物联网学报 ›› 2018, Vol. 2 ›› Issue (4): 56-60.doi: 10.11959/j.issn.2096-3750.2018.00074

• 理论与技术 • 上一篇    下一篇

万物互联:学术数据的互联、挖掘与可视化

张秋颖,周乐,唐静瑶,傅洛伊,王新兵   

  1. 上海交通大学,上海 200240
  • 修回日期:2018-10-29 出版日期:2018-12-01 发布日期:2019-01-03
  • 作者简介:张秋颖(1995-),女,上海交通大学硕士生,主要研究方向为学术大数据和网络爬虫。|周乐(1998-),男,上海交通大学在读,主要研究方向为学术大数据和数据可视化。|唐静瑶(1999-),女,上海交通大学在读,主要研究方向为学术大数据和数据可视化。|傅洛伊(1987-),女,上海交通大学副教授,主要研究方向为社交网络与大数据。|王新兵(1975-),男,上海交通大学特聘教授,主要研究方向为移动互联网、物联网和大数据。

Internet of everything:interconnection,mining and visualization of academic data

Qiuying ZHANG,Le ZHOU,Jingyao TANG,Luoyi FU,Xinbing WANG   

  1. Shanghai Jiao Tong University,Shanghai 200240,China
  • Revised:2018-10-29 Online:2018-12-01 Published:2019-01-03

摘要:

随着物联网的不断发展,“物”的概念已扩展至学术数据领域。由于物联网节点的海量性以及节点关系的复杂性,用户很难直接从互联的学术数据中获得对所需信息的进一步分析。AceMap 作为一个学术搜索系统,为了能够帮助用户获得全方位的学术信息,通过自主研发的 AceKG 学术知识图谱,为用户提供了个性化查询以及实时生成结果的服务;同时,以学术地图(如论文地图、学者地图等)的方式直观呈现学术数据之间的关系,帮助用户高效获取所需信息。

关键词: 物联网, 学术大数据, 可视化, 知识图谱

Abstract:

With the continuous development of the Internet of things,the concept of “things” has also expanded to academic data.Due to the massiveness of IoT node and the complexity of node relationships,it is difficult for users to obtain further analysis of the required information directly from these interconnected academic data.As an academic search system,in order to help users obtain comprehensive academic information,personalized inquiry and real-time results generation services were provided to users by AceMap through the self-developed AceKG academic knowledge map.At the same time,AceMap presents the relationship between academic data visually in the form of academic maps (such as paper maps,author maps,etc.),and users are helped to get the information they need efficiently.

Key words: Internet of things, academic big data, visualization, knowledge map

中图分类号: 

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