he LinDA project addresses one of the most significant challenges of the usage and publication of Linked Data, the renovation and conversion of existing data formats into structures that support the semantic enrichment and interlinking of data. The set of tools provided by LinDA will assist enterprises, especially SMEs which often cannot afford the development and maintenance of dedicated information analysis and management departments, in efficiently developing novel data analytical services that are linked to the available public data therefore contributing to improve their competitiveness and stimulating the emergence of innovative business models.
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LinDA Vision
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
Slideshare
2/10/2014
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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
SlideShare
2/10/2014
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LinDA Objectives
1
• Enhance the ability of data providers to provide re-usable, machineprocessable linked data.
2
• Provide out-of-the-box software components and analytic tools for
SMEs for combining and linking public sector information with
privately-owned data
3
• Create an ecosystem of Linked Data Publication and Consumption
Apps
4
• Demonstrate the feasibility and impact of the LinDA approach in the
EU SMEs Sector through the LinDA pilots
5
• Achieve international recognition and spread excellence, diffuse and
communicate results and contribute to standardisation and education.
SlideShare
17/12/2013
5. LinDA Outcomes
Open Data Renovation
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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 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
Open Data Consumption
A Linked Data API deployed
as a proxy to provide access in
other widely established formats,
based on the internal RDF data
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High Level Architecture
Transformation
Visual Tool
Public
Sector
Open
Data
Various File
Formats
Private Groups
LinDA
Transformation
Mapping
Engine
Rules
Private
Data
Sources
Relational
Databases
LINDA Linked
Data Vocabularies
and Metadata
RDF
Linked
Data
Open Data Renovation
SMEs
LINDA Publication and Consumption Apps
Ecosystem
LINDA
Analytics / Data
Analytics
Mining
Apps
Library
LINDA
visualization
Visualizati
and exploration
on Apps
Library
Open Data Consumption
LOD cloud
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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
Event - Place
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 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
SlideShare
2/10/2014