A holistic approach to aligning geospatial data with multidimensional similarity measuring-Reference-Cited by-同舟云学术

A holistic approach to aligning geospatial data with multidimensional similarity measuring

Published:2017-08-02 Issue:8 Volume:11 Page:845-862
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Yu Li¹²,Qiu Peiyuan¹,Liu Xiliang¹³,Lu Feng¹³⁴,Wan Bo⁵

Affiliation:

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People's Republic of China

2. National Science Library, Chinese Academy of Sciences, Beijing, People's Republic of China

3. Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou, People's Republic of China

4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, People's Republic of China

5. Faculty of Information Engineering, China University of Geosciences, Wuhan, People's Republic of China

Funder

Chinese Academy of Sciences Key Project

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2017.1359688

Reference55 articles.

1. LinkedGeoData: Adding a Spatial Dimension to the Web of Data

2. Geographic knowledge extraction and semantic similarity in OpenStreetMap

3. Grounding Linked Open Data in WordNet: The Case of the OSM Semantic Network

4. Linking geographic vocabularies through WordNet

5. A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs

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