太阳成8722(中国)有限公司-GREEN NO.1

标题：A bibliometric and visual analysis of global geo-ontology research作者：Li, Lin; Liu, Yu; Zhu, Haihong; Ying, Shen; Luo, Qinyao; Luo, Heng;Kuai, Xi; Xia, Hui; Shen, Hang

来源出版物：COMPUTERS & GEOSCIENCES卷：99页码：1-8 DOI：10.1016/j.cageo.2016.10.006 出版年：FEB 2017

摘要：In this paper, the results of a bibliometric and visual analysis of geo-ontology research articles collected from the Web of Science (WOS) database between 1999 and 2014 are presented. The numbers of national institutions and published papers are visualized and a global research heat map is drawn, illustrating an overview of global geo-ontology research. In addition, we present a chord diagram of countries and perform a visual cluster analysis of a knowledge co-citation network of references, disclosing potential academic communities and identifying key points, main research areas, and future research trends. The International Journal of Geographical Information Science, Progress in Human Geography, and Computers & Geosciences are the most active journals. The USA makes the largest contributions to geo-ontology research by virtue of its highest numbers of independent and collaborative papers, and its dominance was also confirmed in the country chord diagram. The majority of institutions are in the USA, Western Europe, and Eastern Asia. Wuhan University, University of Munster, and the Chinese Academy of Sciences are notable geo-ontology institutions. Keywords such as "Semantic Web," "GIS," and "space" have attracted a great deal of attention. "Semantic granularity in ontology-driven geographic information systems, "Ontologies in support of activities in geographical space" and "A translation approach to portable ontology specifications" have the highest cited centrality. Geographical space, computer-human interaction, and ontology cognition are the three main research areas of geo-ontology. The semantic mismatch between the producers and users of ontology data as well as error propagation in interdisciplinary and cross-linguistic data reuse needs to be solved. In addition, the development of geoontology modeling primitives based on OWL (Web Ontology Language) and finding methods to automatically rework data in Semantic Web are needed. Furthermore, the topological relations between geographical entities still require further study.

入藏号：WOS:000392690900001

文献类型：Article

语种：English

作者关键词：Geo-ontology, Bibliometrics, Visualization, Cluster analysis, Semantic Web, GIS

扩展关键词：GEOGRAPHIC INFORMATION INTEGRATION; PRINCIPLES; DESIGN; TRENDS

电子邮件地址：lilin@whu.edu.cn

地址：

[Li, Lin; Liu, Yu; Zhu, Haihong; Ying, Shen; Luo, Qinyao; Luo, Heng; Kuai, Xi; Xia, Hui; Shen, Hang] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Li, Lin; Zhu, Haihong] Wuhan Univ, Collaborat Innovat Ctr Geo Spatial Technol, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Li, Lin] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

研究方向：Computer Science; Geology

ISSN：0098-3004

eISSN: 1873-7803

影响因子：2.474