How semantic representations can support scholarly communication
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Talk given at OAI8 https://indico.cern.ch/contributionDisplay.py?sessionId=3&contribId=0&confId=211600 One part of scientific communication is to effectively structure information so that it can be easily consumed. We spend a great deal of effort doing this for humans, however, given the amount of scientific information we are producing we should also spend some effort doing this for machines. In this talk, I review several semantic representations that are making it easier for machines to consume scholarly content. Moreover, I discuss how these representations can facilitate the decoupling of the journal and the ability to remix scholarly content.
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How semantic representations can support scholarly communication
- 1. Paul Groth p.t.groth@vu.nl | @pgroth http://www.few.vu.nl/~pgroth How semantic representations can support scholarly communication
- 21. Part 1 thoughts • It’s out there • Existing widely deployed semantic formats are useful • Leverage consumer platforms • Can we build better applications?
- 24. Shotton D, Portwin K, Klyne G, Miles A (2009) Adventures in Semantic Publishing: Exemplar Semantic Enhancements of a Research Article. PLoS Comput Biol 5(4): e1000361. doi:10.1371/journal.pcbi.1000361 http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000361
- 25. Shotton D, Portwin K, Klyne G, Miles A (2009) Adventures in Semantic Publishing: Exemplar Semantic Enhancements of a Research Article. PLoS Comput Biol 5(4): e1000361. doi:10.1371/journal.pcbi.1000361 http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000361
- 30. 66 implementations 41 systems 22 vocab/datasets 3 validators http://www.w3.org/ns/prov
- 34. Paul Groth and David A. Shamma. 2013. Spinning data: remixing live data like a music dj. In CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13). ACM, New York, NY, USA, 3063-3066. DOI=10.1145/2468356.2479611 http://doi.acm.org/10.1145/2468356.24 79611
Notes de l'éditeur
- Already tutorials as well
- Structure helps people understand the meaning of science… we do a lot of work
- We do a lot of work …. But what about for machines … data
- http://www.globalcognition.org/head-smart/3-ways-concept-maps-help-you-learn/
- http://stackoverflow.com/questions/10397510/are-open-graph-tags-just-for-facebook
- Any23.org
- http://www.google.com/webmasters/tools/richsnippets
- http://www.addthis.com
- What could you do if you had more….?
- An ode to davidshotton
- Is it hard work?For the original ten person-weeks of effort
- http://semanticpublishing.wordpress.com/2013/04/19/scorf/SCoRF should take no more that 15 minutes (excluding thinking time!),
- http://www.data2semantics.org/2013/06/12/golden-demo-hackathon-i/
- Fundamental for the credit network….
- Directly access analytic tools fueled by provenacne remixed from multiple sources