1. MDPS Workshop-8, 11-15 June 2012 Kai SchlegelSebastian Bayerl

2. Outline  CODE Project  Vision  Project Partners  Our Contribution Commercially empowered Linked Open Data Ecosystems in Research

3. CODE Project - Vision in a Nutshell - Project Partners - Our Contribution Commercially empowered Linked Open Data Ecosystems in Research supported by the European Commission under the Seventh Framework Program (FP7)

4. Nani gigantum humeris insidentes Standing on the shoulders of giants Research builds on the past We pass knowledge, to create new knowledge Lying under a pile of text documents Unconnected data Contradicting facts Missing / hard to find information CODE: Vision in a Nutshell Can we do better? “ ” - Isaac Newton

5. CODE: Vision in a Nutshell (2)  “A reference manager that does your research for you” *  Given textually encoded scientific knowledge  Extract facts  Enrich & combine with existing knowledge  Make it available for further (visual) analysis  Bootstrapping data economy * overstated Vision of the CODE framework

6. Vision: Use Case 2. Querying LoD & disambiguation suggestions 1. User marks an entity 3. Present research results Further example: Gather structures of research papers (e.g. Images, Tables)

7. But … how ?!? Challenges Algorithmic quality in extraction Entity disambiguation Efficient Linked Open Data Querying and Aggregation Data Warehousing Approaches User Engagement (Marketplace) Motivation High Quality research  Monetary turnover Start simple Focus on concrete use-cases CODE: Challenges

8. Project Partners Commercially empowered Linked Open Data Ecosystems in Research Project duration: 1 May 2012 – 30 April 2014 1.700.000 users 1.300.000 users Semantic crowdsourcing power !!!

9. CODE: Architectural Overview Our contribution

10. CODE: Projected Goals Triplify, Federate, Aggregate, Share

11. CODE: Prototype Use Case „CLEF data“  Conference and Labs of Evaluation Forum  Goal: Compare existing systems  PAN: Plagiarism Detection Labs editions  Task: Plagiarism detection  Homogeneous data over years  Numeric facts(score, precision, recall,…) Small steps…

12. CODE: Research Objectives ToDo List until 2014  Middleware based retrieval architecture  Repository discovery  Efficient federation of SPARQL  Aggregation and Data Warehousing  LoD Caching  Provenance

13. Thank you! Any questions? Commercially empowered Linked Open Data Ecosystems in Research It is better to take many small steps in the right direction than to make a great leap forward only to stumble backward. “ ” - Old Chinese quote