤. 科技文献关键词冗余解决方案研究[J]. 现代图书情报技术, 2012, 28(1): 34-39.
[8] 张莉华. 科技文献检索课网页制作谈[J]. 现代图书情报技术, 1999, 15(6): 55-56.
[9] 赵宗仁. 汉语科技文献自动标引系统CADAIS[J]. 现代图书情报技术, 1993, 9(1): 12-15.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 《数据分析与知识发现》编辑部
地址:北京市海淀区中关村北四环西路33号 邮编:100190
电话/传真:(010)82626611-6626,82624938
E-mail:jishu@mail.las.ac.cn