linda (linked data analytics) project general presentation

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

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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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Page 1: Linda (Linked Data Analytics) project general presentation

LinDA-project.eu

Enabling Linked Data and Analytics for SMEs by

renovating public sector information

Salvatore Virtuoso - PIKSEL

Page 2: Linda (Linked Data Analytics) project general presentation

+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

Page 3: Linda (Linked Data Analytics) project general presentation

+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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Page 4: Linda (Linked Data Analytics) project general presentation

+LinDA Objectives

11• 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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Page 5: Linda (Linked Data Analytics) project general presentation

+LinDA Outcomes

2/10/2014

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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

Op

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Page 6: Linda (Linked Data Analytics) project general presentation

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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 Architecture6

Page 7: Linda (Linked Data Analytics) project general presentation

+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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Page 8: Linda (Linked Data Analytics) project general presentation

+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

Page 9: Linda (Linked Data Analytics) project general presentation

+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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Page 10: Linda (Linked Data Analytics) project general presentation

+Partners

2/10/2014

SlideShare

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Page 11: Linda (Linked Data Analytics) project general presentation

info @

LinDA-project.eu

@LinDA_FP7

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LiNDA-project.eu

LinDAFP7

Thank you! Questions?

2/10/2014 Event - Place