Next Article in Journal
Efficient Method for POI/ROI Discovery Using Flickr Geotagged Photos
Previous Article in Journal
A Multiresolution Grid Structure Applied to Seafloor Shape Modeling
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2018, 7(3), 120; https://doi.org/10.3390/ijgi7030120

A Co-Citation and Cluster Analysis of Scientometrics of Geographic Information Ontology

1
,
1,2,* , 1
,
1
and
3
1
School of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Collaborative Innovation Center of Geo Spatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
3
CCCC Second Highway Consultants Co., Ltd. No.18, Chuangye Road, Wuhan Economic and Technologic Development Zone, Wuhan 430056, China
*
Author to whom correspondence should be addressed.
Received: 14 December 2017 / Revised: 11 February 2018 / Accepted: 12 March 2018 / Published: 16 March 2018
Full-Text   |   PDF [2301 KB, uploaded 3 May 2018]   |  

Abstract

Geographic information ontology represents an effective means of expressing geographic concepts and relationships between them. As an emerging field of study, it has drawn the attention of increasing numbers of scholars worldwide. In this study, both co-citation and cluster analysis methods of scientometrics are used to perform a comprehensive analysis of the papers on the topic of geographic information ontology indexed by the Web of Science (WoS) and published between 2001 and 2016. The results show that the history of the study of geographic information ontology can be divided roughly into three periods. Computer science and mathematics play important roles in this field of study. The International Journal of Geographical Information Science is an important periodical that provides knowledge resources for the study of geographic information ontology. The papers of Gruber TR and Guarino N are referenced most frequently, as well as that of Smith B., who formally introduced information ontology to the field of geographic information science. Providing personalized and intelligent geographic information services for users is an important focus of geographic information ontology. View Full-Text
Keywords: geographic information ontology; cluster; co-citation; GIS; research trend; centrality geographic information ontology; cluster; co-citation; GIS; research trend; centrality
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Liu, Y.; Li, L.; Shen, H.; Yang, H.; Luo, F. A Co-Citation and Cluster Analysis of Scientometrics of Geographic Information Ontology. ISPRS Int. J. Geo-Inf. 2018, 7, 120.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top