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Using qualitative spatial logic for validating crowd-sourced geospatial data

Du, Heshan; Nguyen, Hai Hoang; Alechina, Natasha; Logan, Brian; Jackson, Mike; Goodwin, John

Authors

Heshan Du hxd@cs.nott.ac.uk

Hai Hoang Nguyen hai.nguyen@abdn.ac.uk

Natasha Alechina nza@cs.nott.ac.uk

Brian Logan bsl@cs.nott.ac.uk

Mike Jackson

John Goodwin John.Goodwin@ordnancesurvey.co.uk



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 eval- uation 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.

Publication Date Jan 25, 2015
Peer Reviewed Peer Reviewed
APA6 Citation Du, H., Nguyen, H. H., Alechina, N., Logan, B., Jackson, M., & Goodwin, J. (2015). Using qualitative spatial logic for validating crowd-sourced geospatial data
Publisher URL http://www.aaai.org/ocs/index.php/IAAI/IAAI15/paper/view/9687
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information Published in: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence and the Twenty-Seventh Innovative Applications of Artificial Intelligence Conference: 25-30 January 2015, Austin, Texas, USA. Palo Alto, Calif. : AAAI Press, 2015, ISBN: 9781577356981, pp. 3948-3953

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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