Publising Data on the Web

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Publishing Data on the Web presented to the DC/Virginia/Maryland Search Engine Marketing Meetup Group. This is a gentle intro into why and how public & private sector organizations are adding structured content to their Websites to improve data sharing, search engine optimization and drive data re-use.

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Publising Data on the Web

  1. 1. Publishing Data! on the Web 3RoundStones.com ! ! ! ! The DC, VA & MD Search Engine Marketing Meetup 11-March-2014 A talk by Bernadette Hyland, CEO ! Twitter: @BernHyland Email: bhyland@3RoundStones.com +1-877-290-2127 This presentation on http://slideshare.net/3RoundStones ExtendYourReach.
  2. 2. “Big Data Is Important, but Open Data Is More Valuable” ! As change agents, enterprise architects can help their organizations become richer through strategies such as open data. David Newman, VP Research, Gartner
  3. 3. Big Data Simple data Complex data Legacy data
  4. 4. Successes of Linked Data ! ! Why? Proliferation of knowledge bases for search engine exploitation • Google Rich Snippets • schema.org’s adoption of RDFa Lite • Good Relations vocabulary (consumer) • Facebook’s use of RDFa (“Like”) It is difficult to see successes because it is all “under the hood”
  5. 5. !10
  6. 6. Today’s Data on the Web
  7. 7. !12 Image credit: http://www.flickr.com/photos/fdecomite/3398523464/
  8. 8. Linked Data on the Web my data collector collected by measurement Michael first name Hausenblaslast name Person a a measurement 2011-01-01 date 0 value units of measure degrees Centigrade ... Galway Airport collected at or
  9. 9. • Linked Data is about publishing and consuming data using international data standards • Based on 20+ year old idea • A system of linked information systems M A N N I N G David Wood Marsha Zaidman Luke Ruth WITH Michael Hausenblas FOREWORD BY Tim Berners-Lee Structured data on the Web
  10. 10. We’ve Seen This Before
  11. 11. Chris Welty “Semantic Technology is not an end in itself, it is a means to an end, a set of tools and techniques for supporting modern data analytics. It goes alongside other essential technologies like machine learning, databases, information retrieval, etc.”
  12. 12. Callimachus Enterprise supports distributed, in-browser workflow creation, editing and publication using the Linked Data model. A data integration platform Callimachus Enterprise
  13. 13. Big data! • Simple data! • Complex data! • Legacy data! Integrating ...
  14. 14. <HTML> Enterprise Data Documents Read Point to, include Callimachus Enterprise
  15. 15. User NOAA US EPA AirNow DBpedia National Library of Medicine US EPA SunWise
  16. 16. Key points • Simple, complex and legacy data require different approaches • Using Open Web Standards • Find, access, interoperate and re-use (“fair”) • Linked Data useful for high value content • HTML5 for great user experience, mobile • Biggest win for public & private sector is ease of combining Open Data + Enterprise Content
  17. 17. M A N N I N G David Wood Marsha Zaidman Luke Ruth WITH Michael Hausenblas FOREWORD BY Tim Berners-Lee Structured data on the Web 1 D oorPrize
  18. 18. Publish your data on the Web … you’ll reap the rewards Bernadette Hyland, CEO bhyland@3RoundStones.com @BernHyland Direct +1-571-331-3758
  19. 19. This work is Copyright © 2011-2014 3 Round Stones Inc. It is licensed under the Creative Commons Attribution 3.0 Unported License
 Full details at: http://creativecommons.org/licenses/by/3.0/ You are free: to Share — to copy, distribute and transmit the work to Remix — to adapt the work Under the following conditions: Attribution. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.

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