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5 Cool Things You Didn't Know You
Could Do With Metadata
Patricia.Payton@ bowker.com
@Metadata24X7
5 Cool Things
1. Recommend
2. Visualize
3. Diagnose
4. Acknowledge
5. Automate
1
Maybe You Know Some If You…
• Create and send ONIX
• Use descriptive metadata
• Browse your customer’s sites
• Try to plus...
Still You Can Still Learn…
• ONIX Acknowledgement
• ISNI
• Educational Taxonomy
• Schema.org
3
And Much More!
1. Recommend
4
Recommend
In Libraries
5
6
Curation Similar Titles
7
Curation of Content Descriptors
Recommend
By Booksellers
8
Curation of Content
9
10
Merchandising Via Metadata
Recommend
By Discovery Services
11
Word Clouds
12
Curation of Content
13
User Curation
14
Recommend
In ONIX
15
16
Plus Selling
<b012>WW</b012>
<containeditem>
<productidentifier>
<b221>15</b221>
<b244>9781597163491</b244>
</productid...
17
<relatedproduct>
<h208>13</h208>
<productidentifier>
<b221>15</b221>
<b244>9780103283450
</b244>
</relatedproduct>
Plus...
18
EDTX120
Compare points of view
EDTX620
Read literary text
Educational Metadata
2. Visualize
19
Visualize
Title Metadata
20
21
Subject Metadata
22
Geolocation Metadata
23
Publication Date Search
7/1/20151/1/2000
Visualize
Author Metadata
24
Author Metadata
25
26
Contributor Authorities
27
Collating Works with ISNI
28
Related Contributors
3. Diagnose
29
Diagnose
Data Issues
30
31
Internal Data Validation
Audience/Age
Mismatch ISBN Count
Upper Age Trade Audience
7 3
8 4
9 3
10 1
12 7
17 1
Grand Tot...
32
Identify Trends
EDUCATION / General
FICTION / Literary
JUVENILE FICTION /
Humorous Stories
Diagnose
ONIX
33
34
File Validation
Product Certification
35
4. Acknowledge
36
Acknowledge
Data Receipt
37
38
External Data Validation
• Legal Issues
• Removing data from systems
• Need to trace the source of error
39
Urgent Changes
Acknowledge
Data Processing
40
41
<ONIXMessageAcknowledgement release="3.0"
xmlns="http://ns.editeur.org/
onix/3.0/acknowledgement/reference">
<Header> <...
42
<supplydetail>
<j137>EPIC Press</j137>
<j141>IP</j141>
<j142>20150901</j142>
<price>
<j148>01</j148>
<j151>755.00</j151...
5. Automate
43
Automate
By Tagging
44
Tagging
45
Title
Header 1
Text
46
Chunking Content
47
Automated Bibliographies
Citation Tagging
48
Automate
By Indexing
49
50
Machine Analysis
Web-scale Discovery Services
51
Automate
By Linking
52
53
Using ONIX to Improve SEO
54
External Linking
5 Cool Things
1. Recommend
2. Visualize
3. Diagnose
4. Acknowledge
5. Automate
55
Patricia.Payton@ bowker.com
@Metadata24X7
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5 Cool Things You Didn't Know You Could Do With Metadata

This was originally presented at BISG Making Information Pay 2015 as part of IDPF and BEA. This presentation covers 5 metadata themes--recommend, visualize, diagnose, acknowledge, and automate--showing cool uses of metadata on websites geared toward readers and through ONIX.

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5 Cool Things You Didn't Know You Could Do With Metadata

  1. 1. 5 Cool Things You Didn't Know You Could Do With Metadata Patricia.Payton@ bowker.com @Metadata24X7
  2. 2. 5 Cool Things 1. Recommend 2. Visualize 3. Diagnose 4. Acknowledge 5. Automate 1
  3. 3. Maybe You Know Some If You… • Create and send ONIX • Use descriptive metadata • Browse your customer’s sites • Try to plus sell books to your customers 2
  4. 4. Still You Can Still Learn… • ONIX Acknowledgement • ISNI • Educational Taxonomy • Schema.org 3 And Much More!
  5. 5. 1. Recommend 4
  6. 6. Recommend In Libraries 5
  7. 7. 6 Curation Similar Titles
  8. 8. 7 Curation of Content Descriptors
  9. 9. Recommend By Booksellers 8
  10. 10. Curation of Content 9
  11. 11. 10 Merchandising Via Metadata
  12. 12. Recommend By Discovery Services 11
  13. 13. Word Clouds 12
  14. 14. Curation of Content 13
  15. 15. User Curation 14
  16. 16. Recommend In ONIX 15
  17. 17. 16 Plus Selling <b012>WW</b012> <containeditem> <productidentifier> <b221>15</b221> <b244>9781597163491</b244> </productidentifier> <b012>DG</b012> </containeditem>
  18. 18. 17 <relatedproduct> <h208>13</h208> <productidentifier> <b221>15</b221> <b244>9780103283450 </b244> </relatedproduct> Plus Selling
  19. 19. 18 EDTX120 Compare points of view EDTX620 Read literary text Educational Metadata
  20. 20. 2. Visualize 19
  21. 21. Visualize Title Metadata 20
  22. 22. 21 Subject Metadata
  23. 23. 22 Geolocation Metadata
  24. 24. 23 Publication Date Search 7/1/20151/1/2000
  25. 25. Visualize Author Metadata 24
  26. 26. Author Metadata 25
  27. 27. 26 Contributor Authorities
  28. 28. 27 Collating Works with ISNI
  29. 29. 28 Related Contributors
  30. 30. 3. Diagnose 29
  31. 31. Diagnose Data Issues 30
  32. 32. 31 Internal Data Validation Audience/Age Mismatch ISBN Count Upper Age Trade Audience 7 3 8 4 9 3 10 1 12 7 17 1 Grand Total 19
  33. 33. 32 Identify Trends EDUCATION / General FICTION / Literary JUVENILE FICTION / Humorous Stories
  34. 34. Diagnose ONIX 33
  35. 35. 34 File Validation
  36. 36. Product Certification 35
  37. 37. 4. Acknowledge 36
  38. 38. Acknowledge Data Receipt 37
  39. 39. 38 External Data Validation
  40. 40. • Legal Issues • Removing data from systems • Need to trace the source of error 39 Urgent Changes
  41. 41. Acknowledge Data Processing 40
  42. 42. 41 <ONIXMessageAcknowledgement release="3.0" xmlns="http://ns.editeur.org/ onix/3.0/acknowledgement/reference"> <Header> <Sender> <SenderName>Retailer SA</SenderName> </Sender><Addressee> <AddresseeName>Publisher GmbH</AddresseeName> </Addressee><MessageNumber>571</MessageNumber> <SentDateTime>20150508T1510Z</SentDateTime> <AcknowledgementNumber>1</AcknowledgementNumber> <AcknowledgementSentDateTime>20150508T1805Z </AcknowledgementSentDateTime> <MessageStatus>00</MessageStatus> <MessageStatusDate> <MessageStatusDateRole>01</MessageStatusDateRole> <Date dateformat="00">20150511</Date> </MessageStatusDate> </Header><NoProduct/></ONIXMessageAcknowledgement> ONIX Acknowledgement
  43. 43. 42 <supplydetail> <j137>EPIC Press</j137> <j141>IP</j141> <j142>20150901</j142> <price> <j148>01</j148> <j151>755.00</j151> <j152>USD</j152> </price> </supplydetail> </product> Update Everywhere at Once
  44. 44. 5. Automate 43
  45. 45. Automate By Tagging 44
  46. 46. Tagging 45 Title Header 1 Text
  47. 47. 46 Chunking Content
  48. 48. 47 Automated Bibliographies
  49. 49. Citation Tagging 48
  50. 50. Automate By Indexing 49
  51. 51. 50 Machine Analysis
  52. 52. Web-scale Discovery Services 51
  53. 53. Automate By Linking 52
  54. 54. 53 Using ONIX to Improve SEO
  55. 55. 54 External Linking
  56. 56. 5 Cool Things 1. Recommend 2. Visualize 3. Diagnose 4. Acknowledge 5. Automate 55
  57. 57. Patricia.Payton@ bowker.com @Metadata24X7

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