mdps workshop-8, 11-15 june 2012 kai schlegelsebastian bayerl

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

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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