Using Qualitative Spatial Logic for Validating Crowd-Sourced Geospatial Data

Authors

  • Heshan Du University of Nottingham
  • Hai Nguyen University of Aberdeen
  • Natasha Alechina University of Nottingham
  • Brian Logan University of Nottingham
  • Michael Jackson Nottingham Geospatial Institute
  • John Goodwin Ordnance Survey

DOI:

https://doi.org/10.1609/aaai.v29i2.19052

Abstract

We describe a tool, MatchMaps, that generates sameAs and partOf matches between spatial objects (such as shops, shopping centres, etc.) in crowd-sourced and authoritative geospatial datasets. MatchMaps uses reasoning in qualitative spatial logic, description logic and truth maintenance techniques, to produce a consistent set of matches. We report the results of an initial evaluation of MatchMaps by experts from Ordnance Survey (Great Britain’s National Mapping Authority). In both the case studies considered, MatchMaps was able to correctly match spatial objects (high precision and recall) with minimal human intervention.

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Published

2015-01-25

How to Cite

Du, H., Nguyen, H., Alechina, N., Logan, B., Jackson, M., & Goodwin, J. (2015). Using Qualitative Spatial Logic for Validating Crowd-Sourced Geospatial Data. Proceedings of the AAAI Conference on Artificial Intelligence, 29(2), 3948-3953. https://doi.org/10.1609/aaai.v29i2.19052