Enabling Linked Data and Analytics for SMEs by renovating public sector information

1. LinDA-project.eu
Enabling Linked Data and Analytics for SMEs by
renovating public sector information
Salvatore Virtuoso - PIKSEL

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LinDA Vision
2/10/2014Slideshare
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The LinDA Consortium aims at contributing to realize the
potential of linked data becoming a leading provider of
solutions that
Facilitate the publication of public sector data and their
conversion into linked data
Enable SMEs to affordably access and exploit the available
PSI through easy transformation and renovation tools
Facilitate 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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LinDA rationale
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
2/10/2014SlideShare
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LinDA Objectives
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• Enhance the ability of data providers to provide re-usable, machine-
processable linked data.
22
• Provide out-of-the-box software components and analytic tools for
SMEs for combining and linking public sector information with
privately-owned data
33
• Create an ecosystem of Linked Data Publication and Consumption
Apps
44
• Demonstrate the feasibility and impact of the LinDA approach in the
EU SMEs Sector through the LinDA pilots
55
• Achieve international recognition and spread excellence, diffuse and
communicate results and contribute to standardisation and education.
17/12/2013SlideShare
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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 of Visualization 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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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
Visualizati
on 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 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
2/10/2014Event - Place
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LinDA Scenarios
2/10/2014Event - Place
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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

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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
2/10/2014SlideShare
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Partners
2/10/2014
SlideShare
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11. info @
LinDA-project.eu
@LinDA_FP7
+
LiNDA-project.eu
LinDAFP7
Thank you! Questions?
2/10/2014 Event - Place