Location-based Knowledge Representation
Location-Based Knowledge Representation is a formal framework within geospatial knowledge modeling that structurally integrates spatial location as a primary semantic dimension to enable context-aware, topologically grounded representation of entities and their interrelationships.
57
Publications
3.8K
Citations
179
Authors
80
Institutions
Publications per year
2017–2026
11
Parents
57
Benjamin Kuipers · Cognitive Science · 1978 · 742 citations
Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich et al. · 2011 · 330 citations
Mining significant semantic locations from GPS data
Xin Cao, Gao Cong, Christian S. Jensen · Proceedings of the VLDB Endowment · 2010 · 326 citations
Computing, Geography, Geoinformatics +14
Yuan Zhong, Nicholas Jing Yuan, Wen Zhong et al. · 2015 · 172 citations
Computing, Data Science, Data Mining +13
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The University of Melbourne
Melbourne, Australia
4 h-index
13 publications
324 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
8 publications
920 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
10 publications
1.5K citations
National University of Singapore
Singapore, Singapore
2 h-index
5 publications
347 citations
Harvard University
Cambridge, United States
2 h-index
3 publications
104 citations
Tianjin University
Tianjin, China
2 h-index
3 publications
417 citations

University of Alberta
Edmonton, Canada
2 h-index
3 publications
306 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
4 publications
246 citations
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3 publications · 66 citations
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2 publications · 69 citations
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2 publications · 85 citations
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2 publications · 167 citations
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2 publications · 59 citations
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