Smart Content AAP PSP 2012 02-01 rev 1

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A presentation on smart content (what it is, how it is produced, why it is useful, and its relevance to the future of scholarly publishing) for the Association of American Publishers Professional and Scholarly Publishing Pre-Conference in Washington, D.C. on 2012-02-01.

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Smart Content AAP PSP 2012 02-01 rev 1

  1. 1. Smart ContentBradley P. AllenElsevier LabsPresentation to AAP PSP Pre-Conference 2012Washington, D.C.2012-02-01 (revised version of 2012-02-21)
  2. 2. What is smart content? • Smart content is content structured to make it easier to do your work – Discover it faster – Understand it better – Integrate it more cheaply with other solutions 2
  3. 3. Discovering 3
  4. 4. Discovering 4
  5. 5. Discovering
  6. 6. Understanding
  7. 7. Understanding
  8. 8. Understanding 8
  9. 9. Understanding 9
  10. 10. Understanding 10
  11. 11. Integrating 11
  12. 12. Creating smart content by adding structure Asset Metadata Provenance Concepts and Trust Usage Assertions Citations 12
  13. 13. Creating smart content: asset metadata Mandatory Pain Scoring at Triage Reduces Time to Analgesia Jaideep Vazirani, Jonathan C. Knott, MBBS, PhD From the Department of Emergency Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia; and the Asset Metadata Melbourne Medical School, University of Melbourne, Parkville, Victoria, Australia. Provenance Concepts Copyright © 2011 by the American College of Emergency and Trust Physicians. doi:10.1016/j.annemergmed.2011.08.007 …. We found that mandatory pain scoring did not change the frequency of analgesic administration. Baumann et al32 Usage Assertions similarly found no increased use of analgesics after improved documentation of pain through a template chart. … Citations 32. Baumann BM, Holmes JH, Chansky ME, et al. Pain assessments and the provision of analgesia: the effects of a templated chart. Acad Emerg Med. 2007;14:47-52. 13
  14. 14. Creating smart content: concepts Mandatory Pain Scoring at Triage Reduces Time to Analgesia Jaideep Vazirani, Jonathan C. Knott, MBBS, PhD From the Department of Emergency Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia; and the Asset Metadata Melbourne Medical School, University of Melbourne, Parkville, Victoria, Australia. Provenance Concepts Copyright © 2011 by the American College of Emergency and Trust Physicians. doi:10.1016/j.annemergmed.2011.08.007 …. We found that mandatory pain scoring did not change the frequency of analgesic administration. Baumann et al32 Usage Assertions similarly found no increased use of analgesics after improved documentation of pain through a template chart. … Citations 32. Baumann BM, Holmes JH, Chansky ME, et al. Pain assessments and the provision of analgesia: the effects of a templated chart. Acad Emerg Med. 2007;14:47-52. 14
  15. 15. Creating smart content: assertions Mandatory Pain Scoring at Triage Reduces Time to Analgesia Jaideep Vazirani, Jonathan C. Knott, MBBS, PhD From the Department of Emergency Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia; and the Asset Metadata Melbourne Medical School, University of Melbourne, Parkville, Victoria, Australia. Provenance Concepts Copyright © 2011 by the American College of Emergency and Trust Physicians. doi:10.1016/j.annemergmed.2011.08.007 …. We found that mandatory pain scoring did not change the frequency of analgesic administration. Baumann et al32 Usage Assertions similarly found no increased use of analgesics after improved documentation of pain through a template chart. … Citations 32. Baumann BM, Holmes JH, Chansky ME, et al. Pain assessments and the provision of analgesia: the effects of a templated chart. Acad Emerg Med. 2007;14:47-52. 15
  16. 16. Creating smart content: citations Mandatory Pain Scoring at Triage Reduces Time to Analgesia Jaideep Vazirani, Jonathan C. Knott, MBBS, PhD From the Department of Emergency Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia; and the Asset Metadata Melbourne Medical School, University of Melbourne, Parkville, Victoria, Australia. Provenance Concepts Copyright © 2011 by the American College of Emergency and Trust Physicians. doi:10.1016/j.annemergmed.2011.08.007 …. We found that mandatory pain scoring did not change the frequency of analgesic administration. Baumann et al32 Usage Assertions similarly found no increased use of analgesics after improved documentation of pain through a template chart. … Citations 32. Baumann BM, Holmes JH, Chansky ME, et al. Pain assessments and the provision of analgesia: the effects of a templated chart. Acad Emerg Med. 2007;14:47-52. 16
  17. 17. Methods for adding structure to content Manual AutomatedAnnotation Curation Modeling Extraction Classification Regression Clustering Collaborative Topic Entity Relation filtering Modeling Extraction Extraction• Very mature, but • Variable degrees of maturity, but huge • Language-driven, hard to scale strides through machine learning research so challenging to• Crowdsourcing is and practical application on the consumer generalize and a possible solution, Internet scale but quality control • Data-driven, so the more data the better • Crucial to realize is a challenge • Models can be used to build applications, promise of ease of can be a new type of publication integration 17
  18. 18. Elsevier’s approach • Embrace linked data principles while leveraging our existing content production workflow and infrastructure – Find the right balance between production/QA and online delivery • Leverage partners for content enhancement and knowledge organization – Reuse Web-standard vocabularies, taxonomies, ontologies and entity resources where possible • Start with asset metadata and subjects • Deliver benefits across the complementary use cases of researcher and practitioner 18
  19. 19. What is linked data? “Linked data is just a term for how to publish data on the web while working with the web. And the web is the best architecture we know for publishing information in a hugely diverse and distributed environment, in a gradual and sustainable way.” Jeni Tennison. 2010. Why Linked Data for data.gov.uk? http://www.jenitennison.com/blog/node/140 19
  20. 20. The four principles of linked data 1. Use URIs as names for things 2. Use HTTP URIs so that people can look up those names 3. When someone looks up a URI, provide useful information, using the standards 4. Include links to other URIs, so that they can discover more things Tim Berners-Lee. 2006. Linked Data http://www.w3.org/DesignIssues/LinkedData.html 20
  21. 21. Today, authors turn research into content 21
  22. 22. Linked data can be extracted from content 22
  23. 23. New content can be created as views over linked data 23
  24. 24. Soon, research will become linked data directly 24
  25. 25. Linked data will be used to create models 25
  26. 26. Models in turn create more linked data 26
  27. 27. Smart content stitches scholarship into the Web 27
  28. 28. Challenges in publishing smart content • URI and namespace management and governance • Globalization/localization of knowledge organization systems • Registries for resolving identity of named entities for accreditation, provenance and trust 28
  29. 29. What smart content means for the publishing business “Our new knowledge does not consist of a careful set of works that have passed through a series of gates. … Our new knowledge is not even a set of works. It is an infrastructure of connection.” David Weinberger. 2011. Too Big to Know: Rethinking Knowledge Now That the Facts Arent the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room, Basic Books, New York, NY 29
  30. 30. The digital library is a horseless carriage Print era: 1600s - Digital Library era: Platform-as-a- 1980 1980 – 2010s Service era: 2010s • Packaged as • Packaged as • Packaged as books and books and apps and APIs articles articles • Digitally • Physically • Digitally distributed distributed distributed • Access and • Access and • Access and discovery discovery discovery through social through through search networks libraries engines 30
  31. 31. Filtering is moving into the Web 31
  32. 32. Metrics are moving into the Web 32
  33. 33. Content publishing is becoming business intelligence Surajit Chaudhuri, Umeshwar Dayal, and Vivek Narasayya. 2011. An overview of business intelligence technology. Commun. ACM 54, 8 (August 2011), 88-98. http://doi.acm.org/10.1145/1978542.1978562 33
  34. 34. The printing press is now the data center 34
  35. 35. Publishers are becoming hubs, then platforms 35
  36. 36. Smart content is a bridge to the future of publishing • Smart content allows publishers to create new products and services through structuring content for better discovery, insight and utility – The value is in the structure, not the content – Creating that structure is hard work – The kind of hard work that publishers have traditionally focused on • New consumer Internet businesses are using open source software and the cloud to add structure to content today… quickly and on the cheap • Publishers and societies both large and small can use the same techniques to follow suit 36
  37. 37. The skills to do this are increasingly accessible 37
  38. 38. Things you can do now • Expose existing asset and subject metadata as linked data in Web pages to aid discovery – E.g. schema.org • Embrace and extend authoritative ontologies and repositories on the Web • Collaborate in building needed authoritative resources for identity resolution and metrics – E.g. ORCID 38
  39. 39. Thank youBradley P. Allenb.allen@elsevier.com

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