Using qualitative spatial logic for validating crowd-sourced geospatial data

Heshan Du; Hai Nguyen; Natasha Alechina; Brian Logan; Michael Jackson; John Goodwin

Using qualitative spatial logic for validating crowd-sourced geospatial data

Heshan Du, Hai Nguyen, Natasha Alechina, Brian Logan, Michael Jackson, John Goodwin

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

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.

Original language	English
Title of host publication	Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015
Publisher	AI Access Foundation
Pages	3948-3953
Number of pages	6
ISBN (Electronic)	9781577357032
Publication status	Published - 1 Jun 2015
Event	29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015 - Austin, United States Duration: 25 Jan 2015 → 30 Jan 2015

Conference

Conference	29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015
Country/Territory	United States
City	Austin
Period	25/01/15 → 30/01/15

Bibliographical note

Publisher Copyright:
© Copyright 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Cite this

Using qualitative spatial logic for validating crowd-sourced geospatial data. / Du, Heshan; Nguyen, Hai; Alechina, Natasha et al.
Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, 2015. p. 3948-3953.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Du, H, Nguyen, H, Alechina, N, Logan, B, Jackson, M & Goodwin, J 2015, Using qualitative spatial logic for validating crowd-sourced geospatial data. in Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, pp. 3948-3953, 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015, Austin, United States, 25/01/15.

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ER -

Using qualitative spatial logic for validating crowd-sourced geospatial data

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