Multidimensional and quantitative interlinking approach for Linked Geospatial Data

Multidimensional and quantitative interlinking approach for Linked Geospatial Data

Linked Data is known as one of the best solutions for multisource and heterogeneous web data integration and discovery in this era of Big Data. However, data interlinking, which is the most valuable contribution of Linked Data, remains incomplete and inaccurate. This study proposes a multidimensiona...

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Bibliographic Details
Main Authors: Yunqiang Zhu, A-Xing Zhu, Jia Song, Jie Yang, Min Feng, Kai Sun, Jingqu Zhang, Zhiwei Hou, Hongwei Zhao
Format: Article
Language:English
Published: Taylor & Francis Group 2017-09-01
Series:International Journal of Digital Earth
Subjects:
geospatial data
linked data
interlinking type
link predicate
data similarity
Online Access:http://dx.doi.org/10.1080/17538947.2016.1266041

Internet

http://dx.doi.org/10.1080/17538947.2016.1266041

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