LOD2 Webinar Series: CubeViz

LOD2 Webinar . 28.05.2013 . Page 1 http://lod2.eu
Creating Knowledge out of Interlinked
Data

Data
http://lod2.eu
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.

Data
http://lod2.eu
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.

Data
Project Page: http://aksw.org/Projects/CubeViz
Source Code: https://github.com/AKSW/cubeviz.ontowiki
Demo Page: http://odp.cubeviz.aksw.org/

Data
• Member of Agile Knowledge Engineering and Semantic Web research group
(AKSW) since 2006
• PhD Student at the Uni Leipzig since 2008
• Research Interests:
– Linked (Open and Government) Data
– Semantic Web Application Engineering
About me
Michael Martin

Data
• Founded in 2006
• 25+ Researchers
• 3 Sub groups
• Goals
– Contributing to the advancement of science in Semantic Web, Knowledge Engineering,
Software Engineering
– Cost efficient, high-impact R&D, which proves usefulness at an early stage
– Bridge the gap between research results and applications
• Committed to Open Source, Open Access, and Open Knowledge movements
Agile Knowledge Engineering and Semantic Web Research Group

Data
EU Funded Projects:
– Linked Open Data 2 (LOD2)
– GeoKnow
– BIG
– BioASQ
– LinkingLOD
– Open Data Portal (ODP)
• Past EU funded Projects
– LOD Around the Clock (LATC)
– Semantic Content Management Systems for Enterprise Knowledge
Management and News Mining (SCMS)
– OntoWiki - Semantic Collaboration for Knowledge Management, E-
Learning and E-Tourism
– ...
Agile Knowledge Engineering and Semantic Web Research Group
Further descriptions about
projects can be found here:
http://aksw.org/Projects

Data
• Introduction and Motivation
• DataCube RDF Representation
• CubeViz Architecture and Workflows
– Faceted Selection of Observations
– Visualization of selections with suitable charts
– Meta Data Publication
• Demonstration
• Current Development & Future Steps
• Outro
Webinar - CubeViz Structure

Data
Introduction and Motivation
• In 2011 development of the Digital Agenda Scoreboard of the EC
• Indicators from different sources
• Contain observations from 2001 until 2012
• About European countries
http://scoreboard.lod2.eu/

Data
• Open Data Portal of the European Commission contain 5700 dataset dealing
with statistical data (Eurostats) – 97%
• Necessity for data discovery imaginable
• Linked Data and RDF offering standardized data representation abilities and
data gathering techniques
• Vocabularies:
– RDF/RDFS/OWL
– Dublin Core
– RDF DataCube

Data
• CubeViz is part of the LOD2 Stack
• Act in LOD2 Lifecycle for statistical data
– Search / Browsing / Exploration
• Will be extended to act between
– Quality Analysis and
– Extraction

Data
DataCube RDF Representation

Compatible with cube model that underlies ISO standard SDMX (Statistical
Data and Metadata eXchange)

Made to publish
multi-dimensional data

Observation centered
(star schema)

Slice and Dice

Drill down
http://www.w3.org/TR/vocab-data-cube/

Data
DataCube RDF Representation
Example
ID Country Year Indicator Value
1 DE 2009 % of internet users using online banking 0.5299
<http://data.lod2.eu/scoreboard/items/i_iubk/IND_TOTAL/_ind_iu3/Germany/2011/ind>
a qb:Observation ;
das:country <http://data.lod2.eu/scoreboard/country/Germany> ;
das:unit "%_ind_iu3" ;
das:value "0.5568" ;
das:year <http://data.lod2.eu/scoreboard/year/2011> ;
qb:dataSet <http://data.lod2.eu/scoreboard/ds/indicator/i_iubk_IND_TOTAL__ind_iu3> ;
rdfs:label "Online banking (% internet users) for Germany in 2011" .

Data
CubeViz Architecture
• Based on OntoWiki
– http://aksw.org/Projects/OntoWiki.html
• Using SPARQL 1.0 to query data
– Structure
– Observations
– Labels
• GUI is made with
PHP/HTML+JS/
TypeScript/
Highcharts
(http://highcharts.com/)

Data
GUI Overview

Data
Faceted Selection of Data
●
Selection of an RDF Graph
●
Selection of a Dataset
●
Selection of a Measurement
●
Selection of an Attribute
●
Selection of Dimensions and Elements

Data
Visualization of selection with suitable charts
• Analyzing the respective selection
– 1-dimensional: Bar Chart, Line Chart, Pie Chart
– 2-dimensional: Bar Chart, Line Chart, Pie Chart, Windrose / Polar
• Slice and Dice (Materialized / OTF)
• Implemented ChartLibrary: Highcharts
– Highly adaptable and extensible (Chart configuration)
• Offered UI configurations: Type/SubType, Scale, Invert Axes, Switching
Dimensions, DataLabels

Data
Metadata publication
• Usage of Metadata during faceted selection
• Publication of Graph information
• Publication of selected data (legend)

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Demonstration
http://odp.cubeviz.aksw.org

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Current development and future steps
• Current version of CubeViz is V.07
– Faceted search
– Visualization of suitable charts with Highcharts
– Extended coloring algorithm (http://cold.aksw.org/)
– Adaptable and extensible chart configuration
– Slice and dice
– Metadata output
• Currently working on v.08 and v.09 is scheduled

Data
• Analyzing RDF Data Cubes to support Data Cube Maintainer
• Implemented Dashboard to check 21 W3C integrity constraints

Data
• Upcoming features:
– CubeViz will become a filter machine – Exporting Selected resources in
CSV / XML / TTL / N3 / RDF-XML, SQL
– Applying basic rules and formulas to dimensions to improve comparability
– Additional Chart library integration to offer further chart types such as tree
maps
– Offer further chart types to visualize more than 2 dimensions
– Selection of remote RDF graphs
– Mashups (Data / Visualization) of decentralized RDF Data Cubes

Data
Q & A
Thank you for your attention!

Data
• Project Page
– http://aksw.org/Projects/CubeViz
• Source Code
– https://github.com/AKSW/cubeviz.ontowiki
• AKSW Research Group
– http://aksw.org
• Presenter
– http://bis.informatik.uni-leipzig.de/MichaelMartin
• Contact
– martin@informatik.uni-leipzig.de
Contact

Data
Credits
Jingle R.E.M., Martin Kaltenböck
Coordination Thomas Thurner, Martin Kaltenböck
Moderation Martin Kaltenböck
Presented by Michael Martin

Data
http://lod2.eu
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
Have a great day and don’t forget ...

Data
http://lod2.eu

LOD2 Webinar Series: CubeViz

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