LOD2 is a large-scale integrating project co-funded by the European

Commission within the FP7 Information and Communication Technologies

Work Programme. This 4-year project comprises leading Linked Open

Data technology researchers, companies, and service providers. Coming

from across 12 countries the partners are coordinated by the Agile

Knowledge Engineering and Semantic Web Research Group at the

University of Leipzig, Germany.

LOD2 will integrate and syndicate Linked Data with existing large-scale

applications. The project shows the benefits in the scenarios of Media and

Publishing, Corporate Data intranets and eGovernment.

Once per month the LOD2 webinar series offer a free webinar about tools and services along the Linked Open Data Life Cycle. Stay with us and learn more about acquisition, editing, composing, connected applications – and finally publishing Linked Open Data.

The LOD2 Stack release 2.0

1. The LOD2 Stack: What, how, when?

2. Demo: enrichment with geospatial coordinates

3. Year 3 focus: a specialized LOD2 Stack for the Statistical Office

4. Questions

THE LOD2 STACK RELEASE 2.0

The Linked Open Data Life Cycle

Inter-linking/ Fusing

Classifi-cation/

Enrichment

Quality Analysis

Evolution / Repair

Search/ Browsing/

Exploration

Extraction

Storage/ Querying

Manual revision/ authoring

LOD2 stack v1 = Debian repository

LOD2 stack v2 = More components + more inter component integration

2010 Sindice Silk

Virtuoso PoolParty

D2R Sigma.EE Dbpedia

CKAN OntoWiki ORE

2011

2012

LOD2 stack v3 = More inter component integration

2013

LOD2 stack Release 2

Virtuoso RDF Store (conductor,

sparql, isparql, ods)

Virtuoso sponger

lod2webapi

RDFAuthor

Limes

ORE

D2R

Semantic Spatial

Browser

sparqlproxy

SigmaEE

ontowiki

LODgrefine

Silk Silk-latc

stanbol

valiant

Dbpedia Spotlight

sparqlED

PoolParty

Sieve

PoolParty Extractor

LOD2

Stack

DL-Learner

(Year 1)

(Year 2)

LOD2 stack contribution process

Component Debian Package Component Owner

LOD2 Stack testing

LOD2 Stack Stable

Valid?

feedback • Does the Debian package works?

• Does it break flows | UI ?

LOD2 stack maintainer

• The component providers are responsible for the Debian package

– the knowledge and experience with packaging increases

– Improves the overall quality of the individual components

• The LOD2 stack standardizes on Ubuntu 12.04 LTS, Precise edition

– Other Linux distributions are in principle possible

– Our partner I2G, Poland, successfully installed a version on Debian

• Requires 2GB RAM, better at least 4GB

– Many components are tomcat based web-apps

– Footprint can be reduced by only installing the needed applications for your case

• Technical feedback on the stack via support-stack@lod2.eu

LOD2 stack prerequisites & support

• Linked Data has the ability to merge and enrich your data.

• Show that with a few steps this promise comes close to reality.

Demo Scenario

The demo scenario

The demo scenario

1. Upload the courts from vocabulary.wolterskluwer.de

2. Extract data from the German DBpedia

3. Link the datasets

4. Exploit the links to enrich the courts

5. Display the result

PoolParty

The demo scenario

SILK

Semantic Spatial Browser

SPARQLED

Virtuoso

1. Upload the courts from vocabulary.wolterskluwer.de

2. Extract data from the German DBpedia

3. Link the datasets

4. Exploit the links to enrich the courts

5. Display the result

• The consortium’s goal is higher inter component integration

– Smoothen information flow between components

• It is a challenge!

– Integration in a general context does not lead to high end-user satisfaction

• Focus on one domain

– Create supportive end-user process flows for this case

– They will be described and very likely many of them are applicable for other domains.

More inter component integration

2012 2012

Selected because …

• many partners deal with statistical data in their projects – The LOD2 consortium is involved in all key aspects:

• standarization of the schema (DataCube)

• publishing statistical data (e.g. http://eurostat.linked-statistics.org,

http://scoreboard.lod2.eu, http://rs.ckan.net/dataset?q=rdf )

• Tools (e.g. Cubeviz)

• real world statistical data is accessible for experimentation

• it offers excellent potential to combine components from LOD2 stack

• the data integration capabilities of RDF can be exploited

• the Linked Data paradigm is an enabler to go beyond classical statistics

management

The Statistical Office

example scenario

Downloading tabular data

Cleaning tabular

data

Harmonizing tabular data

Transforming into

DataCube

Enrichment of the data

Cleaning RDF

Visualization RDF

Publishing

example scenario

Downloading tabular data

Cleaning tabular

data

Harmonizing tabular data

Transforming into

DataCube

Enrichment of the data

Cleaning RDF

Visualization RDF

Publishing

CubeViz

LOD enabled Open Refine

PoolParty

SILK Limes

ORE Sieve

CKAN

• Our partner IMP collaborates with the Serbian National Statistical Office to

make their information available to the public as Linked Data.

• The next video demonstrates how LOD2 Stack components are used

The Serbian Statistical Office using the LOD2 Stack

• Free Linked Open Data Consultancy for government related organizations – provides your organization with information and coaching around publishing Linked Open Data

• More details & application info at http://lod2.eu/Article/Publink.html

Publink 2013

Jingle R.E.M., Martin Kaltenb ck, Florian Kondert

Coordination Thomas Thurner

Martin Kaltenb ck

Moderation Martin Kaltenb ck

Presented by Bert Van Nuffelen

LOD2 STACK is realized by the effort from many persons in the LOD2 consortium:

Sebastian T, Valentina, Uros, Vuk, Helmut, Hugh, Robert, Mateja, Jan and many more ...

Hope you enjoyed staying with us – if you need more detailed information, visit us at www.lod2.eu and let us know how we can improve to meet your expectations! Don’t forget to register for our next webinar Jan 2013 - Zemanta feb 2013 – CKAN and publicdata.eu (Open Knowledge Foundation) Have a great day and don’t forget ...