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Entification: The Route to 'Useful' Library Data

SWIB14
December 03, 2014

Entification: The Route to 'Useful' Library Data

Presenter: Richard Wallis (OCLC)

Abstract:
Linked Data is all about identifying 'things' then describing them and their relationships in a web of other 'things', or entities. Many library linked data initiatives have focused on directly transforming records into RDF with little linking between the shared concepts captured within those records or to external authoritative representations of the same things. The British Library, with a linked data version of the British National Bibliography, was an early pioneer in attempting to model real world entities as a foundation for their data model. Similar research within OCLC, that led to the release of entities as open linked data from WorldCat.org, such as Works, has demonstrated the benefits of such an approach. It also demonstrates that there is much more than record-by-record format conversion required to successfully achieve a web of real world entities. Significant data mining processes, the open availability of authoritative data hubs (such as VIAF, FAST, Library of Congress), and the use of flexible and widely accepted vocabularies, all play a necessary part in this success. Richard will explore some of the issues and benefits of creating library data as descriptions of real world entities, and share some insights into the processes required and their results.

SWIB14

December 03, 2014
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  1. Entification:  The  Route  
    to  Useful  Library  Data
    Richard  Wallis  
    Technology  Evangelist  
    @rjw

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  2. 6 excellent SWIB's

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  3. 6 excellent SWIB's
    Many great LD Projects
    So today …..
    Where are we on the web?

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  4. Where are we on the web?

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  5. Irrelevant!
    Invisible on the web!

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  6. Irrelevant!
    Invisible on the web!

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  7. A  global,  nonprofit  library  cooperative
    16,737  members  in  109  countries  
    17  offices  
    5  data  centers

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  8. •322  million  cataloging  records  
    •2.1  billion  holdings  
    •17.3  million  e-­‐resources  in  the  WorldCat  knowledge  base  
    •Nearly  2,000  e-­‐content  collections  
    •1.5  billion  items  in  WorldCat  Discovery,  including:  
    • 297  million  peer-­‐reviewed  articles  
    • 41  million  digital  items  
    • 33  million  pieces  of  evaluative  content  
    • 35  million  archival  materials  
    • 8  million  open-­‐access  items  
    • and  much  more…
    Comprehensive  and  global

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  9. Comprehensive  and  global
    253  million  
    books
    16  million

    e-­‐books
    12  million

    serials
    12  million

    visual  materials
    7  million

    musical  scores
    4  million

    maps
    English:  
    83  million
    German:  
    25  million
    French:  
    18  million
    Spanish:  
    8.2  million
    Chinese:  
    5.1  million
    Italian:  
    3.4  million
    Dutch:  
    3.3  million
    Japanese:  
    2.9  million
    Russian:  
    2.9  million
    Danish  
    2.1  million
    Swedish:  
    1.9  million
    Portuguese:  
    1.3  million
    Just  a  few  of  

    the  dozens  of

    types  of  content:
    Some  of  the  485  languages  represented…  

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  10. •322  million  cataloging  records  
    •2.1  billion  holdings  
    •17.3  million  e-­‐resources  in  the  WorldCat  knowledge  base  
    •Nearly  2,000  e-­‐content  collections  
    •1.5  billion  items  in  WorldCat  Discovery,  including:  
    • 297  million  peer-­‐reviewed  articles  
    • 41  million  digital  items  
    • 33  million  pieces  of  evaluative  content  
    • 35  million  archival  materials  
    • 8  million  open-­‐access  items  
    • and  much  more…
    Comprehensive  and  global

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  11. ≈  2  Billion    
    Records

