Using qualitative spatial logic for validating crowd-sourced geospatial data
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, t...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2015
|
| Online Access: | https://eprints.nottingham.ac.uk/30166/ |
| _version_ | 1848793934443053056 |
|---|---|
| author | Du, Heshan Nguyen, Hai Hoang Alechina, Natasha Logan, Brian Jackson, Mike Goodwin, John |
| author_facet | Du, Heshan Nguyen, Hai Hoang Alechina, Natasha Logan, Brian Jackson, Mike Goodwin, John |
| author_sort | Du, Heshan |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:08:11Z |
| format | Conference or Workshop Item |
| id | nottingham-30166 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:08:11Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-301662020-05-04T17:00:16Z https://eprints.nottingham.ac.uk/30166/ Using qualitative spatial logic for validating crowd-sourced geospatial data Du, Heshan Nguyen, Hai Hoang Alechina, Natasha Logan, Brian Jackson, Mike Goodwin, John 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. 2015-01-25 Conference or Workshop Item PeerReviewed Du, Heshan, Nguyen, Hai Hoang, Alechina, Natasha, Logan, Brian, Jackson, Mike and Goodwin, John (2015) Using qualitative spatial logic for validating crowd-sourced geospatial data. In: Innovative Applications of Artificial Intelligence (IAAI-15), 25-29 Jan 2015, Austin, Texas, USA. http://www.aaai.org/ocs/index.php/IAAI/IAAI15/paper/view/9687 |
| spellingShingle | Du, Heshan Nguyen, Hai Hoang Alechina, Natasha Logan, Brian Jackson, Mike Goodwin, John Using qualitative spatial logic for validating crowd-sourced geospatial data |
| title | Using qualitative spatial logic for validating crowd-sourced geospatial data |
| title_full | Using qualitative spatial logic for validating crowd-sourced geospatial data |
| title_fullStr | Using qualitative spatial logic for validating crowd-sourced geospatial data |
| title_full_unstemmed | Using qualitative spatial logic for validating crowd-sourced geospatial data |
| title_short | Using qualitative spatial logic for validating crowd-sourced geospatial data |
| title_sort | using qualitative spatial logic for validating crowd-sourced geospatial data |
| url | https://eprints.nottingham.ac.uk/30166/ https://eprints.nottingham.ac.uk/30166/ |