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NISO Two Part Webinar:
Is Granularity the Next Discovery Frontier?
Part 1: Supporting Direct Access to Increasingly
Granul...
Metadata with
Levels of Description
Myung-Ja (MJ) Han
Metadata Librarian
University of Illinois at Urbana-Champaign
23/11/...
Metadata is …
Prime sources of information to:
• Organize
• Manage
• Provide access to resources
• Preserve library resour...
00667cam a2200229Ii
450000100080000000500170000800800410002503500230006604
00023000890350013001120350016001250900022001410...
MARC
• MARC Format Record
- has been a cataloging tool in the library
community since the 1960’s
- has more than 1,900 fie...
Changes - Environments
• Libraries have lost their place as primary
information providers (Coyle & Hillmann, 2007)
• Users...
Changes - Metadata
• Metadata
- contains more than descriptive information
- is harvested and converted
- is provided by v...
“Virtually any content we digitize and make
available to our clientele requires metadata for
discovery and access.”
(Tenna...
Metadata Should be created in
different levels of granularity
to support granular levels of access!
3/11/2015
NISO Webinar...
Different Levels of Access
• Volume on a shelf
• Chapter of a book
• Article of a journal issue
• Special unit of a book
3...
Different Levels of Metadata
• Book/Journal title
• Chapter
• Article
• Special unit of a book
• And more…
3/11/2015
NISO ...
Granularity of Metadata I
• Emerging needs
–Meet users’ needs to find and use
resources
–Support the library’s discovery s...
3/11/2015
NISO Webinar on Supporting Direct Access
to Increasingly Granular Chunks of Content
13
?
3/11/2015
NISO Webinar on Supporting Direct Access
to Increasingly Granular Chunks of Content
14
Riley, Jennifer. (2010).“...
Granularity of Elements
• MARC
100 1 _ $a Last name, First name. $d 1111-1222, $e role.
• TEI
<name type="person">First na...
<dc:title>1818-1918, a hundred years of Sunday school history in Illinois; a mosaic.</dc:title>
<dc:creator>Mills, Andrew ...
Extensibility of Element
“Schemas allow users to extend the
elements set to meet the local use.”
3/11/2015
NISO Webinar on...
Granularity of Values
How to add subject headings?
•20% rule
•Rule of three
•Rule of four
Does this serve well in resource...
Granularity of Metadata II
• Creating/extending metadata schemas
–*Assess the granularity of access points
–*Develop a new...
3/11/2015
NISO Webinar on Supporting Direct Access
to Increasingly Granular Chunks of Content
20
3/11/2015
NISO Webinar on Supporting Direct Access
to Increasingly Granular Chunks of Content
21
Book Emblem Pictura
3/11/2015
NISO Webinar on Supporting Direct
Access to Increasingly Granular Chunks
of Content
22
3/11/2015
NISO Webinar on Supporting Direct
Access to Increasingly Granular Chunks
of Content
23
3/11/2015
NISO Webinar on Supporting Direct Access
to Increasingly Granular Chunks of Content
24
<biblioDesc>
<mods>
<mods...
3/11/2015
NISO Webinar on Supporting Direct Access
to Increasingly Granular Chunks of Content
25
<copyDesc>
<copyID>uiu289...
3/11/2015
NISO Webinar on Supporting Direct Access
to Increasingly Granular Chunks of Content
26
<emblem xmlns:rdf=http://...
3/11/2015
NISO Webinar on Supporting Direct
Access to Increasingly Granular Chunks
of Content
27
Metadata
• Involves designing data model
• Is a highly collaborative effort
–Scholars/users
–Domain specialists
–Metadata/...
3/11/2015
NISO Webinar on Supporting Direct Access
to Increasingly Granular Chunks of Content
29
New
Metadata
Schema
Catal...
Images
• Building Blocks (Attribution-ShareAlike 2.0 Generic (CC BY-SA
2.0))
http://www.flickr.com/photos/bdesham/24324006...
References
• Coyle, K., & Hillmann, D. (2007). Resource Description and Access (RDA).
D-Lib Magazine, 13(1/2). doi:10.1045...
Is Granularity the Next
Discovery Frontier?
Granular Discovery: User
Challenges and Opportunities
Tito Sierra
Director of ...
EBSCO Discovery Service
Agenda
• The Evolution of Library Discovery
• Discovery in the Age of Google
• Metadata and Granul...
EBSCO Discovery Service
The Evolution of Library Discovery
EBSCO Discovery Service
The Evolution of Library Discovery
Library search has come a long way
• OPACs
• Online Research Da...
