Introduction to the Pundit Hands-on session
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SEMANTIC ANNOTATION WITH PUNDIT
Short introduction Alessio Piccioli - Net7 SRL
Christian Morbidoni - Università Politecnica delle Marche
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LINKED DATA FOR HUMANITIES SCHOLARS
• Machines do not think like you do …
• … they will not do your research for you! …
• Sorry :-)
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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
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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
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• Here is where Pundit comes in
• Enabling you to create data by annotating
• structured data that machines can re-use
• collaboratively created data
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• 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
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• 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!
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FEEDBACK
• Your feedback is precious!
• After the session please spend some time to fill the questionnaire:
• http://goo.gl/gvHPuf