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Democratizing
Open Data
Alvaro Graves
Tetherless World Constellation
Department of Cognitive Science
Rensselaer Polytechnic Institute
gravea3@rpi.edu
@alvarograves
2
Good news first
• More than 1 million datasets available from
many national and local governments over the
world
• Billions of triples in the LOD cloud
• There is information available about people,
budgets, education, transportation, geography,
etc.
3
OK, now the bad news....
• “Bad” data being published
• No use of standards, inconsistent, hard to consume
and automatize
• “Boring” data, not useful for many people
• Budget of 1994 is not as exciting as you may think
• “Unusable” data: There is no app for that
• Apps and hackathons don’t scale to cover the
needs of the long tail
4
Small-scale activism/journalism
• How can a small community benefit from Open
Data (even from national repositories)?
• How can non-geeks make use of OpenData
without someone building an app for them?
• How the promises of transparency, accountability,
etc. can be enforced by common citizens?
5
Looking back at the Web
• Web 1.0
• You needed to learn HTML, CGI-BIN, FTP, or...
• Have a Webmaster
• Web 2.0
• Better tools (e.g., MediaWiki,Wordpress, Drupal)
simplified the process of publishing and creating
content on the Web
6
Challenges are similar,
but not the same
• Creating and reading a webpage is “easy”
• Writers and readers have been doing it for
centuries in books and newspapers
• Managing (semi-)structured data is relatively new for
many people
• Different metaphors are needed
7
Easy win:Visualizations
• Allowing people to create custom
visualizations based on Open Data easily
• Nice way to consume and communicate
large amounts of data
• Nice way to identify trends and detect
outliers
8
Visualbox
• Tool for creating
visualizations based on
Linked Data
• Presented a session at
the Mozilla Festival 2012
• Great feedback, but still
hard to use by non-
SemWeb geeks
• SPARQL is hard!
• Quality of Linked Data
is an issue
9
Conclusions
• A call to arms:We need better tools to empower
citizens to use Open Data
• The needs of the LongTail are important and can’t
be dismissed
• Visualizations can be an easy start
Thanks!
Alvaro Graves - @alvarograves
9
Conclusions
• A call to arms:We need better tools to empower
citizens to use Open Data
• The needs of the LongTail are important and can’t
be dismissed
• Visualizations can be an easy start
Thanks!
Alvaro Graves - @alvarograves

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Democratizing Open Data

  • 1. 1 Democratizing Open Data Alvaro Graves Tetherless World Constellation Department of Cognitive Science Rensselaer Polytechnic Institute gravea3@rpi.edu @alvarograves
  • 2. 2 Good news first • More than 1 million datasets available from many national and local governments over the world • Billions of triples in the LOD cloud • There is information available about people, budgets, education, transportation, geography, etc.
  • 3. 3 OK, now the bad news.... • “Bad” data being published • No use of standards, inconsistent, hard to consume and automatize • “Boring” data, not useful for many people • Budget of 1994 is not as exciting as you may think • “Unusable” data: There is no app for that • Apps and hackathons don’t scale to cover the needs of the long tail
  • 4. 4 Small-scale activism/journalism • How can a small community benefit from Open Data (even from national repositories)? • How can non-geeks make use of OpenData without someone building an app for them? • How the promises of transparency, accountability, etc. can be enforced by common citizens?
  • 5. 5 Looking back at the Web • Web 1.0 • You needed to learn HTML, CGI-BIN, FTP, or... • Have a Webmaster • Web 2.0 • Better tools (e.g., MediaWiki,Wordpress, Drupal) simplified the process of publishing and creating content on the Web
  • 6. 6 Challenges are similar, but not the same • Creating and reading a webpage is “easy” • Writers and readers have been doing it for centuries in books and newspapers • Managing (semi-)structured data is relatively new for many people • Different metaphors are needed
  • 7. 7 Easy win:Visualizations • Allowing people to create custom visualizations based on Open Data easily • Nice way to consume and communicate large amounts of data • Nice way to identify trends and detect outliers
  • 8. 8 Visualbox • Tool for creating visualizations based on Linked Data • Presented a session at the Mozilla Festival 2012 • Great feedback, but still hard to use by non- SemWeb geeks • SPARQL is hard! • Quality of Linked Data is an issue
  • 9. 9 Conclusions • A call to arms:We need better tools to empower citizens to use Open Data • The needs of the LongTail are important and can’t be dismissed • Visualizations can be an easy start Thanks! Alvaro Graves - @alvarograves
  • 10. 9 Conclusions • A call to arms:We need better tools to empower citizens to use Open Data • The needs of the LongTail are important and can’t be dismissed • Visualizations can be an easy start Thanks! Alvaro Graves - @alvarograves