EBSCO Discovery Service
The Evolution of Library Discovery
From siloed discovery to unified discovery
• Articles / e-journ...
EBSCO Discovery Service
The Evolution of Library Discovery
Supporting a variety of discovery needs
• Known-item book and a...
EBSCO Discovery Service
Discovery in the Age of Google
EBSCO Discovery Service
User Expectations for Search
EBSCO Discovery Service
User Expectations for Search
Shaped by popular search engines
• Support basic keyword search
• Dee...
EBSCO Discovery Service
Findings from EDS User Research
Observation Implication
Keyword search most
common
Discovery servi...
EBSCO Discovery Service
The Discovery Service Challenge
Despite major evolutions in library search,
libraries, publishers,...
EBSCO Discovery Service
The Discovery Service Advantage
One advantage that library discovery
services have over general pu...
EBSCO Discovery Service
Metadata and Granular Discovery
EBSCO Discovery Service
Metadata, Metadata, Metadata
EBSCO Discovery Service
Metadata, Metadata, Metadata
EBSCO Discovery Service
Metadata, Metadata, Metadata
EBSCO Discovery Service
Metadata, Metadata, Metadata
• Citation metadata
– Title, Authors, Publication Date, Volume, Issue...
EBSCO Discovery Service
Metadata-centered Approaches to
Granular Discovery
Advanced Search
Advanced Search
Advanced search options:
 Single fielded search
 Title
 Author
 Subject Terms
 Multi-fielded search
...
Faceted Search
Faceted Search
EBSCO Discovery Service
Faceted Search
EBSCO Discovery Service
Metadata-centered Approaches
Advanced Search and Faceted Search are
powerful tools—for those who k...
EBSCO Discovery Service
User-centered Approaches to
Granular Discovery
EBSCO Discovery Service
User-centered Approaches
Anticipate end user intent using clues from
the user query and user conte...
Research Starters
Topic overviews for broad
topical queries.
Publication Title Placard (Beta)
Journal name searched,
exact match found.
Publication match based
on customer’s holdings.
EBSCO Discovery Service
Concluding Thoughts
EBSCO Discovery Service
Metadata Necessary But Insufficient
Supporting access to increasingly granular
chunks of content w...
EBSCO Discovery Service
Areas for Future Investment
• Deepen analysis of usage data to better
understand user context and ...
EBSCO Discovery Service
Discussion / Q&A
From Unstructured Content
to Granular Insights
Daniel Mayer
VP Product & Marketing
daniel.mayer@temis.com
Copyright © 2012 TEMIS - All Rights Reserved - Slide 65
Pioneer of Textual Big Data since 2000
• 20 languages
• In product...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 66
Key customers in the Information Industry
STM, Legal, B2B, Trade, ...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 67
Textual Big Data
Challenge
• News
• Market Studies
• Economic Data...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 68
• Save time
with quick & easy access
to the most relevant
• Improv...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 69
Textual Big Data
How to seize these opportunities ?
by adding stru...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 70
How do you structure ?
We report a 52 year-old man presenting an a...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 71
A case of hair loss induced by carbamazepine
Kohno Y, Ishii A, Sho...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 72
Extraction
Luxid®
Annotation
Server
How does this help ?
Exploitin...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 73
Search
Engine
Index
De
Recherche
Index
IndexingExtraction
Luxid®
A...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 74
Applications
Search
Analysis
Visualization
Facets
Recommendations
...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 75
Examples
Copyright © 2012 TEMIS - All Rights Reserved - Slide 76
Facetted search/navigation
Copyright © 2012 TEMIS - All Rights Reserved - Slide 77
Sources/Content Types
Scan Types
Anatomical Regions
Pathologies / ...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 78
Facetted search/navigation
Copyright © 2012 TEMIS - All Rights Reserved - Slide 79
Nature of the offense
Nature of the sentence
Numerical data
regard...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 80
………
Semantic Shortcuts
Copyright © 2012 TEMIS - All Rights Reserved - Slide 81
Corresponding
Scans & Illustrations
Differential Diagnosis
Support...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 82
Copyright © 2009 TEMIS - All Rights Reserved - Slide 82
Topic Page
Copyright © 2012 TEMIS - All Rights Reserved - Slide 83
Topical Feed
Copyright © 2012 TEMIS - All Rights Reserved - Slide 84
Topic Page
Copyright © 2012 TEMIS - All Rights Reserved - Slide 85
Smart Snippets
Copyright © 2012 TEMIS - All Rights Reserved - Slide 86
Semantic Analytics
Competitive Intelligence - Product/Supplier map...
Copyright © 2012 TEMIS - All Rights Reserved - Slide 87
Semantic Analytics
Analytics – Corporate Relationships
Copyright © 2012 TEMIS - All Rights Reserved - Slide 88
Semantic Analytics
Analytics – Staff Map
Copyright © 2012 TEMIS - All Rights Reserved - Slide 89
Delivery in the workflow
Thank You
Your Questions
Daniel Mayer
VP Product & Marketing
daniel.mayer@temis.com
NISO Webinar • March 11, 2015
Questions?
All questions will be posted with presenter answers on
the NISO website following...
Thank you for joining us today.
Please take a moment to fill out the brief online survey.
We look forward to hearing from ...
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NISO Two Part Webinar: Is Granularity the Next Discovery Frontier? Part 1: Supporting Direct Access to Increasingly Granular Chunks of Content

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NISO Two Part Webinar:
Is Granularity the Next Discovery Frontier?
Part 1: Supporting Direct Access to Increasingly Granular Chunks of Content

Working with Metadata Challenges to Support Granular Levels of Access and Descriptions
Myung-Ja (MJ) Han, Metadata Librarian University of Illinois at Urbana-Champaign Urbana, Illinois

Granular Discovery: User Experience Challenges and Opportunities
Tito Sierra, Director of Product Management, EBSCO Information Services

From Unstructured Content to Granular Insights
Daniel Mayer, Vice President of Product & Marketing, TEMIS

Published in: Education
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NISO Two Part Webinar: Is Granularity the Next Discovery Frontier? Part 1: Supporting Direct Access to Increasingly Granular Chunks of Content

  1. 1. NISO Two Part Webinar: Is Granularity the Next Discovery Frontier? Part 1: Supporting Direct Access to Increasingly Granular Chunks of Content Wednesday, March 11, 2015 Speakers: Myung-Ja (MJ) Han, Metadata Librarian, University of Illinois at Urbana-Champaign Urbana Tito Sierra, Director of Product Management, EBSCO Information Services Daniel Mayer, Vice President of Product & Marketing, TEMIS http://www.niso.org/news/events/2015/webinars/granularity_pt1/
  2. 2. Metadata with Levels of Description Myung-Ja (MJ) Han Metadata Librarian University of Illinois at Urbana-Champaign 23/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content
  3. 3. Metadata is … Prime sources of information to: • Organize • Manage • Provide access to resources • Preserve library resources Access and Management 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 3
  4. 4. 00667cam a2200229Ii 450000100080000000500170000800800410002503500230006604 000230008903500130011203500160012509000220014104900090 016310000350017224501080020726000380031530000190035350 000320037291000120040499400120041691000090042826241082 0030807121329.0900530s1841 enk 000 1 eng d a(OCoLC)ocm03535290 aSUCcSUCdOCLdUIU 9ARY-4606 9UC 12037257 aPR4058b.S65 1841 aUIUU1 aIngoldsby, Thomas,d1788-1845.10aSome account of my cousin Nicholas /cby Tomas Igoldsby, esq. ; to which is added, The rubber of life. aLondon :bRichard Bentley,c1841. a3 v. ;c19 cm. aFirst edition. Sadleir 157. arcp3356 a02bUIU aMARS Localized card cataloging Library of Congress’ card service MARC 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 4
  5. 5. MARC • MARC Format Record - has been a cataloging tool in the library community since the 1960’s - has more than 1,900 fields - has made libraries move towards the Computer Age (Tennant, 2004) 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 5
  6. 6. Changes - Environments • Libraries have lost their place as primary information providers (Coyle & Hillmann, 2007) • Users’ search behaviors have changed • Printed book is no longer the only major vehicle for scholarly communication (Sandler, 2005) • Increase in diverse formats/web-based information resources 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 6
  7. 7. Changes - Metadata • Metadata - contains more than descriptive information - is harvested and converted - is provided by vendors and others - is enhanced by users - should support discovery service 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 7
  8. 8. “Virtually any content we digitize and make available to our clientele requires metadata for discovery and access.” (Tennant, 2002, p. 32) 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 8
  9. 9. Metadata Should be created in different levels of granularity to support granular levels of access! 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 9
  10. 10. Different Levels of Access • Volume on a shelf • Chapter of a book • Article of a journal issue • Special unit of a book 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 10
  11. 11. Different Levels of Metadata • Book/Journal title • Chapter • Article • Special unit of a book • And more… 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 11
  12. 12. Granularity of Metadata I • Emerging needs –Meet users’ needs to find and use resources –Support the library’s discovery services –Increase interest and development of digital humanities Need granular levels of metadata! 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 12
  13. 13. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 13 ?
