opendataweek marseille 2013 : françois scharffe -- lifting and linking traditional raw data as...
TRANSCRIPT
![Page 1: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/1.jpg)
Lifting and linking traditional raw data as Linked Open Data: the Datalift project
Open Data WeekJune 26th, 2013Marseille
François [email protected]@lechatpito
![Page 2: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/2.jpg)
“[…] 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
![Page 3: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/3.jpg)
Easy ! Let's do it...
![Page 4: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/4.jpg)
Grenoble Ville Augmentée, Project Datalyse
![Page 5: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/5.jpg)
![Page 6: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/6.jpg)
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
![Page 7: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/7.jpg)
From Open Data to Linked Open Data
![Page 8: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/8.jpg)
Revue Datalift 28/06/2012, ANR, Paris 8
The data lifting process… is rather complex
![Page 9: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/9.jpg)
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/
![Page 10: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/10.jpg)
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
![Page 11: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/11.jpg)
Revue Datalift 28/06/2012, ANR, Paris 11
Managing access rights on published data
![Page 12: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/12.jpg)
Revue Datalift 28/06/2012, ANR, Paris 12
Managing licenses and access rights on published data
![Page 13: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/13.jpg)
InterlinkingOvercome heterogeneity
How to identify similar resources ?
How to identify datasets to interlink?How to align vocabularies ?
Improve discoverability
![Page 14: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/14.jpg)
Datalift Platform
![Page 15: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/15.jpg)
DAT
ALIF
T
En route vers le web des données liées
Rendez-vous demain à 14h pour l'atelier Datalift !
![Page 16: OpenDataWeek Marseille 2013 : François Scharffe -- Lifting and linking traditional raw data as Linked Open Data: The Datalift project](https://reader033.vdocuments.net/reader033/viewer/2022052908/5594a8601a28ab4c348b4728/html5/thumbnails/16.jpg)
16
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