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