Introduction to the Pundit Hands-on session at the Austrian National Library, Vienna, 18 November 2014

1. SEMANTIC ANNOTATION
WITH PUNDIT
Short introduction
Alessio Piccioli - Net7 SRL
Christian Morbidoni - Università Politecnica delle Marche

2. LINKED DATA
FOR HUMANITIES SCHOLARS
• Machines do not think like you do …
• … they will not do your research for you! …
• Sorry :-)

3. LINKED DATA
FOR HUMANITIES SCHOLARS
• But machines are better than you in:
• Reading/analysing data faster
• Collecting and merging data
• Transmitting and making data available
• Transforming data into something useful
• Intermediate results that can help you reasoning

4. Ampere + Lod Live

5. Timelinejs + Bode letters

10. LINKED DATA
FOR HUMANITIES SCHOLARS
• To do this machines needs data first!
• Libraries have data, but it is not enough
• Some data can be “automagically“ extracted…
• … but not always and not without help from humans

11. • Here is where Pundit comes in
• Enabling you to create data by annotating
• structured data that machines can re-use
• collaboratively created data

13. • Create structured data by annotating text and images
• Share and publish your annotations
• Configure for your specific domain
• Custom annotation vocabularies
• Custom annotation templates
• REST API to consume annotations from third party apps

14. • Use it by…
• Including JS library in your web site
• Deploying a bookmarklet
• As-a-service (via feed.thepund.it)
• Links:
• Web site: http://thepund.it
• GitHub: https://github.com/net7/pundit2 , https://github.com/net7/pundit-server
• YES… IT IS OPEN SOURCE!

15. FEEDBACK
• Your feedback is precious!
• After the session please spend some time to fill the questionnaire:
• http://goo.gl/gvHPuf