LinDA-project.eu

Enabling Linked Data and Analytics for SMEs by

renovating public sector information

Dr. Sotiris Koussouris

DSSLab – NTUA

skous@me.com

+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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eChallenges e2014 - Belfast, UK

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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

+LinDA Objectives

1• Enhance the ability of data providers to provide re-usable, machine-

processable 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.

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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

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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 LibraryVisualization

Apps Library

Private Groups

LOD cloud

SMEs

Open Data Renovation

Open Data Consumption

LINDA Publication and Consumption Apps

Ecosystem

High Level Architecture9

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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

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