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  12. ≈  2  Billion    
    Records
    0  
    01261nam  a22002411  4500  
    01  
    303  
    005  
    00000000000000.0  
    008  
    990716m19091912enkb  b  000  0  eng  
    035  
    __  
     |9  (DLC)  24002676  
    906  
    __  
     |a  0    |b  ibc    |c  orignew    |d  u    |e  ocip    |f  19    |g  y-­‐gencatlg  
    955  
    __  
     |a  CATALOGER:  This  record,  imported  under  99-­‐219818  duplicated  24-­‐2676  
    on  PREMARC;  I  have  changed  LCCN  to  that  LCCN,  removed  copy  cataloging  characteristics,  and  
    deleted  the  PREMARC  record;  please  do  as  NEW  INPUT  and  complete  this  record  based  on  the  item  
    in  hand;  submit  item  for  selection;  if  retained,  add  as  a  copy.  ta05  07-­‐16-­‐99  
    __  
     |a    24002676    |z    99219818  
    _  
     |a  DLC    |c  DLC  
     |a  DA760    |b  .B88  1909  
    a  Brown,  Peter  Hume,    |d  1849-­‐1918.  
    ory  of  Scotland,    |c  by  P.  Hume  Brown.  
    e,    |b  University  Press,    |c  1909-­‐12.  
    art  fold.)    |c  20  cm.  
    series  
    ,  p.  455-­‐464;  v.  3,  p.  [435]-­‐444.  
    -­‐v.  2.  From  the  accession  of  Mary  
    o  the  disruption,  1843.  

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  13. Structured  Data  Objectives

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  14. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web

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  15. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons

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  16. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects

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  17. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications

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  18. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things

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  19. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood

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  20. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns

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  21. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies

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  22. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines

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  23. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions

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  24. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions
    • Linked  Data

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  25. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions
    • Linked  Data
    • RDF  –  RDFa,  RDF/XML,  JSON-­‐LD,  Turtle,  nTriples

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  26. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions
    • Linked  Data
    • RDF  –  RDFa,  RDF/XML,  JSON-­‐LD,  Turtle,  nTriples
    • Canonical  URIs

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  27. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions
    • Linked  Data
    • RDF  –  RDFa,  RDF/XML,  JSON-­‐LD,  Turtle,  nTriples
    • Canonical  URIs
    • Schema.org

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  28. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions
    • Linked  Data
    • RDF  –  RDFa,  RDF/XML,  JSON-­‐LD,  Turtle,  nTriples
    • Canonical  URIs
    • Schema.org
    • Backed  and  recognized  by  Google,  Bing,  Yahoo!,  Yandex

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  29. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions
    • Linked  Data
    • RDF  –  RDFa,  RDF/XML,  JSON-­‐LD,  Turtle,  nTriples
    • Canonical  URIs
    • Schema.org
    • Backed  and  recognized  by  Google,  Bing,  Yahoo!,  Yandex
    • Widely  adopted  &  understood  –  20%  of  web

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  30. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions
    • Linked  Data
    • RDF  –  RDFa,  RDF/XML,  JSON-­‐LD,  Turtle,  nTriples
    • Canonical  URIs
    • Schema.org
    • Backed  and  recognized  by  Google,  Bing,  Yahoo!,  Yandex
    • Widely  adopted  &  understood  –  20%  of  web
    fairly  obvious
    y

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  31. Structured  Data  Objectives
    • Linking  with  hubs  of  authority  on  the  web
    • viaf.org  –  persons
    • Library  of  congress  –  subjects
    • Dewey.info  –  classifications
    • Dbpedia  –  most  things
    • Widely  distributed  &  understood
    • Standard  data  access  patterns
    • Common  vocabularies
    • Visibility  in  search  engines
    Conclusions
    • Linked  Data
    • RDF  –  RDFa,  RDF/XML,  JSON-­‐LD,  Turtle,  nTriples
    • Canonical  URIs
    • Schema.org
    • Backed  and  recognized  by  Google,  Bing,  Yahoo!,  Yandex
    • Widely  adopted  &  understood  –  20%  of  web
    fairly  obvious
    y

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  32. Introducing  
    Linked  Data
    Phase  1

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  33. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data

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  34. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities

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  35. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.

    View full-size slide

  36. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things

    View full-size slide

  37. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc

    View full-size slide

  38. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress

    View full-size slide

  39. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress

    View full-size slide

  40. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2

    View full-size slide

  41. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2
    • Model  what  is  of  interest  to  the  Web

    View full-size slide

  42. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2
    • Model  what  is  of  interest  to  the  Web
    • All  our  data  is  important  to  us

    View full-size slide

  43. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2
    • Model  what  is  of  interest  to  the  Web
    • All  our  data  is  important  to  us
    • What  will  draw  people  to  our  resources?

