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DBpedia: A Nucleus
for a Web of Open Data
Sören Auer, Christian Bizer, Georgi Kobilarov,
Jens Lehmann, Richard Cyganiak, Zachary Ives
September 2017
to the DBpedia Community !
Lots of Thanks
DBpedia in 2007
● December 2006: ESWC - Wikipedia Infobox extraction
● February 2007: First DBpedia Resease
○ 1.9 million things, 25 million triples
● April 2007: DBpedia talk at WWW 2007 Banff
● November 2007: DBpedia paper at ISWC 2007 Busan
● Interlinking started: 440 000 RDF links
● Early Applications: Querying and Exploration
DBpedia in 2010
● Mappings Wiki
○ Infobox mappings for 49 languages
○ Contributions by 300 editors
● Internationalization
○ Over 20 language chapters worldwide
● DBpedia Spotlight
○ Outreach to NLP community
● DBpedia Release 3.5
○ 3.4 million things, 1 billion triples
DBpedia in 2017
● Community Meetings Worldwide
○ California, Amsterdam, Galway, Poznan
The Hague, Dublin, Leipzig
○ 50 -150 participants
● Non-profit DBpedia Association to
○ Moderate DBpedia community
○ Contribute to core technologies and data
○ Improve interaction with users and industry
● Bi-annual DBpedia Releases
○ 6.6 million things, 14 billion triples
○ 7 million API hits per day
○ 50k downloads per month
Impact of the Idea behind DBpedia
Extract structured data from Wikipedia.
Impact of the Pattern behind DBpedia
● Effort Distribution
○ Content creation: Wikipedia editors community
○ Extraction and cleansing: DBpedia community
○ Users “only” need to employ the knowledge for their specific tasks
● Pattern proved successful for
○ DBpedia (public knowledge graph)
○ Google Knowledge Graph, Bing Knowledge Graph (private knowledge graphs)
○ Semantic Web as a whole?
Shield users from data extraction and
cleansing effort.
Future: A Knowledge Graph for Research?
● Can we learn from DBpedia for our own work?
● Scholarly communication has not changed much in the last 500 years (now
PDFs instead of real papers)
● As we now use knowledge graphs to represent encyclopaedic knowledge
we might want to try them for representing and exchanging scientific
knowledge
● Challenges are ambiguity, evolution, discourse
● A number of approaches in this direction exist, but more work needs to be
done
Special Thanks
DBpedia Association MembersResearch Projects

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DBpedia - 10 year ISWC SWSA best paper award presentation

  • 1. DBpedia: A Nucleus for a Web of Open Data Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, Zachary Ives September 2017
  • 2. to the DBpedia Community ! Lots of Thanks
  • 3. DBpedia in 2007 ● December 2006: ESWC - Wikipedia Infobox extraction ● February 2007: First DBpedia Resease ○ 1.9 million things, 25 million triples ● April 2007: DBpedia talk at WWW 2007 Banff ● November 2007: DBpedia paper at ISWC 2007 Busan ● Interlinking started: 440 000 RDF links ● Early Applications: Querying and Exploration
  • 4. DBpedia in 2010 ● Mappings Wiki ○ Infobox mappings for 49 languages ○ Contributions by 300 editors ● Internationalization ○ Over 20 language chapters worldwide ● DBpedia Spotlight ○ Outreach to NLP community ● DBpedia Release 3.5 ○ 3.4 million things, 1 billion triples
  • 5. DBpedia in 2017 ● Community Meetings Worldwide ○ California, Amsterdam, Galway, Poznan The Hague, Dublin, Leipzig ○ 50 -150 participants ● Non-profit DBpedia Association to ○ Moderate DBpedia community ○ Contribute to core technologies and data ○ Improve interaction with users and industry ● Bi-annual DBpedia Releases ○ 6.6 million things, 14 billion triples ○ 7 million API hits per day ○ 50k downloads per month
  • 6. Impact of the Idea behind DBpedia Extract structured data from Wikipedia.
  • 7. Impact of the Pattern behind DBpedia ● Effort Distribution ○ Content creation: Wikipedia editors community ○ Extraction and cleansing: DBpedia community ○ Users “only” need to employ the knowledge for their specific tasks ● Pattern proved successful for ○ DBpedia (public knowledge graph) ○ Google Knowledge Graph, Bing Knowledge Graph (private knowledge graphs) ○ Semantic Web as a whole? Shield users from data extraction and cleansing effort.
  • 8. Future: A Knowledge Graph for Research? ● Can we learn from DBpedia for our own work? ● Scholarly communication has not changed much in the last 500 years (now PDFs instead of real papers) ● As we now use knowledge graphs to represent encyclopaedic knowledge we might want to try them for representing and exchanging scientific knowledge ● Challenges are ambiguity, evolution, discourse ● A number of approaches in this direction exist, but more work needs to be done
  • 9. Special Thanks DBpedia Association MembersResearch Projects