IMPROVING VOLUNTEERED GEOGRAPHIC DATA QUALITY USING SEMANTIC SIMILARITY MEASUREMENTS

10 citations as recorded by crossref.

1. Guided Classification System for Conceptual Overlapping Classes in OpenStreetMap A. Ali et al. 10.3390/ijgi5060087
2. Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy) M. Mazzoleni et al. 10.5194/hess-22-391-2018
3. Point-of-Interest (POI) Data Validation Methods: An Urban Case Study L. Yeow et al. 10.3390/ijgi10110735
4. Rule-guided human classification of Volunteered Geographic Information A. Ali et al. 10.1016/j.isprsjprs.2016.06.003
5. A Semantic Approach for Quality Assurance and Assessment of Volunteered Geographic Information G. Bordogna 10.3390/info12120492
6. A review of volunteered geographic information quality assessment methods H. Senaratne et al. 10.1080/13658816.2016.1189556
7. A Contributor-Focused Intrinsic Quality Assessment of OpenStreetMap in Mozambique Using Unsupervised Machine Learning A. Madubedube et al. 10.3390/ijgi10030156
8. Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al. 10.5194/hess-21-839-2017
9. Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions S. Maguire & M. Tomko 10.1080/13658816.2017.1287370
10. Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi 10.1080/10095020.2019.1626135