gefördert durch das Kompetenzzentrenprogramm

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June 6, 2012

Commercially empowered Linked Open Data Ecosystems in Research

http://code-research.eu/

Prof. Dr. Stefanie Lindstaedt

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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

successful in web business strategies

Key Facts

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The Vision … nani gigantum humeris insidentes

[Greek Mythology]

Dwarfs standing on the shouldes of giants

Research builds on past insights

We share knowledgeto create new knowledge

[Isaac Newton, 1676]

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The Reality ….

Covered under a pile of paper

.. with varying quality

.. with contradicting facts

.. with missing data

Can we do better?

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

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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 Domain

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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

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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

Marketplace

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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)

to motivate researchers to contribute

Fair Trade

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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