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.
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.
3. Point-of-Interest (POI) Data Validation Methods: An Urban Case Study L. Yeow et al.
4. Rule-guided human classification of Volunteered Geographic Information A. Ali et al.
5. A Semantic Approach for Quality Assurance and Assessment of Volunteered Geographic Information G. Bordogna
6. A review of volunteered geographic information quality assessment methods H. Senaratne et al.
7. A Contributor-Focused Intrinsic Quality Assessment of OpenStreetMap in Mozambique Using Unsupervised Machine Learning A. Madubedube et al.
8. Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al.
9. Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions S. Maguire & M. Tomko
10. Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi