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DM2E AND LINKED DATA 
FOR DIGITAL SCHOLARS 
WP3 
Christian Morbidoni - Università Politecnica delle Marche 
Alessio Piccio...
HOW CAN MACHINES HELP 
SCHOLARS ? 
• Machines do not think like scholars do … 
• … they will not do your research for you!...
HOW MACHINE CAN HELP 
SCHOLARS ? 
• But machines are better/faster than we are in: 
• Reading/analysing data 
• Collecting...
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...
• Here is where Pundit comes in 
• Enabling you to create data by annotating 
• structured data that machines can re-use 
...
ASK 
Manage and explore notebooks
Access DM2E content via faceted search 
purl.org/net/dm2e/search
• Create structured data by annotating text and images 
• Share and publish your annotations 
• Configure for your specifi...
• Use it by… 
• Including JS library in your web site 
• Deploying a bookmarklet 
• As-a-service (via feed.thepund.it) 
• ...
Live Demo 
• Demos: 
• Rome Sept. 2014: http://dev.thepund.it/dariah2014/ 
• Vienna Nov. 2014: http://dm2e-lab1.netseven.i...
KNOWLEDGE FLOW 
S E P R 
SEARCH 
EXPLORE 
ENRICH 
AUGMENT 
PUBLISH 
REUSE 
Live Demo
S E P R 
SEARCH / LODPORTAL 
Live Demo
S E P R 
ENRICH / PUNDIT 
Live Demo
ENRICH / PUNDIT / USER STORY 
Person Time Place 
1877/08/15 
S E P R 
Live Demo 
Somebody was in a place on a date
S E P R 
PUBLISH / TIMEMAPPER 
Live Demo
Thank you. 
christian.morbidoni@gmail.com 
piccioli@netseven.it
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08a punditdm2efinaleventpisa2014 141212080409-conversion-gate01
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DM2E Linked Data for Digital Scholars (with talks by Christian Morbidoni – Università Politecnica delle Marche / Net7, Steffen Hennicke – Humboldt Universität and Alessio Piccioli – Net7)

Publié dans : Technologie
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08a punditdm2efinaleventpisa2014 141212080409-conversion-gate01

  1. 1. DM2E AND LINKED DATA FOR DIGITAL SCHOLARS WP3 Christian Morbidoni - Università Politecnica delle Marche Alessio Piccioli - Net7 SRL
  2. 2. HOW CAN MACHINES HELP SCHOLARS ? • Machines do not think like scholars do … • … they will not do your research for you! … • Sorry :-)
  3. 3. HOW MACHINE CAN HELP SCHOLARS ? • But machines are better/faster than we are in: • Reading/analysing data • Collecting and merging data • Transmitting and making data available • So they can help scholars to • Create meaningful data • Transform data into something useful • Visualise intermediate research results that can help scholars in reasoning
  4. 4. Ampere + Lod Live
  5. 5. Timelinejs + Bode letters
  6. 6. LINKED DATA FOR HUMANITIES SCHOLARS • To do this machines needs data first! • Libraries have data, but it is not enough • Some data can be auto-magically extracted… • … but not always and not without help from humans • … and we want data to be Linked Data • Provides a uniform way to access data, so machines can reach it • Provides a uniform data format (RDF) so machines can read data • Hollows to connect to the web of data (reuse what is already out there)
  7. 7. • Here is where Pundit comes in • Enabling you to create data by annotating • structured data that machines can re-use • collaboratively created data
  8. 8. ASK Manage and explore notebooks
  9. 9. Access DM2E content via faceted search purl.org/net/dm2e/search
  10. 10. • 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
  11. 11. • 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!
  12. 12. Live Demo • Demos: • Rome Sept. 2014: http://dev.thepund.it/dariah2014/ • Vienna Nov. 2014: http://dm2e-lab1.netseven.it/ • London Nov. 2014: http://dm2e-lab4.netseven.it/
  13. 13. KNOWLEDGE FLOW S E P R SEARCH EXPLORE ENRICH AUGMENT PUBLISH REUSE Live Demo
  14. 14. S E P R SEARCH / LODPORTAL Live Demo
  15. 15. S E P R ENRICH / PUNDIT Live Demo
  16. 16. ENRICH / PUNDIT / USER STORY Person Time Place 1877/08/15 S E P R Live Demo Somebody was in a place on a date
  17. 17. S E P R PUBLISH / TIMEMAPPER Live Demo
  18. 18. Thank you. christian.morbidoni@gmail.com piccioli@netseven.it

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