The document discusses the development of DBpedia, detailing its origins, milestones, and the collaborative efforts that led to its evolution. It highlights the extraction of structured data from Wikipedia, the growth in entities and triples over the years, and the need for DBpedia to adapt and integrate with enterprise knowledge. Additionally, it mentions ongoing projects and acknowledges contributors to the presentation.

1. past, present & future

2. 2007
2007
2014
???

3. Get me all soccer players, who played as goalkeeper for a
club that has a stadium with more than 40.000 seats and
who are born in a country with more than 10 million
inhabitants

4. Structure in Wikipedia
bnjmbn
...

5. Infoboxes
???

6. How it all started
- 2006 - Sören Auer (busy with his PhD) asking people: “Wikipedia
fact tables look like triples, don’t you want to write some
extractor?”
- 6 months later: Sören wrote the extractor himself and asked Jens
Lehmann to help with writing a paper
- Chris Bizer : “We are extracting people and place information from
Wikipedia too – lets join efforts and call it DBpedia.”
- Kingsley Idehen: “I need a showcase for my Virtuoso triple store.”

7. Infobox Extraction
Wikitext
RDF

8. Taking a closer look
at heterogeneity…
- DBpedia Mappings wiki

9. Milestones
- 2008: DBpedia Live
- 2009: Scala-Based framework
- 2009: Mappings wiki
- 2011: Internationalization
- 2011: DBpedia Spotlight
- 2014: DBpedia Association

10. Now
DBpedia 2014 (English):
4.58 mio. entities and 583 mio. triples
131,2 mio. fact assertions (derived from infoboxes)
168,5 mio. triples representing Wikipedia structure
57,1 mio. links to external datasets
Localized DBpedia version for 125 languages, built from
corresponding Wikipedia versions
12 DBpedia language chapters

11. Now
X

13. DBpedia has to evolve
- Fusion
- Validation
- NLP
- Enterprize

14. Fusion

15. Validation

16. NLP
- Exploit the text…
- Let different NLP tools & approaches
compete for the best quality (in a certain
language)
- Need to define the interface (help needed)

17. Every Enterprise needs its DBpedia
- Represent common sense knowledge (DBpedia and
other LOD datasets) as well as the specific enterprise
knowledge
- Crystallization points for Linked Data intranets – an
addition to SOA facilitating enterprise-wide data linking
& integration
- Slicing & Dicing

18. Other ideas?

19. EU Projects
http://aligned-project.eu
http://smartdataweb.de/
http://www.freme-project.eu/
http://stack.lod2.eu/
http://geoknow.eu/

20. The soccer players (for the curious)

21. Thank you
Big thanks to Sören Auer &
Markus Ackermann for slide contributions

22. Big thanks to Sören Auer & Markus
Ackermann for slide contributions