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Joint EuroSDR/AGILE project on Crowd Sourced Mapping Peter Mooney and Jeremy Morley

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Page 1: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Joint EuroSDR/AGILE project on Crowd Sourced Mapping

Peter Mooney and Jeremy Morley

Page 2: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Progress Pathway

September/October 2011

Begin discussions on how Crowdsourcing could be used as some form of Update Intelligence/complementary data stream(s) in National Mapping Agencies

January 2012 - Nottingham UK

Workshop at University of Nottingham - representatives from Industry, Academia, AGILE, Euro-SDR, National Mapping Agencies (10)

Summer 2012Call for applicationsReview of applicationsAward Process

4 projects commenced in late 2012 with 1 project commencing in March 2013

Autumn 2013Projects completedPresentations made to AGILE and EuroSDR annual meetingsA very positive set of outcomes!

Page 3: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Principal Investigators and Titles of the Projects Funded

Dr Ross Purves (CH) "Characterising the use of vernacular placenames from crowd sourced data and a comparison with NMA Data" Sponsor: EuroSDRDr. Giedrė Beconytė (LT) "Collection and visualisation of alternative tourism sites and objects in Lithuania." Sponsor: AGILE (50%); EuroSDR (50%)Dr. Volker Walter (DE) "Conflation@Crowd-sourced Mapping" Sponsor: ESRIDr Michael Brown and Dr. Joaquin Huerta (UK and ES) "Incidental Crowd Sourcing" Sponsor: ESRIMs. J.M. Ramos (NL and CA) "Ontology-based OSM and OS integration" Sponsor: AGILE

Page 4: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Dr Ross Purves (CH) [Dr. Thomas Wider]"Characterising the use of vernacular placenames from crowd sourced data and a comparison with NMA Data"Sponsor: EuroSDR NMA: IGN France

Page 5: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Dr Ross Purves (CH) [Dr. Thomas Wider]"Characterising the use of vernacular placenames from crowd sourced data and a comparison with NMA Data"Sponsor: EuroSDR NMA: IGN France

Some interesting results (soon to be published in a paper)● 180,000 images considered from Flickr, 13,000 contributors, 22,000 unique

tags

● Tag is not an official toponym but still indicates a specific location: e.g. ‘louvre’

● Approximately 35% of the toponyms listed in IGN gazetteer could also be found in the extracted tags

● The tags of Flickr images are a valuable source to gather placenames from user-generated content (UGC).

● There is potential to enrich the official gazetteers with more content from UGC.

Page 6: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Dr. Volker Walter (DE) [Mrs. Zihan Liu]"Conflation@Crowd-sourced Mapping"Sponsor: ESRI NMA: Landesamt fuer Geoinformation und Landentwicklung Baden-Wuerttemberg

Amtliche Topographisch-Kartographische Informationssystem (ATKIS)

With 1Spatial UK

Page 7: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Dr. Volker Walter (DE) [Mrs. Zihan Liu]"Conflation@Crowd-sourced Mapping"Sponsor: ESRI NMA: Landesamt fuer Geoinformation und Landentwicklung Baden-Wuerttemberg

Outcomes:○ Stuttgart and Calw (Baden Wurttemberg)○ Road network in both datasets very similar in rural

areas○ More detail in OSM in urban centers

○ Both software tools (ifp, 1Integrate) could perform the conflation - but there are disadvantages (manual input vrs small areas automatic)

Page 8: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Dr Michael Brown (UK) and Dr. Jaoquin Heurta (ES) [Jesús Castellote]"Incidental Crowd Sourcing"Sponsor: ESRI NMA: Spanish National Geographic Institute (IGN Spain)

Geographical names (vernacular names/ toponyms) have been identified as potential targets as they are difficult to collect on a large scale and easy to collect locally, thus ideal for crowd sourcing - using Gamification Techniques.

Page 9: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Dr Michael Brown (UK) and Dr. Jaoquin Heurta (ES) [Jesús Castellote]"Incidental Crowd Sourcing"Sponsor: ESRI NMA: Spanish National Geographic Institute (IGN Spain)

Users validate names via smartphone or web browser

Share progress via Facebook

Crowdsourced data is collected for presentation to an authorized IGN officer who considers inclusion in the IGN Toponyms database.

Presented as a paper at the AGILE 2013 conference - other papers listed in the final report

Page 10: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Dr. Giedrė Beconytė (LT) "Collection and visualisation of alternative tourism sites and objects in Lithuania." Sponsor: AGILE (50%); EuroSDR (50%) NMA: National Land Service under the Ministry of Agriculture of the Republic of Lithuania (spatial data and ortho imagery)

“Crowdsource the collection of information on diverse objects and sites that are typically not included in official information sources and do not belong to the tourist infrastructure network”.

Paneriai Railway Tunnel

Development of a Wiki-type system to allow users to provide information on sites of cultural or natural importances.

A user-interface is provided which helps guide users to provide a classification of the objects.

Administrators are active to control data input and moderate.

Page 11: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Dr. Giedrė Beconytė (LT) "Collection and visualisation of alternative tourism sites and objects in Lithuania." Sponsor: AGILE (50%); EuroSDR (50%) NMA: National Land Service under the Ministry of Agriculture of the Republic of Lithuania (spatial data and ortho imagery) http://www.nemasinis.lt/

Periodically updates will be pushed to the National Geoportal www.geoportal.lt

Page 12: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Jimena Ramos (ES) and Dr. Rodolphe Devillers (CA)"Ontology-based OSM and OS integration"Sponsor: AGILE NMA: Using openly available NMA data

Semantic Heterogeneity in OpenStreetMap datasets

Example: tag (bus_stop) and (stop_position) - both refer to the same real world phenomenon. Also (highway=platform) and (public_transport = platform)

This can happen with flexible data models such as those used in VGI as users have great freedom in choosing these ‘tags’

AIM: If semantic heterogeneity could be removed from OSM datasets then they would be in a much better condition for integration and interoperability with official authoritative datasets

Page 13: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Jimena Ramos (ES) and Dr. Rodolphe Devillers (CA)"Ontology-based OSM and OS integration"Sponsor: AGILE NMA: Using openly available NMA data

Presented at the AGILE 2013 conference AND workshop

Page 14: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Phase 1: Current Status

All projects have been completed!Some projects are part of other larger projects

Thanks to ESRI, AGILE, and EuroSDR for a really great combined effort!

Final report has been written - distributed to EuroSDR email list (October 2013)

Report will be made publicly openly available

Page 15: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Phase 1: Important Outcomes

Physical Indicators: Workshop, Final Report, Several published papers by the projects with acknowledgements to EuroSDR/AGILE.

Value-added Indicators of Success:● Very successful from NMCA point of view - generated

ideas and concepts which academia researched● Showed the potential of Crowdsourcing/VGI when

NMCA has control/input into the process● Lots of scope to develop these ideas further and build

on this momentum - now is the moment!

Page 16: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Phase 2: Second round of internships

Proposals being made to EuroSDR and AGILE

Funding structure will be similar

Workshop in 2014 (Jan, Feb)

Continued engagement between National Mapping Agencies and Academia is crucial

More details tomorrow!

Page 17: Sourced Mapping project on Crowd Joint EuroSDR/AGILE · VGI as users have great freedom in choosing these ‘tags’ AIM: If semantic heterogeneity could be removed from OSM datasets

Thanks for listening todayStayed tuned via mailing lists, Twitter, etc for

Phase 2 announcements

Email [email protected]

[email protected]