Conflation of Geospatial POI Data and Ground-level Imagery via Link Prediction on Joint Semantic Graph-Reference-Cited by-同舟云学术

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Conflation of Geospatial POI Data and Ground-level Imagery via Link Prediction on Joint Semantic Graph

Published:2021-11-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
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Author:

Gurav Rutuja¹,De Debraj²,Thakur Gautam²,Fan Junchuan²

Affiliation:

1. vGSRI Intern, Oak Ridge National Laboratory (ORNL), Oak Ridge, Tennessee, USA and University of California Riverside, Riverside, California, USA

2. Geospatial Science and Human Security Division, Oak Ridge National Laboratory (ORNL), Oak Ridge, Tennessee, USA

Funder

UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3486635.3491068

Reference18 articles.

1. Modified 2010. Terminology-POI WG Terminology Glossary. https://www.w3.org/2010/POI/wiki/Terminology. Modified 2010. Terminology-POI WG Terminology Glossary. https://www.w3.org/2010/POI/wiki/Terminology.

2. POI Mining for Land Use Classification: A Case Study

3. Deep Residual Learning for Image Recognition

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generating Semantic Definitions and Visualization of POI Data;Turkish Journal of Remote Sensing and GIS;2023-05-26

2. Drug and Substance Abuse Point of Interest (POI) Conflation and Spatial Attribute Enrichment Framework (Preprint);2022-10-09

3. GeoAI at ACM SIGSPATIAL;SIGSPATIAL Special;2021-11

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