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Smart Content

Bradley P. Allen
Elsevier Labs
Presentation to AAP PSP Pre-Conference 2012
Washington, D.C.
2012-02-01 (revised version of 2012-02-21)
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
Discovering




              3
Discovering




              4
Discovering
Understanding
Understanding
Understanding




                8
Understanding




                9
Understanding




                10
Integrating




              11
Creating smart content by adding structure

                                     Asset
                                    Metadata


                       Provenance
                                                Concepts
                        and Trust




                         Usage                  Assertions



                                    Citations




                                                             12
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
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
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
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
Methods for adding structure to content

 Manual                                                   Automated
Annotation   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
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
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
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
Today, authors turn research into content




                                            21
Linked data can be extracted from content




                                            22
New content can be created as views over linked data




                                                 23
Soon, research will become linked data directly




                                             24
Linked data will be used to create models




                                            25
Models in turn create more linked data




                                         26
Smart content stitches scholarship into the Web




                                            27
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
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 Aren't the Facts, Experts Are Everywhere, and the Smartest
   Person in the Room Is the Room, Basic Books, New York, NY




                                                                        29
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
Filtering is moving into the Web




                                   31
Metrics are moving into the Web




                                  32
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
The printing press is now the data center




                                            34
Publishers are becoming hubs, then platforms




                                           35
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
The skills to do this are increasingly accessible




                                                37
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
Thank you

Bradley P. Allen
b.allen@elsevier.com

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Smart Content AAP PSP 2012 02-01 rev 1

  • 1. Smart Content Bradley P. Allen Elsevier Labs Presentation to AAP PSP Pre-Conference 2012 Washington, D.C. 2012-02-01 (revised version of 2012-02-21)
  • 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
  • 12. Creating smart content by adding structure Asset Metadata Provenance Concepts and Trust Usage Assertions Citations 12
  • 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. 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. 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. 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. Methods for adding structure to content Manual Automated Annotation 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. 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. 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. 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. Today, authors turn research into content 21
  • 22. Linked data can be extracted from content 22
  • 23. New content can be created as views over linked data 23
  • 24. Soon, research will become linked data directly 24
  • 25. Linked data will be used to create models 25
  • 26. Models in turn create more linked data 26
  • 27. Smart content stitches scholarship into the Web 27
  • 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. 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 Aren't the Facts, Experts Are Everywhere, and the Smartest Person in the Room Is the Room, Basic Books, New York, NY 29
  • 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. Filtering is moving into the Web 31
  • 32. Metrics are moving into the Web 32
  • 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. The printing press is now the data center 34
  • 35. Publishers are becoming hubs, then platforms 35
  • 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. The skills to do this are increasingly accessible 37
  • 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. Thank you Bradley P. Allen b.allen@elsevier.com