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

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

doi:10.11959/j.issn.2096-3750.2018.00074

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

Theory and Technology | 更新时间：2024-06-05

- Internet of everything:interconnection,mining and visualization of academic data
- Chinese Journal on Internet of Things Vol. 2, Issue 4, Pages: 56-60(2018)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2018.00074
  CLC： TP391
- Published：30 December 2018，
  
  Published Online：2018-12，
- 稿件说明：
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QIUYING ZHANG, LE ZHOU, JINGYAO TANG, et al. Internet of everything:interconnection,mining and visualization of academic data. [J]. Chinese journal on internet of things, 2018, 2(4): 56-60.
DOI：

QIUYING ZHANG, LE ZHOU, JINGYAO TANG, et al. Internet of everything:interconnection,mining and visualization of academic data. [J]. Chinese journal on internet of things, 2018, 2(4): 56-60. DOI： 10.11959/j.issn.2096-3750.2018.00074.

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。

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.

关键词

物联网学术大数据可视化知识图谱

Keywords

Internet of thingsacademic big datavisualizationknowledge map

references

WANG R, YAN Y, WANG J ,et al. AceKG:a large-scale knowledge graph for academic data mining[C]// Proceedings of the 27th ACM International Conference on Information and Knowledge Management,October 22-26,2018,Torino,Italy. New York:ACM, 2018: 1487-1490.

SINGHAL A . Introducing the knowledge graph:things,not strings[J]. Official Google Blog, 2012

HOFFART J, SUCHANEK F M, BERBERICH K ,et al. Yago2:a spatially and temporally enhanced knowledge base from Wikipedia[J]. Artificial Intelligence, 2013,194: 28-61.

MITCHELLT M, COHENW W, HRUSCHKAE R ,et al. Never-ending learning[C]// Twenty-ninth AAAI Conference on Artificial Intelligence,January 25-30,2015,Austin,Texas. Palo Alto:AAAI Press, 2015.

JENS L, ROBERT I, MAX J ,et al. Dbpedia——a largescale,multilingual knowledge base extracted from Wikipedia[J]. Semantic Web Journal, 2015,6(2): 167-195.

CHRISTOPHER D S, ALEX R, CHRISTOPHER R ,et al. Deepdive:declarative knowledge base construction[J]. Sigmod Record, 2016,45(1): 60-67.

HU Y . Efficient,high-quality force-directed graph drawing[J]. Mathematica Journal, 1984,10(1): 37-71.

JACOMY M, VENTURINI T, HEYMANN S ,et al. ForceAtlas2,a continuous graph layout algorithm for handy network visualization designed for the gephi software[J]. Plos One, 2014,9(6).

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