A presentation from Open Knowledge Foundation Greece, developers and maintainers of the DBpedia Greek, about recent developments and visions of future, presented at SEMANTiCS '16 DBpedia Day session, in Leipzig, Germany.

1. Our work & visions about DBpedia
Karampatakis Sotiris, Charalampos Bratsas

2. The beginning: DBpedia Internationalization
Framework & Greek DBpedia
DBpedia Apps
Showcase
The Greek DBpedia is was the first step
towards Linked Data Internationalization and
the first successful attempt to serve Linked
Data with de-referencable IRI’s that could
formed a guide for LOD publishing in non-
Latin languages.
Wikimedia
DBpedia
Greece
Greek DBpedia
i18n LOD

3. The beginning: DBpedia Internationalization
Framework & Greek DBpedia
Wikimedia
DBpedia
Greece
Greek DBpedia
i18n LOD
i18n extensions:
• RelFinder
• MappingTool
• DBpedia Spotlight
DBpedia Apps
Showcase

4. Greek Wikimedia Community and
Education Programs
Greek DBpedia
i18n LOD
DBpedia Apps
Showcase
We coordinate Wikipedia awareness and
participation events, in a timely manner.
Results for Medical and Mathematics
Schools:
• Involved over 400 students, 9 Online
Ambassadors reviewing the
contributions of the students and
2 Campus Ambassador holding
workshops and offline help.
• Created or improved more than 600
articles. 130 of these articles were of
highest priority for Greek Wikipedia.
Wikimedia
DBpedia
Greece

5. Greek Wikimedia Community and
Education Programs
Greek DBpedia
i18n LOD
DBpedia Apps
Showcase
Thus evolving DBpedia as well!!!
Ever going process:
• engaging multi-disclipinary participants
• Cooperation with MSc Programs in
Aristotle University of Thessaloniki
• Organizing Hackathons and Tutorials
on how to use Open Data in general
• Apps4Thessaloniki
• Apps4Thessaloniki Tourism edition
• Promoting Use of DBpedia specifically
• Editing Infoboxes
• Creating Mappings
Wikimedia
DBpedia
Greece

6. Greek Linked Open Data

7. Using DBpedia’s Knowledge
Graph

8. Using DBpedia’s Knowledge
Graph

9. Using DBpedia’s Knowledge
Graph

10. Using DBpedia’s Knowledge
Graph

11. Using DBpedia’s Knowledge
Graph

12. Using DBpedia’s Knowledge
Graph

13. What’s Next?
• Moving to own server
• Pipelining extraction process
• Schedule Extractions on regular time intervals
• Exploiting our massive network of volunteers and
experts to crowdsource data or ontology errors

14. What’s Next?

15. Thank you!!!