智慧城市知识图谱模型与本体构建方法

doi:10.11959/j.issn.2096-0271.2020017

Abstract

Abstract:

Specific to problems such as insufficient data resource sharing and difficulty in implementing artificial intelligence applications in the current construction process of smart cities,based on resource description framework of knowledge graph,ontology knowledge system carrier,and digital twins,a knowledge graph model of smart city with data of people as the core was proposed,and a construction method of ontology and sub-ontology in multi-domain knowledge graph supporting the model was also proposed.The idea of “sky,earth and people” model was innovatively proposed,which will play a positive role in how the data of smart city serve urban residents,how to implement artificial intelligence algorithm models and smart city applications.

Key words: smart city, knowledge graph, multi-domain, ontology construction

CLC Number:

TP301

Genlin ZANG, Yaqiang WANG, Qingrong WU, Chunli ZHAN, Yi LI. Model and construction method of the ontology of knowledge graph of smart city[J]. Big Data Research, 2020, 6(2): 96-106.

Figures/Tables 10

References 20

[1]	HALL R E , BOWERMAN B , BRAVERMAN J ,et al. The vision of a smart city[C]// The 2nd International Life Extension Technology Workshop,September 28,2000,Paris,France.[S.l.:s.n]. 2000: 1-7.
[2]	MAHIZHNAN A . Smart cities:the Singapore case[J]. Cities, 1999,16(1): 13-18.
[3]	CASTELLS M . The informational city[M]. Oxford: BlackwellPress, 1989.
[4]	FOX M S . The role of ontologies in publishing and analyzing city indicators[J]. Computers,Environment and Urban Systems, 2015,54: 266-279.
[5]	BELLINI P , BENIGNI M , BILLERO R ,et al. Km4City ontology building vs data harvesting and cleaning for smart-city services[J]. Journal of Visual Languages ＆Computing, 2014,25(6): 827-839.
[6]	WILSON B , CHAKRABORTY A . Planning smart(er) cities:the promise of civic technology[J]. Journal of Urban Technology, 2019,26(4): 29-51.
[7]	MORA L , BOLICI R , DEAKIN M . The first two decades of smart-city research:a bibliometric analysis[J]. Journal of Urban Technology, 2017,24(1): 3-27.
[8]	COLDING J , BARTHEL S , SORQVIST P . Wicked problems of smart cities[J]. The Journal of Smart Cities, 2019,2(4): 512-521.
[9]	GAUR A , SCOTNEY B , PARR G ,et al. Smart city architecture and its applications based on IoT[J]. Procedia Computer Science, 2015,52: 1089-1094.
[10]	KOMNINOS N , BRATSAS C , KAKDERI C ,et al. Smart city ontologies:improving the effectiveness of smart city applications[J]. Journal of Smart Cities, 2015,1(1): 31-46.
[11]	姬溶婧 . 智慧城市研究现状分析[J]. 合作经济与科技, 2019(13): 14-17.
	JI R J . Analysis on current study situation of smart city[J]. Co-Operative Economy ＆Science, 2019(13): 14-17.
[12]	赵军, 刘康, 何世柱 ,等. 知识图谱[M]. 北京: 高等教育出版社, 2018.
	ZHAO J , LIU K , HE S Z ,et al. Knowledge graph[M]. Beijing: Higher Education PressPress, 2018.
[13]	朱畅, 丁仁船 . 基于CiteSpace的国外智慧城市研究进展与热点分析[J]. 安徽建筑大学学报, 2018,26(1): 87-94.
	ZHU C , DING R C . Research progress and hotspot of smart city based on CiteSpace[J]. Journal of Anhui Jianzhu University, 2018,26(1): 87-94.
[14]	臧根林, 王亚强, 吴庆蓉 ,等. 知识图谱中的关系方向和强度研究[J]. 大数据, 2019,5(3): 96-103.
	ZANG G L , WANG Y Q , WU Q R ,et al. Study on direction and strength of relation based on knowledge graph[J]. Big Data Research, 2019,5(3): 96-103.
[15]	王亚强, 臧根林, 吴庆蓉 ,等. 一种领域知识图谱的本体根类型设计[J]. 计算机工程与科学, 2019,41(10): 1861-1867.
	WANG Y Q , ZANG G L , WU Q R ,et al. An ontology root type design of a domain knowledge graph[J]. Computer Engineering ＆ Science, 2019,41(10): 1861-1867.
[16]	王广斌, 崔庆宏, 刘欢 . 国外智慧城市研究的现状分析与启示[J]. 工程管理学报, 2016,30(6): 55-60.
	WANG G B , CUI Q H , LIU H . Current status analyses and enlightenments of smart city abroad[J]. Journal of Engineering Management, 2016,30(6): 55-60.
[17]	朱琳 . 基于知识图谱的智慧城市可视化研究[J]. 信息技术与信息化, 2019(8): 202-203,208.
	ZHU L . Study on visualization of smart city based on knowledge graph[J]. Information Technology and Informatization, 2019(8): 202-203,208.
[18]	高璇 . 我国智慧城市研究特征与趋势——基于CiteSpace知识图谱分析[J]. 城市观察, 2019(3): 147-156.
	GAO X . Research characteristics and trends of smart cities in China:analysis of knowledge graph based on CiteSpace[J]. Urban Insight, 2019(3): 147-156.
[19]	张宁, 盛武 . 基于CiteSpace的国内智慧城市研究现状分析[J]. 洛阳师范学院学报, 2019,38(9): 19-22,28.
	ZHANG N , SHENG W . The status of research on intelligent cities in China based on CiteSpace[J]. Journal of Luoyang Normal University, 2019,38(9): 19-22,28.
[20]	张小娟 . 智慧城市系统的要素、结构及模型研究[D]. 广州:华南理工大学, 2015.
	ZHANG X J . The elements,structure and model of smart city system[D]. Guangzhou:South China University of Technology, 2015.

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