OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as...

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Lifting and linking traditional raw data as Linked Open Data: the Datalift project

Open Data WeekJune 26th, 2013Marseille

François ScharffeFrancois.scharffe@lirmm.fr@lechatpito

“[…] information – one that contains enormous potential to create more accountable, effcient, responsive, and effective governments and businesses […]”

“Freely-available government data can be used in innovative ways to create useful tools and products”

Extracts of the G8 charter

Source: https://www.gov.uk/government/publications/open-data-charter/g8-open-data-charter-and-technical-annex

Easy ! Let's do it...

Semantic Web technologies as a solution

ØA global identifier system

ØA unique data format

ØA set of knowledge representation formats

ØUniform access protocols

ØEnable a web of interlinked data

From Open Data to Linked Open Data

Revue Datalift 28/06/2012, ANR, Paris 8

The data lifting process… is rather complex

Revue Datalift 28/06/2012, ANR, Paris 9

Reusable vocabularies catalog : Linked Open Vocabularies (LOV)

• 260 vocabularies selected by experts(20 000 elements). These vocabularies are certified by Datalift and can be reused as a base to create schemas for publishing data.

• Accessible in the Datalift platform and shared on the Web http://labs.mondeca.com/dataset/lov/

Naming things

ØGood practices and proper identifiers

§ A resource: http://dbpedia.org/resource/Paris

§ A document:http://dbpedia.org/page/Paris

§ Data:http://dbpedia.org/data/Paris

Revue Datalift 28/06/2012, ANR, Paris 11

Managing access rights on published data

Revue Datalift 28/06/2012, ANR, Paris 12

Managing licenses and access rights on published data

InterlinkingOvercome heterogeneity

How to identify similar resources ?

How to identify datasets to interlink?How to align vocabularies ?

Improve discoverability

Datalift Platform

DAT

ALIF

T

En route vers le web des données liées

Rendez-vous demain à 14h pour l'atelier Datalift !

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Credits

This presentation was realized thanks to the work of the Datalift team.It can be freely distributed under Creative Commons licence BY-NC-SA 3.0