SEMANTIC ANNOTATION WITH PUNDIT

Short introduction Alessio Piccioli - Net7 SRL

Christian Morbidoni - Università Politecnica delle Marche

LINKED DATA FOR HUMANITIES SCHOLARS

• Machines do not think like you do …

• … they will not do your research for you! …

• Sorry :-)

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

Ampere + Lod Live

Timelinejs + Bode letters

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

• Here is where Pundit comes in

• Enabling you to create data by annotating

• structured data that machines can re-use

• collaboratively created data

• 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

• 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!

FEEDBACK

• Your feedback is precious!

• After the session please spend some time to fill the questionnaire:

• http://goo.gl/gvHPuf