    View full-size slide

  44. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2
    • Model  what  is  of  interest  to  the  Web
    • All  our  data  is  important  to  us
    • What  will  draw  people  to  our  resources?
    • Share  the  way  the  web  does

    View full-size slide

  45. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2
    • Model  what  is  of  interest  to  the  Web
    • All  our  data  is  important  to  us
    • What  will  draw  people  to  our  resources?
    • Share  the  way  the  web  does
    • Linked  Data

    View full-size slide

  46. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2
    • Model  what  is  of  interest  to  the  Web
    • All  our  data  is  important  to  us
    • What  will  draw  people  to  our  resources?
    • Share  the  way  the  web  does
    • Linked  Data
    • Schema.org

    View full-size slide

  47. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2
    • Model  what  is  of  interest  to  the  Web
    • All  our  data  is  important  to  us
    • What  will  draw  people  to  our  resources?
    • Share  the  way  the  web  does
    • Linked  Data
    • Schema.org
    Phase  3

    View full-size slide

  48. Introducing  
    Linked  Data
    Phase  1
    • First  mine  the  data
    • Records  held  in  Marc
    • Identify  the  entities
    • Person,  Organization,  CreativeWork,  etc.
    • Match  strings  to  things
    • People/Organization  names  –  viaf.org,  etc
    • Subjects  –  Library  of  Congress
    Phase  2
    • Model  what  is  of  interest  to  the  Web
    • All  our  data  is  important  to  us
    • What  will  draw  people  to  our  resources?
    • Share  the  way  the  web  does
    • Linked  Data
    • Schema.org
    Phase  3 -­‐      Try  it  out!

    View full-size slide

  49. edition
    author location
    holding
    date  of  publication
    classification
    publisher
    title
    source
    ISBN
    library  data:

    stored  as  records

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  50. edition
    author location
    holding
    date  of  publication
    classification
    publisher
    title
    source
    ISBN
    author location
    holding
    classification
    publisher
    person place
    object concept
    organization work
    library  data:

    stored  as  records
    title

    View full-size slide

  51. person place
    object concept
    organization work

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  52. person place
    object concept
    organization work

    View full-size slide

  53. Google  Knowledge  Graph

    View full-size slide

  54. Knowledge  cards  for  libraries? Google  Knowledge  Graph

    View full-size slide

  55. person place
    object concept
    organization work
    Commercial  data  stored  as  entities

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  56. person place
    object concept
    organization work
    Commercial  data  stored  as  entities

    View full-size slide

  57. person place
    object concept
    organization work
    Commercial  data  stored  as  entities

    View full-size slide

  58. person place
    object concept
    organization work
    Commercial  data  stored  as  entities
    FRBR: Work/Expression
    FRBR: Manifestation

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  59. • Knowledge  cards  
    • Fixes  problem  of  “representative  record”  
    • It’s  what  users  expect  in  discovery
    Entities  and  library  workflows:

    Discovery

    View full-size slide

  60. • Improve  data  quality  
    – Cascading  updates  
    • A  new  approach  to  cataloging  
    – Point  and  click  cataloging  
    – Managing  entities  instead  of  managing  records  
    • Consistent  with  RDA
    Entities  and  library  workflows:

    Cataloging

    View full-size slide

  61. Günter  Grass
    Born:  16  October  1927

    Gdańsk,  Poland  
    German  novelist,  poet,  
    playwright,  illustrator,  
    graphic  artist,  sculptor  and  
    recipient  of  the  1999  Nobel  
    Prize  in  Literature.  
    Works
    Subjects
    Quotes
    Find  Günter  Grass  works  at:

    Libraries  near  me  |  Online  Retailers
    Germany  |  German  literature  |  Historical  fiction

    War  stories  |  Black  humor  |  Fantasy
    “Even  bad  books  are  books  and  therefore  sacred.”—The  Tin  
    Drum

    View full-size slide

  62. Günter  Grass
    Born:  16  October  1927

    Gdańsk,  Poland  
    German  novelist,  poet,  
    playwright,  illustrator,  
    graphic  artist,  sculptor  and  
    recipient  of  the  1999  Nobel  
    Prize  in  Literature.  
    Works
    Subjects
    Quotes
    Find  Günter  Grass  works  at:

    Libraries  near  me  |  Online  Retailers
    Germany  |  German  literature  |  Historical  fiction

    War  stories  |  Black  humor  |  Fantasy
    “Even  bad  books  are  books  and  therefore  sacred.”—The  Tin  
    Drum
    MARC  RECORD

    View full-size slide

  63. Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction

    View full-size slide

  64. Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction
    Person  Editor  

    View full-size slide

  65. Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction
    Person  Editor  
    Person  Authority  
    • Günter  Grass  
    • SameAs  ➾  

    View full-size slide

  66. Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction
    Person  Editor  
    Person  Authority  
    • Günter  Grass  
    • SameAs  ➾  

    LC  NAF

    View full-size slide

  67. Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction

    View full-size slide

  68. Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction
    Work  Editor  

    View full-size slide

  69. Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction
    Work  Editor  
    Work  Authority  
    • Title  
    • Creator  ➾  

    View full-size slide

  70. Expression
    Manifestation  1   Manifestation  2 Manifestation  3
    Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction
    Work  Editor  
    Cascading  
    Updates
    Work  Authority  
    • Title  
    • Creator  ➾  

    View full-size slide

  71. Expression
    Manifestation  1   Manifestation  2 Manifestation  3
    Entities  and  library  workflows:

    Cataloging
    The  Tin  Drum
    Summary:  Acclaimed  as  the  greatest  
    German  novel  since  the  end  of  World  War  II.    
    The  Tin  Drum  is  the  story  of  thirty  year  old  
    Oskar  Matzerath  who  has  lived  through  the  
    long  Nazi  nightmare  and  who  is  being  held  in  
    a  mental  institution.
    Subjects
    Borrowing  Options  
    Ebooks  |  Printed  Books  |  Audio  Books  
    Other  Languages  
    !
    Germany  -­‐  History  |  German  literature  |  Political  fiction
    Work  Editor  
    MARC21  
    Output
    Cascading  
    Updates
    Work  Authority  
    • Title  
    • Creator  ➾  

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  72. Entities  and  library  workflows:

    Other  applications

    View full-size slide

  73. • Interlibrary  Loan  
    – Borrow  at  the  Work  level  
    – Manifestations/Items  are  detail
    Entities  and  library  workflows:

    Other  applications

    View full-size slide

  74. • Interlibrary  Loan  
    – Borrow  at  the  Work  level  
    – Manifestations/Items  are  detail
    • Analytics  
    – Fixes  “holdings  scatter”  across  manifestations
    Entities  and  library  workflows:

    Other  applications

    View full-size slide

  75. • Interlibrary  Loan  
    – Borrow  at  the  Work  level  
    – Manifestations/Items  are  detail
    • Analytics  
    – Fixes  “holdings  scatter”  across  manifestations
    • Other  third  party  applications    
    – Discovery  API  exposes  library  entities
    Entities  and  library  workflows:

    Other  applications

    View full-size slide

  76. Entities  and  library  workflows:

    Web  exposure

    View full-size slide

  77. • Be  found  on  the  web
    Entities  and  library  workflows:

    Web  exposure

    View full-size slide

  78. • Be  found  on  the  web
    • Connect  your  users  to  unique  content
    Entities  and  library  workflows:

    Web  exposure

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  79. • Be  found  on  the  web
    • Connect  your  users  to  unique  content
    • What  the  web  requires  for  web  exposure
    – Aggregation
    – Familiar  structures
    – A  Network  of  Links
    – Entity  Identifiers
    Entities  and  library  workflows:

    Web  exposure

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  80. WorldCat  Entities

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  81. WorldCat  Entities
    Works

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  82. WorldCat  Entities
    Works
    • 197+  million  Work  descriptions  and  URIs  
    • Schema.org  
    • RDF  Data  formats  –  RDF/XML,  Turtle,  Triples,  JSON-­‐LD  
    • Links  to  WorldCat  manifestations  
    • Links  to  Dewey,  LCSH,  LCNAF,  VIAF,  FAST  
    • Open  Data  license  
    • Released  April  2014

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  83. Work Place
    Concept
    Event
    Organization Person
    Cataloging
    Integration  with  the  web
    Cascading  updates More  options
    Intuitive  searching
    Bibliographic  Entities

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  84. Bibliographic  Entities -­‐  In  the  Web  of  Data

    View full-size slide

  85. person place
    object concept
    organization work
    Bibliographic  Entities -­‐  In  the  Web  of  Data

    View full-size slide

  86. person place
    object concept
    organization work
    Entity  Based  Data  Architecture…
    Bibliographic  Entities -­‐  In  the  Web  of  Data

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  87. What  About  Linked  Data?
    https://www.flickr.com/photos/rileyroxx/169900848/

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  88. What  About  Linked  Data?
    What  about  Linked  
    Data?
    Yeah!  –  what  about  
    Linked  Data?
    I  thought  Linked  Data  
    was  going  to  solve  all  
    our  problems!
    https://www.flickr.com/photos/rileyroxx/169900848/

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  89. Linked  Data

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  90. • A  Technology
    • Standard  on  the  Web  –  RDF,  URIs,  Vocabularies
    • Identifying  and  Linking  resources  on  the  Web
    • Important  powerful  enabling  technology
    Linked  Data

    View full-size slide

  91. • A  Technology
    • Standard  on  the  Web  –  RDF,  URIs,  Vocabularies
    • Identifying  and  Linking  resources  on  the  Web
    • Important  powerful  enabling  technology
    • But  only  a  technology…
    Linked  Data

    View full-size slide

  92. • A  Technology
    • Standard  on  the  Web  –  RDF,  URIs,  Vocabularies
    • Identifying  and  Linking  resources  on  the  Web
    • Important  powerful  enabling  technology
    • But  only  a  technology…
         for  the  systems  folks  to  worry  about
    Linked  Data

    View full-size slide

  93. • A  Technology
    • Standard  on  the  Web  –  RDF,  URIs,  Vocabularies
    • Identifying  and  Linking  resources  on  the  Web
    • Important  powerful  enabling  technology
    • But  only  a  technology…
         for  the  systems  folks  to  worry  about
    • Real  benefits  flow  from:
    Entity  Based  Data  Architecture  
    Linked  Data

    View full-size slide

  94. • A  Technology
    • Standard  on  the  Web  –  RDF,  URIs,  Vocabularies
    • Identifying  and  Linking  resources  on  the  Web
    • Important  powerful  enabling  technology
    • But  only  a  technology…
         for  the  systems  folks  to  worry  about
    • Real  benefits  flow  from:
    Entity  Based  Data  Architecture  
    Powered  by  Linked  Data
    Linked  Data

    View full-size slide

  95. Entity  Based  Data  

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  96. Entity  Based  Data  on  the  Web  

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  97. Entity  Based  Data  on  the  Web  

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  98. Entity  Based  Data  on  the  Web  

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  99. Entity  Based  Data  on  the  Web  

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  100. Entity  Based  Data  on  the  Web  
    Knowledge  Graphs

    View full-size slide

  101. Entity  Based  Data  on  the  Web  
    Knowledge  Graphs

    View full-size slide

  102. Entity  Based  Data  on  the  Web  
    Knowledge  Graphs

    View full-size slide

  103. Entity  Based  Data  on  the  Web  
    Knowledge  Graphs

    View full-size slide

  104. Entity  Based  Data  on  the  Web  
    Knowledge  Graphs
    Semantic  Search

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  105. Why  is  the  Web  Adopting  This?

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  106. Why  is  the  Web  Adopting  This?
    (Entities,  Semantic  Search,  Linked  Data)    

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  107. • To  get  their  products/resources  in  front  of  users
    - Next  Generation  SEO
    Why  is  the  Web  Adopting  This?
    (Entities,  Semantic  Search,  Linked  Data)    

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  108. • To  get  their  products/resources  in  front  of  users
    - Next  Generation  SEO
    • It  is  a  shared  approach  from  the  Search  Engines
    - But  not  exclusive  to  them
    Why  is  the  Web  Adopting  This?
    (Entities,  Semantic  Search,  Linked  Data)    

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  109. Syndication  For  Libraries

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  110. Syndication  For  Libraries
    • Aggregate  to  a  central  site  
    - National  Library,  Consortia,  WorldCat.org

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  111. Syndication  For  Libraries
    • Aggregate  to  a  central  site  
    - National  Library,  Consortia,  WorldCat.org
    • Publish  details  to  syndication  partners
    - WorldCat:  Amazon,  Google  Scholar,  EasyBib,  
    EBSCO,  OpenLibrary,  FindMyLibrary,  RedLaser,  
    Yelp,  …

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  112. Syndication  For  Libraries
    • Aggregate  to  a  central  site  
    - National  Library,  Consortia,  WorldCat.org
    • Publish  details  to  syndication  partners
    - WorldCat:  Amazon,  Google  Scholar,  EasyBib,  
    EBSCO,  OpenLibrary,  FindMyLibrary,  RedLaser,  
    Yelp,  …
    • Links  from  aggregators  to  individual  libraries
    - Find  in  a  library  

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  113. Syndication  For  Libraries
    • Aggregate  to  a  central  site  
    - National  Library,  Consortia,  WorldCat.org
    • Publish  details  to  syndication  partners
    - WorldCat:  Amazon,  Google  Scholar,  EasyBib,  
    EBSCO,  OpenLibrary,  FindMyLibrary,  RedLaser,  
    Yelp,  …
    • Links  from  aggregators  to  individual  libraries
    - Find  in  a  library  
                                                                           WorldCat  
    Syndication  
    Year  to  June  2013    
    !
    • 77  Million  referrals  from  partners  
    • 8.7  Million  click-­‐through  to  libraries  

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  114. Syndication  For  Libraries
    • Aggregate  to  a  central  site  
    - National  Library,  Consortia,  WorldCat.org
    • Publish  details  to  syndication  partners
    - WorldCat:  Amazon,  Google  Scholar,  EasyBib,  
    EBSCO,  OpenLibrary,  FindMyLibrary,  RedLaser,  
    Yelp,  …
    • Links  from  aggregators  to  individual  libraries
    - Find  in  a  library  
    Today

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  115. Syndication  For  Libraries
    • Aggregate  to  a  central  site  
    - National  Library,  Consortia,  WorldCat.org
    • Publish  details  to  syndication  partners
    - WorldCat:  Amazon,  Google  Scholar,  EasyBib,  
    EBSCO,  OpenLibrary,  FindMyLibrary,  RedLaser,  
    Yelp,  …
    • Links  from  aggregators  to  individual  libraries
    - Find  in  a  library  
    Today
    Efficient  but  indirect

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  116. Syndication  For  Libraries

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  117. Syndication  For  Libraries
    On  the  Web  of  Data

    View full-size slide

  118. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    On  the  Web  of  Data

    View full-size slide

  119. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    - Linked  Data  in  local  discovery  interfaces
    On  the  Web  of  Data

    View full-size slide

  120. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    - Linked  Data  in  local  discovery  interfaces
    - Links  to  authoritative  hubs  –  set  global  context
    • VIAF,  LoC,  WorldCat  Works,  …
    On  the  Web  of  Data

    View full-size slide

  121. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    - Linked  Data  in  local  discovery  interfaces
    - Links  to  authoritative  hubs  –  set  global  context
    • VIAF,  LoC,  WorldCat  Works,  …
    • Recognized  and  identified  on  the  Web
    On  the  Web  of  Data

    View full-size slide

  122. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    - Linked  Data  in  local  discovery  interfaces
    - Links  to  authoritative  hubs  –  set  global  context
    • VIAF,  LoC,  WorldCat  Works,  …
    • Recognized  and  identified  on  the  Web
    - Google,  Bing,  Yahoo!,  Yandex,  etc.
    - Where  our  users  are!
    On  the  Web  of  Data

    View full-size slide

  123. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    - Linked  Data  in  local  discovery  interfaces
    - Links  to  authoritative  hubs  –  set  global  context
    • VIAF,  LoC,  WorldCat  Works,  …
    • Recognized  and  identified  on  the  Web
    - Google,  Bing,  Yahoo!,  Yandex,  etc.
    - Where  our  users  are!
    • Users  referred  directly  to  resources  in  the  library  
    On  the  Web  of  Data

    View full-size slide

  124. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    - Linked  Data  in  local  discovery  interfaces
    - Links  to  authoritative  hubs  –  set  global  context
    • VIAF,  LoC,  WorldCat  Works,  …
    • Recognized  and  identified  on  the  Web
    - Google,  Bing,  Yahoo!,  Yandex,  etc.
    - Where  our  users  are!
    • Users  referred  directly  to  resources  in  the  library  
    On  the  Web  of  Data
    Direct  and  Effective

    View full-size slide

  125. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    - Linked  Data  in  local  discovery  interfaces
    - Links  to  authoritative  hubs  –  set  global  context
    • VIAF,  LoC,  WorldCat  Works,  …
    • Recognized  and  identified  on  the  Web
    - Google,  Bing,  Yahoo!,  Yandex,  etc.
    - Where  our  users  are!
    • Users  referred  directly  to  resources  in  the  library  
    On  the  Web  of  Data
    Direct  and  Effective

    View full-size slide

  126. Syndication  For  Libraries
    • Individual  libraries  publish  resource  data
    - Linked  Data  in  local  discovery  interfaces
    - Links  to  authoritative  hubs  –  set  global  context
    • VIAF,  LoC,  WorldCat  Works,  …
    • Recognized  and  identified  on  the  Web
    - Google,  Bing,  Yahoo!,  Yandex,  etc.
    - Where  our  users  are!
    • Users  referred  directly  to  resources  in  the  library  
    On  the  Web  of  Data
    Direct  and  Effective

    View full-size slide

  127. Tell them about our resources…
    http://www.flickr.com/photos/boston_public_library/6220572487

    View full-size slide

  128. Tell them about our resources…
    …using their language and methods
    http://www.flickr.com/photos/boston_public_library/6220572487

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  129. Has it been a waste of time?

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  130. Has it been a waste of time?
    Am I saying….

    View full-size slide

  131. Has it been a waste of time?
    Throw it all away and use…
    Am I saying….

    View full-size slide

  132. Has it been a waste of time?
    Throw it all away and use…
    No!….
    Am I saying….

    View full-size slide

  133. Don't throw the baby out with the bath water

    View full-size slide

  134. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph

    View full-size slide

  135. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph
    Entification

    View full-size slide

  136. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph
    Entification
    Identify  the  entities  in  your  data:

    View full-size slide

  137. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph
    Entification
    Identify  the  entities  in  your  data:
    • Describe  them  using  appropriate  vocabularies

    View full-size slide

  138. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph
    Entification
    Identify  the  entities  in  your  data:
    • Describe  them  using  appropriate  vocabularies
    • Describe  the  relationships  between  them

    View full-size slide

  139. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph
    Entification
    Identify  the  entities  in  your  data:
    • Describe  them  using  appropriate  vocabularies
    • Describe  the  relationships  between  them
    • Place  them  in  a  global  context  –  link  to  authoritative  hubs

    View full-size slide

  140. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph
    Entification
    Identify  the  entities  in  your  data:
    • Describe  them  using  appropriate  vocabularies
    • Describe  the  relationships  between  them
    • Place  them  in  a  global  context  –  link  to  authoritative  hubs
    • Liberate  the  value  in  your  data!

    View full-size slide

  141. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph
    Entification
    Identify  the  entities  in  your  data:
    • Describe  them  using  appropriate  vocabularies
    • Describe  the  relationships  between  them
    • Place  them  in  a  global  context  –  link  to  authoritative  hubs
    • Liberate  the  value  in  your  data!
    ENTITIES

    View full-size slide

  142. Don't throw the baby out with the bath water
    Sharing  for  discovery  on  the  web  
    As  part  of  a  Global  Knowledge  Graph
    Entification
    Identify  the  entities  in  your  data:
    • Describe  them  using  appropriate  vocabularies
    • Describe  the  relationships  between  them
    • Place  them  in  a  global  context  –  link  to  authoritative  hubs
    • Liberate  the  value  in  your  data!
    And  also  share  them  on  the  web  –  a  job  for  Schema.org
    ENTITIES

    View full-size slide

  143. Why  Catalog?

    View full-size slide

  144. Why  Catalog?
    So  we  can  find  things

    View full-size slide

  145. Why  Catalog?
    So  we  can  find  things
    Why  Share  on  the  Web?

    View full-size slide

  146. Why  Catalog?
    So  we  can  find  things
    Why  Share  on  the  Web?
    So  today’s  users  
    can  find  our  things

    View full-size slide

  147. OCLC  Entity  Based  Data  Strategy

    View full-size slide

  148. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    2010

    View full-size slide

  149. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    2012  
    2010

    View full-size slide

  150. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    2012  
    2013
    2010

    View full-size slide

  151. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    2012  
    2014
    2013
    2010

    View full-size slide

  152. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    2013
    2010

    View full-size slide

  153. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    2013
    2010

    View full-size slide

  154. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    2013
    2010

    View full-size slide

  155. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    2013
    2010

    View full-size slide

  156. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products               ➢New  Services
    2013
    2016
    2010

    View full-size slide

  157. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products              
    ➢Continuing  Evangelism
    ➢New  Services
    ➢Continuing  Innovation
    2013
    2016
    2010

    View full-size slide

  158. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products              
    ➢Continuing  Evangelism
    ➢New  Services
    ➢Continuing  Innovation
    2013
    2016
    2010

    View full-size slide

  159. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products              
    ➢Continuing  Evangelism
    ➢New  Services
    ➢Continuing  Innovation
    2013
    2016
    2010

    View full-size slide

  160. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products              
    ➢Continuing  Evangelism
    ➢New  Services
    ➢Continuing  Innovation
    2013
    2016
    2010

    View full-size slide

  161. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products              
    ➢Continuing  Evangelism
    ➢New  Services
    ➢Continuing  Innovation
    2013
    2016
    2010

    View full-size slide

  162. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products              
    ➢Continuing  Evangelism
    ➢New  Services
    ➢Continuing  Innovation
    2013
    2016
    2010

    View full-size slide

  163. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products              
    ➢Continuing  Evangelism
    ➢New  Services
    ➢Continuing  Innovation
    2013
    2016
    2010

    View full-size slide

  164. OCLC  Entity  Based  Data  Strategy
    ✓VIAF,  ISNI,  FAST  Publish  Linked  Data
    ✓WorldCat.org  Linked  Data  Release  –  using  Schema.org
    ✓Data  mining  of  WorldCat  resources
    ✓WorldCat  Works  Released  –  using  Schema.org
    ✓Schema.org  added  to  VIAF  RDF
    2012  
    2014
    ➢Application  Integration
    ➢WorldCat  Discovery
    ➢Analytics
    ➢Discovery  API
    ➢Cataloging
    2015
    ➢More  Entities  Released
    ➢Person
    ➢Organization
    ➢Event
    ➢Concept
    ➢New  Products              
    ➢Continuing  Evangelism
    ➢New  Services
    ➢Continuing  Innovation
    2013
    2016
    2010

    View full-size slide

  165. Where  are  our  users?

    View full-size slide

  166. Where  are  our  users?

    View full-size slide

  167. 6 excellent SWIB's
    !
    Many great LD Projects

    View full-size slide

  168. but
    6 excellent SWIB's
    !
    Many great LD Projects

    View full-size slide

  169. but
    6 excellent SWIB's
    !
    Many great LD Projects
    If  users  can't  discover  our  resources

    View full-size slide

  170. but
    6 excellent SWIB's
    !
    Many great LD Projects
    If  users  can't  discover  our  resources
    What  is  the  point?

    View full-size slide

  171. 6 excellent SWIB's
    !
    Many great LD Projects

    View full-size slide

  172. 6 excellent SWIB's
    !
    Many great LD Projects
    5

    View full-size slide

  173. 6 excellent SWIB's
    !
    Many great LD Projects
    7
    5
    more
    y

    View full-size slide

  174. 6 excellent SWIB's
    !
    Many great LD Projects
    7
    5
    more
    y

    View full-size slide

  175. Entification:  The  Route  
    to  Useful  Library  Data
    Richard  Wallis  
    Technology  Evangelist  
    @rjw

    View full-size slide

  176. Entification:  The  Route  
    to  Useful  Library  Data
    Richard  Wallis  
    Technology  Evangelist  
    @rjw
    http://slideshare.net/rjw

    View full-size slide