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EDF2012 - CODE

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European Data Forum
European Data Forum
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June 6, 2012 www.know-center.at Commercially empowered Linked Open Data Ecosystems in Research http://code-research.eu/ Prof. Dr. Stefanie Lindstaedt © Know-Center 2012 gefördert durch das Kompetenzzentrenprogramm
Key Facts STREP, 2.4 M€ Budget, May 2012 - April 2014 Research Partners unstructured information analysis distributed databases semantic technologies visual analytics Company Partners 13 TB of research publications 2 million light-weight ontologies steadily growing user community in the millions 2 successful in web business strategies © Know-Center 2011
The Vision … nani gigantum humeris insidentes [Greek Mythology] Dwarfs standing on the shouldes of giants Research builds on past insights We share knowledge to create new knowledge [Isaac Newton, 1676] 3 © Know-Center 2011
The Reality …. Covered under a pile of paper .. with varying quality .. with contradicting facts .. with missing data Timothy G. Armstrong, Alistair Moffat, William Webber, Justin Zobel: Improvements that don't add up: ad-hoc retrieval results since 1998. CIKM 2009: 601-610 Can we do better? 4 © Know-Center 2011
Yes, we can ... Given textually enCODED scientific knowledge, we can Extract facts from research papers Integrate those facts with existing knowledge Make it available for visual analysis Provide annotated data for bootstrapping a data economy Focus Empirical observations/facts Linked Open Data Computer Science and Biomedical 5 Domain © Know-Center 2011
Challenges Training data for text annotation is missing Algorithmic quality in extraction, disambiguation and querying is low Efficent linked data querying and aggregation is unsolved ... Approach User engagement (via marketplace concept) 80/20 Solutions – just enough for getting users interested 6 © Know-Center 2011
Marketplace Motivation & Independence High Quality research has a (high) monetary turnover Researchers maintain the freedom to market their research or make it open access People can donate, if they find your work interesting  Increased opportunities for researchers 7 © Know-Center 2011
Research Results Crowd-sourcing enabled semantic enrichment & integration techniques  for integrating facts contained in unstructured information into the LOD cloud Federated, provenance-enabled querying methods  for fact discovery in LOD repositories Web-based visual analysis interfaces  to support human-based analysis, integration, and organization of facts Socio-economic factors (roles, revenue models, and value chains) Fair Trade  to motivate researchers to contribute 8 © Know-Center 2011
12th Int. Conference on Knowledge Technologies 8th Int. Conference on Semantic Systems 5 to 7 September 2012 | Messe Congress Graz, Austria Lory Aroyo, VU Amsterdam, NL Social Web & TV Erik Duval, KU Leuven, BE Research 2.0 Infrastructure Chris Welty, IBM Watson, USA OntoClean David Mallon, Bersin & Associates, USA High-Impact Learning Culture 9 © Know-Center 2011

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EDF2012 - CODE

  • 1. June 6, 2012 www.know-center.at Commercially empowered Linked Open Data Ecosystems in Research http://code-research.eu/ Prof. Dr. Stefanie Lindstaedt © Know-Center 2012 gefördert durch das Kompetenzzentrenprogramm
  • 2. Key Facts STREP, 2.4 M€ Budget, May 2012 - April 2014 Research Partners unstructured information analysis distributed databases semantic technologies visual analytics Company Partners 13 TB of research publications 2 million light-weight ontologies steadily growing user community in the millions 2 successful in web business strategies © Know-Center 2011
  • 3. The Vision … nani gigantum humeris insidentes [Greek Mythology] Dwarfs standing on the shouldes of giants Research builds on past insights We share knowledge to create new knowledge [Isaac Newton, 1676] 3 © Know-Center 2011
  • 4. The Reality …. Covered under a pile of paper .. with varying quality .. with contradicting facts .. with missing data Timothy G. Armstrong, Alistair Moffat, William Webber, Justin Zobel: Improvements that don't add up: ad-hoc retrieval results since 1998. CIKM 2009: 601-610 Can we do better? 4 © Know-Center 2011
  • 5. Yes, we can ... Given textually enCODED scientific knowledge, we can Extract facts from research papers Integrate those facts with existing knowledge Make it available for visual analysis Provide annotated data for bootstrapping a data economy Focus Empirical observations/facts Linked Open Data Computer Science and Biomedical 5 Domain © Know-Center 2011
  • 6. Challenges Training data for text annotation is missing Algorithmic quality in extraction, disambiguation and querying is low Efficent linked data querying and aggregation is unsolved ... Approach User engagement (via marketplace concept) 80/20 Solutions – just enough for getting users interested 6 © Know-Center 2011
  • 7. Marketplace Motivation & Independence High Quality research has a (high) monetary turnover Researchers maintain the freedom to market their research or make it open access People can donate, if they find your work interesting  Increased opportunities for researchers 7 © Know-Center 2011
  • 8. Research Results Crowd-sourcing enabled semantic enrichment & integration techniques  for integrating facts contained in unstructured information into the LOD cloud Federated, provenance-enabled querying methods  for fact discovery in LOD repositories Web-based visual analysis interfaces  to support human-based analysis, integration, and organization of facts Socio-economic factors (roles, revenue models, and value chains) Fair Trade  to motivate researchers to contribute 8 © Know-Center 2011
  • 9. 12th Int. Conference on Knowledge Technologies 8th Int. Conference on Semantic Systems 5 to 7 September 2012 | Messe Congress Graz, Austria Lory Aroyo, VU Amsterdam, NL Social Web & TV Erik Duval, KU Leuven, BE Research 2.0 Infrastructure Chris Welty, IBM Watson, USA OntoClean David Mallon, Bersin & Associates, USA High-Impact Learning Culture 9 © Know-Center 2011