A Crawling Method with No Parameters for Geo-social Data based on Road Maps
Author:
Affiliation:
1. Tokyo Metropolitan University, Tokyo, Japan
2. Okayama University of Science, Okayama, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3366030.3366094
Reference8 articles.
1. Adaptive geospatially focused crawling
2. The emergence of social media for natural disasters management: a big data perspective;Athanasis Nikos;Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci,2018
3. Quality Assessment of the French OpenStreetMap Dataset
4. Mordechai Haklay. 2010. How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Environment and planning B: Planning and design 37 4 (2010) 682--703. Mordechai Haklay. 2010. How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Environment and planning B: Planning and design 37 4 (2010) 682--703.
5. GeoWeb Crawler: An Extensible and Scalable Web Crawling Framework for Discovering Geospatial Web Resources
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