Using Qualitative Spatial Logic for Validating Crowd-Sourced Geospatial Data



Du, Heshan, Nguyen, Hai Hoang, Alechina, Natasha, Logan, Brian, Jackson, Michael and Goodwin, John
(2015) Using Qualitative Spatial Logic for Validating Crowd-Sourced Geospatial Data. In: The Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015-01-25 - 2015-01-30, Texas, USA.

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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 reason- ing 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.

Item Type: Conference or Workshop Item (Paper)
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: Symplectic Admin
Date Deposited: 13 Nov 2015 10:58
Last Modified: 09 Jan 2021 08:39
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/2036705