Please wait a minute...
Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (5): 32-39    DOI: 10.11925/infotech.2096-3467.2017.1328
Orginal Article Current Issue | Archive | Adv Search |
Analyzing Representation and Semantic Links of Scientific Research Events
Jiaqi Wang,Junsheng Zhang(),Xiaodong Qiao
Institute of Scientific and Technical Information of China, Beijing 100038, China
Download: PDF(669 KB)   HTML ( 1
Export: BibTeX | EndNote (RIS)      
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     
Received: 27 December 2017      Published: 20 June 2018

Cite this article:

Jiaqi Wang,Junsheng Zhang,Xiaodong Qiao. Analyzing Representation and Semantic Links of Scientific Research Events. Data Analysis and Knowledge Discovery, 2018, 2(5): 32-39.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.1328     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I5/32

[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.
[8] Zhou X, Chen L.Event Detection over Twitter Social Media Streams[J]. VLDB Journal, 2014, 23(3): 381-400.
[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.
[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.)
[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.
[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.
[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.)
[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.
[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.
[20] Allen J F.Maintaining Knowledge about Temporal Intervals[J]. Readings in Qualitative Reasoning About Physical Systems, 1990, 26(11): 361-372.
[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.
[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.
[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.
[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.)
[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.
[26] (Liu Zongtian, Huang Meili, Zhou Wen, et al.Research on Event-oriented Ontology Model[J]. Computer Science, 2009, 36(11): 189-192.)
[1] Hongxia Xu,Chunwang Li. Review of Knowledge Extraction of Scientific Literature[J]. 数据分析与知识发现, 2019, 3(3): 14-24.
[2] He Huixin,Liu Lijuan. A Scientific Research Object Labeling System Based on Active earning[J]. 现代图书情报技术, 2016, 32(3): 67-73.
[3] Wang Ying, Wu Zhenxin, Xie Jing. Review on Semantic Retrieval System for Scientific Literature[J]. 现代图书情报技术, 2015, 31(5): 1-7.
[4] Xing Meifeng. Study on Solution to Redundancy of Scientific Literature Keywords[J]. 现代图书情报技术, 2012, 28(1): 34-39.
[5] Yang He Yang Yihong Qiao Xiaodong Li Ning Zhu Lijun. Construction of Natural Language Thesauri for Automatic Assistant Indexing Literature System[J]. 现代图书情报技术, 2010, 26(6): 17-24.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn