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.

Transcript

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

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8. 6 excellent SWIB's
   

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9. 6 excellent SWIB's
   Many great LD Projects
   So today …..
   Where are we on the web?
   

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10. Where are we on the web?
    

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19. Irrelevant!
    Invisible on the web!
    

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20. Irrelevant!
    Invisible on the web!
    

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

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23. •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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24. 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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25. •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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26. ≈  2  Billion    
    Records
    

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27. ≈  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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29. Structured  Data  Objectives
    

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

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

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

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33. 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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34. 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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35. 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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36. 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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37. 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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38. 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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39. 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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40. 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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41. 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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42. 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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43. 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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44. 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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45. 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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46. 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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47. 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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48. View Slide

49. Introducing  
    Linked  Data
    Phase  1
    

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

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

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

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53. 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 Slide

54. 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 Slide

55. 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
    

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56. 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 Slide

57. 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
    

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58. 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 Slide

59. 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 Slide

60. 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 Slide

61. 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 Slide

62. 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 Slide

63. 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 Slide

64. 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 Slide

65. 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!
    

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66. View Slide

67. View Slide

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

    stored  as  records
    

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69. 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
    

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70. person place
    object concept
    organization work
    

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71. person place
    object concept
    organization work
    

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72. View Slide

73. Google  Knowledge  Graph
    

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74. Knowledge  cards  for  libraries? Google  Knowledge  Graph
    

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

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

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

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

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

    Discovery
    

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80. • 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
    

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81. 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
    

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82. 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
    

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83. 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
    

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84. 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  
    

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85. 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  ➾  
    
    

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86. 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
    

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87. 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
    

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88. 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  
    

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89. 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  ➾  
    

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90. 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  ➾  
    

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91. 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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92. Entities  and  library  workflows:

    Other  applications
    

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

    Other  applications
    

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

    Other  applications
    

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95. • 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
    

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96. Entities  and  library  workflows:

    Web  exposure
    

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

    Web  exposure
    

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

    Web  exposure
    

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99. • 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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100. WorldCat  Entities
     

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101. WorldCat  Entities
     Works
     

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102. 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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103. View Slide

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105. View Slide

106. View Slide

107. View Slide

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

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109. Bibliographic  Entities -­‐  In  the  Web  of  Data
     

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

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

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

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113. 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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114. Linked  Data
     

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

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116. • 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
     

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117. • 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
     

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118. • 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
     

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119. • 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
     

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120. Entity  Based  Data  
     

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121. Entity  Based  Data  on  the  Web  
     

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122. Entity  Based  Data  on  the  Web  
     

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123. Entity  Based  Data  on  the  Web  
     

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124. Entity  Based  Data  on  the  Web  
     

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125. Entity  Based  Data  on  the  Web  
     Knowledge  Graphs
     

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126. Entity  Based  Data  on  the  Web  
     Knowledge  Graphs
     

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127. Entity  Based  Data  on  the  Web  
     Knowledge  Graphs
     

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128. Entity  Based  Data  on  the  Web  
     Knowledge  Graphs
     

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

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130. Why  is  the  Web  Adopting  This?
     

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

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132. • 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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133. • 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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134. View Slide

135. Syndication  For  Libraries
     

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

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137. 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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138. 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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139. 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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140. 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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141. 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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142. Syndication  For  Libraries
     

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143. Syndication  For  Libraries
     On  the  Web  of  Data
     

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

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

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146. 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
     

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147. 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
     

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148. 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 Slide

149. 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 Slide

150. 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 Slide

151. 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 Slide

152. 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
     

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

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

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155. View Slide

156. Has it been a waste of time?
     

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

     View Slide

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

     View Slide

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

     View Slide

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

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

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

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163. 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:
     

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164. 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 Slide

165. 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 Slide

166. 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 Slide

167. 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 Slide

168. 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 Slide

169. 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
     

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170. View Slide

171. Why  Catalog?
     

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172. Why  Catalog?
     So  we  can  find  things
     

     View Slide

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

     View Slide

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

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175. OCLC  Entity  Based  Data  Strategy
     

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

     View Slide

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

     View Slide

178. 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 Slide

179. 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 Slide

180. 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 Slide

181. 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 Slide

182. 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 Slide

183. 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 Slide

184. 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 Slide

185. 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 Slide

186. 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 Slide

187. 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 Slide

188. 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 Slide

189. 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 Slide

190. 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 Slide

191. 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 Slide

192. 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
     

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193. Where  are  our  users?
     

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194. Where  are  our  users?
     

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195. 6 excellent SWIB's
     !
     Many great LD Projects
     

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

     View Slide

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

     View Slide

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

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199. 6 excellent SWIB's
     !
     Many great LD Projects
     

     View Slide

200. 6 excellent SWIB's
     !
     Many great LD Projects
     5
     

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201. 6 excellent SWIB's
     !
     Many great LD Projects
     7
     5
     more
     y
     

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202. 6 excellent SWIB's
     !
     Many great LD Projects
     7
     5
     more
     y
     

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

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

     View Slide