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Using the Web as a Data Source: Challenges for Linked Science

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Short paper presented at Linked Science workshop, ISWC 2015.

http://linkedscience.org/events/lisc2015/
http://linkedscience.org/wp-content/uploads/2015/04/paper5.pdf

Published in: Science
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Using the Web as a Data Source: Challenges for Linked Science

  1. 1. Using the Web as a Data Source: Challenges for Linked Science Carsten Keßler Hunter College, City University of New York http://carsten.io @carstenkessler
  2. 2. Data collection Then and now
  3. 3. http://www.sysomos.com/inside-twitter/twitter-friendship-data
  4. 4. Validity issues Sampling bias, anyone?
  5. 5. „Scottish independence referendum results“ von Brythones. Lizenziert unter CC-BY-SA 4.0 über Wikimedia Commons - https://commons.wikimedia.org/wiki/File:Scottish_independence_referendum_results.svg#/media/File:Scottish_independence_referendum_results.svg
  6. 6. Reproducibility issues The ivory tower, locked up
  7. 7. Linked Science …to the rescue?
  8. 8. Does LISC work here? • Semantic annotation, linking and archiving is problematic: • large datasets • in constant flux • legal restrictions • terms of service may change at any time • legislation required to permit archiving
  9. 9. Can we fix sampling bias? • Probably not, but… • need to be aware of it • if possible, test against other datasets to check for validity of conclusions • can we somehow encode this, maybe as provenance?
  10. 10. Should we enforce data publication? • Tradeoff between: • Learning about interesting new research going on at those companies, without any ability to verify or reproduce results • Implementing and enforcing strict rules for conference and journal outlets that would force authors to provide the data used in their analysis
  11. 11. Thank you. Carsten Keßler Hunter College, City University of New York http://carsten.io @carstenkessler

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