Conference WWW 2016 Companion; Semantic; Folksonomy; Geographic Information; Coverage; Tag; VGI;

1. Centre Universitaire d’Informatique
Institute of Information Service Science
A Simple Tags Categoriza2on
Framework Using Spa2al Coverage
to Discover Geospa2al Seman2cs
Tardy, C., Moccozet, M., Falquet, G.
Workshop OD4LS - WWW2016 Companion
April 2016 Montréal, Canada

2. Filling the gaps
Tardy et al., University of Geneva 2

3. Filling the gaps
• Maps missing geographic features characteris@cs
• VGI sources with tags
• geographic and spa@al axis
• Non sta@s@cal approach
• Must work on places with small amount of data
Tardy et al., University of Geneva 3

4. Model
• Using tagged photos as source
• Mul@-facets model
• Algorithm by elimina@on
• Based on spa@al coverage
Tardy et al., University of Geneva 4

5. Spa@al Coverage
• A combina@on of seman2c and geographic
no@ons that describes precisely the spa2o-
temporal region shown in the picture.
• dis@nc@on between
– the geographic and spa@al content of a resource
– and its actual spa@al coverage.
Tardy et al., University of Geneva 5

6. Categories
Geographic
Features
Geographic
Class
Event
Temporal
Weather
Actor
Meta
Color
Tardy et al., University of Geneva 6

7. Algorithm
Geo
iden@fica@on
Tag in coverage
Yes No
Tag in category
No
Yes
Select
No
Select
Yes
Tardy et al., University of Geneva 7

8. Geo Iden@fica@on
Local Area &
Hierarchy mapping
Un@l match
Query GeoNames for each hierarchy
Neighbourhood
County
Region
Country
World
If match :
• Save geonames en@ty in database
• Associate with tag
• Save hierarchy level
Tardy et al., University of Geneva 8

9. Geo Iden@fica@on & coverage Example
https://flic.kr/p/m9ZBPB
In coverage :
à Théâtre Pitoëff
Tardy et al., University of Geneva 9

10. NonGeo Tag Iden@fica@on
1. Tag language detec@on using Wik@onary / WordNet
2. Tag disambigua@on:
1. Tags of same photo as set
2. Babelfy and BabelNet iden@fica@on grouped by language
3. If needed disambigua@on Geo – nonGeo comparing both
weights
Tardy et al., University of Geneva 10

11. NonGeo Tag Categorisa@on
• Using BabelNet categories extracted from
Wikipedia
• or by Hand
• Associate each tag to a category
Event
Temporal Weather
Actor
Meta
Color
Tardy et al., University of Geneva 11

12. Tag Categorisa@on Example
Actor
Event
Temporal
Color
Meta
The rest of the tags are :
• Ambiance
• Nightlife
• Music / Musique
• Concert / Gigs
• Shows
• Fes@val
Tardy et al., University of Geneva 12

13. Geo feature target
• Flickr photo loca@on info :
<loca2on la2tude="46.193959"
longitude="6.143385” accuracy="16" context="0"
place_id="EDcBbVFWWrj07WE” woeid="782861">
• OpenStreetMap
Tardy et al., University of Geneva 13

14. Missing / Wrong Characteris@cs
Tardy et al., University of Geneva 14

15. Finding characteris@cs
Tardy et al., University of Geneva 15
The rest of the tags are :
• Ambiance
• Nightlife
• Music / Musique
• Concert / Gigs
• Shows
• Fes@val
In coverage :
à Théâtre Pitoëff

16. Conclusion
• Works on geographic zones with low density of
resources
• Can be used as a pre-treatment to sta@s@cal
approach
• Enhancement of spa@al descrip@ons in geo-
services (Citygml, OpenStreetMap)
• Precise queries in search engines
Tardy et al., University of Geneva 16