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Sebastian Bayerl. Kai Schlegel. MDPS Workshop-8, 11-15 June 2012. Commercially empowered Linked Open Data Ecosystems in Research. Outline. CODE Project Vision Project Partners Our Contribution. Commercially empowered Linked Open Data Ecosystems in Research. CODE Project. - PowerPoint PPT Presentation
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MDPS Workshop-8,11-15 June 2012
Kai SchlegelSebastian Bayerl
Outline CODE Project
Vision Project Partners Our Contribution
Commercially empowered Linked Open Data Ecosystems in Research
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)
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
CODE:Vision in a Nutshell (2)
Yes, we can … “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
* overstatedVision of the CODE framework
Vision: Use Case
2. Querying LoD & disambiguation suggestions 1. User marks an entity3. Present research resultsFurther example:
Gather structures of research papers (e.g. Images, Tables)
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
Click icon to add picture
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 !!!
CODE:Architectural Overview
Our contribution
CODE:Projected Goals
Triplify, Federate, Aggregate, Share
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…
CODE:Research Objectives
ToDo List until 2014 Middleware based retrieval architecture Repository discovery Efficient federation of SPARQL Aggregation and Data Warehousing LoD Caching Provenance
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