LinDA Workshop echallenges2014 - LinDA project overview by Sotiris Koussouris

1. LinDA-project.eu
Enabling Linked Data and Analytics for SMEs by
renovating public sector information
Dr. Sotiris Koussouris
DSSLab – NTUA
skous@me.com

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LinDA at a glance
Grant Agreeement 610565
Start 1/12/2013
Duration 24 months
Objective ICT-2013.4.3 - SME Initiative on Analytics
Cost 1,931,624.00€
Coordinator National Technical University of Athens
More info: http://www.linda-project.eu
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Partners
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Motivation
Public organizations are making available more and more
valuable data
Existing public data, however, is in most cases published in an
unstructured format not suitable for direct machine processing
In addition, the use of standards such as RDF allowing true
semantic enrichment of dataset is not widespread
Therefore, effort and costs for accessing, linking and exploiting
these data is unaffordable for SMEs
LinDA aims to fill this gap by providing an unifying set of tools to
seamlessly renovating PSI and linking to SMEs own data
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LinDA Vision
Enabling SMEs to exploit the potential of the wealth of
available PSI through easy transformation and renovation
tools
Facilitating integration of SMEs own data with PSI and their
delivery through novel visualization perspectives
Creating new value with innovative applications and
business models
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To become the leading provider of linked
data solutions for SMEs

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LinDA Objectives
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• Enhance the ability of data providers to provide re-usable, machine-
processable linked data.
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• Provide out-of-the-box software components and analytic tools for SMEs
for combining and linking public sector information with privately-
owned data
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• Create an ecosystem of Linked Data Publication and Consumption Apps
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• Demonstrate the feasibility and impact of the LinDA approach in the EU
SMEs Sector through the LinDA pilots
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• Achieve international recognition and spread excellence, diffuse and
communicate results and contribute to standardisation and education.
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LinDA Outcomes
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Transformation Engine
for renovating and
converting a wide range
of supported data into
arbitrary RDF graphs
A Repository for
accessing and sharing
Linked-Data
vocabularies and
metadata
A Linked Data API deployed
as a proxy to provide access
in other widely established
formats, based on the internal
RDF data
A library ofVisualization
Tools for different data
modalities consuming output
from the Linked Data API and
generic web APIs
A library of End-user
Analytics and Data Mining
Apps extended to use RDF as
source format
An ecosystem of Linked Data
Publication and
Consumption Apps
OpenDataRenovation
OpenDataConsumption

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• Transformation Engine for renovating and converting a wide range
of supported data containers, structures and formats into arbitrary
RDF graphs
• A repository for accessing and sharing Linked-Data vocabularies
and metadata
Open Data Renovation
Open Data Consumption
• A Linked Data API will be deployed as a proxy to provide access in other
widely established formats, such as CSV, JSON and XML, based on the internal
RDF data (RDF2Any)
• A library of visualization tools for different data modalities (e.g. spatial,
temporal and statistic) based on HTML, CSS and JavaScript that can consume
output from the Linked Data API and generic web APIs.
• A library of end-user Analytics and data mining apps extended to use
RDF as source format.
• An ecosystem of Linked Data publication and consumption apps.
OutComes
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LinDA
Transformation
EngineMapping
Rules
Various File
Formats
Relational
Databases
Public
Sector
Open
Data
Transformation
Visual Tool
RDF
Linked
Data
LINDA
Analytics / Data
Mining
Private
Data
Sources LINDA Linked
Data Vocabularies
and Metadata
LINDA
visualization
and explorationAnalytics
Apps Library
Visualization
Apps Library
Private Groups
LOD cloud
SMEs
Open Data Renovation
Open Data Consumption
LINDA Publication and Consumption Apps
Ecosystem
High Level Architecture
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LinDA Contribution to RDF converters
A unified solution for the conversion to RDF regardless of the
original data format
Utilizing and extending the services of current RDF converters.
LinDA will provide a visual environment for declaring mapping
rules.
Re-using existing ontologies, provided by LinDA Linked Data
Vocabularies and Metadata cloud Repository
Transformation Engine
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Contribution to Data analysis and graph visualisations
Targeted for end-users in a business environment
Re-use current mature data analysis components with no
native support to RDF graphs
LinDA will realise an ecosystem of data extractions and
visualisations
Enable users to explore datasets even if the publisher of the
data does not provide any exploration or visualisation means.
LinDA Visualization and Exploration Ecosystem
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Contribution to Data Analytics and Business Intelligence
Discovery of meaningful new patterns that were unattainable
in the previous isolated data structures
Specifically target SMEs that usually do not afford built-in
data warehouses
Easily setup business intelligence systems internally through
the use of Linked Data and gain significant competitive
advantage
LinDA Analytics and Data Mining
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Transformation Engine
LinDA Linked Data Vocabularies
Repository
LINDA Analytics / Data Mining
LINDA visualization and exploration
• LinDA toolset and services
to be published together
in the LinDA website
• Complete workflow
example using all tools
• Demo / Tutorials
• Pilot applications as
demonstrators
LinDA tools Pilot users
During Pilots Domain-specific
applications will be created
(specific setup of interesting
visualizations, analyses)
Unified View of the Tools
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LinDA Impact
Create new opportunities for
SMEs to exploit PSI
Motivate SMEs & Public Data
providers to follow the Linked
Data paradigm for the
publication of open data
therefore realizing the full
potential of linking, analyzing
and mashing-up data
Stimulating new, innovative
business models
Wider creation of valuable
applications by integrating
available public data with the
users' own data, including
contextual information
available from mobile devices
Dozens of data application
software components, used by
hundreds of developers
Hundreds of applications,
reusing billions of open data
records, used by millions of
end users around the EU
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LinDA Scenarios
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Business Intelligence
Create Customised Reports
Business Intelligence
Create Customised Reports
Environmental Sector: Analysis
of environmental data
Environmental Sector: Analysis
of environmental data
Media Industry
Data driven journalism
Media Industry
Data driven journalism

16. info @
LinDA-project.eu
@LinDA_FP7
+
LiNDA-project.eu
LinDAFP7
Thank you! Questions? Dr. Sotiris Koussouris
DSSLab – NTUA
skous@me.com
30/10/14 eChallenges e2014 - Belfast, UK