  14. 14. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 14 Riley, Jennifer. (2010).“Seeing Standards: A Visualization of the Metadata Universe.” http://www.dlib.indiana.edu/~jenlrile/metadatamap/
  15. 15. Granularity of Elements • MARC 100 1 _ $a Last name, First name. $d 1111-1222, $e role. • TEI <name type="person">First name and Last name</name> or, <author>Last name, First name.</author> • Dublin Core <dc:creator>Last name, First name. Date. </dc:creator> • MODS <name type=”personal”> <namePart type=”given”>Last name</namePart> <namePart type=”family”>First name </namePart> <role> <roleTerm type=”code” authority=”marcrelator”>aut</roleTerm> <roleTerm type=”text” authority=”marcrelator”>author</roleTerm> </role> </name> 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 15
  16. 16. <dc:title>1818-1918, a hundred years of Sunday school history in Illinois; a mosaic.</dc:title> <dc:creator>Mills, Andrew H.,1851- </dc:creator> <dc:type>text</dc:type> <dc:publisher>Decatur, Ill., The author</dc:publisher> <dc:date>[1918?]</dc:date> <dc:language>eng</dc:language> <dc:subject>International Sunday school association.</dc:subject> <dc:subject>Sunday schools</dc:subject> <dc:relation/> <dc:identifier>http://www.archive.org/details/18181918hundredy00mill</dc:identifier> <mods:mods> <mods:titleInfo> <mods:title>1818-1918, a hundred years of Sunday school history in Illinois..</mods:title> </mods:titleInfo> <mods:name><namePart type="given">Andrew H.</namePart> <namePart type="family">Mills</namePart> <namePart type="date">1851- </namePart> <mods:role> <mods:roleTerm mods:type="text">author</mods:roleTerm> </mods:role> </mods:name> ….. </mods:mods> 3/11/2015 16 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content
  17. 17. Extensibility of Element “Schemas allow users to extend the elements set to meet the local use.” 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 17
  18. 18. Granularity of Values How to add subject headings? •20% rule •Rule of three •Rule of four Does this serve well in resource discovery and retrieval in the digital age? 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 18
  19. 19. Granularity of Metadata II • Creating/extending metadata schemas –*Assess the granularity of access points –*Develop a new set of elements (Application profile) –Identify available semantics –Create a new metadata schema • (Application Profile) *Metadata record creation 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 19
  20. 20. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 20
  21. 21. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 21 Book Emblem Pictura
  22. 22. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 22
  23. 23. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 23
  24. 24. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 24 <biblioDesc> <mods> <mods:titleInfo> <mods:title>XL [i.e. Quadraginta] emblemata miscella nova </mods:title> </mods:titleInfo> <mods:physicalDescription> <mods:digitalOrigin>reformatted digital</mods:digitalOrigin> <mods:form authority="marcform">print</mods:form> <mods:extent>[8], xxxx p. : 41 ill. ; 20 cm.</mods:extent> </mods:physicalDescription> ... </mods>
  25. 25. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 25 <copyDesc> <copyID>uiu2895515</copyID> <owner countryCode="US">University of Illinois</owner> <digDesc comp="complete" scope="all" xml:id="xliequadragintae00mure" globalID=http://hdl.handle.net/10111/UIUCOCA:xliequadragintae00 mure> <copyID>10111/UIUCOCA:xliequadragintae00mure </copyID> <owner countryCode="US">University of Illinois</owner> </digDesc> … </copyDesc>
  26. 26. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 26 <emblem xmlns:rdf=http://… xmlns:skos=http://… xml:id="E000944" citeNo="I." globalID="http://... :E000944"> <motto> <transcription xml:lang="de"> Alchimisterey: <normalisation>xml:lang="de">Alchemie:</normalisation> </transcription> </motto> <pictura xml:id="E000944_P1"> <iconclass rdf:about="http://www.iconclass.org/rkd/31A247"> <skos:notation>31A247</skos:notation> <skos:prefLabel>looking over the shoulder</skos:prefLabel> </iconclass> … </picture> </emblem> </biblioDesc>
  27. 27. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 27
  28. 28. Metadata • Involves designing data model • Is a highly collaborative effort –Scholars/users –Domain specialists –Metadata/Cataloging librarian (Cole, Han, and Vannoy, 2012) 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 28
  29. 29. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 29 New Metadata Schema Catalogers/ Metadata Librarians Users Domain Specialists New discovery services
  30. 30. Images • Building Blocks (Attribution-ShareAlike 2.0 Generic (CC BY-SA 2.0)) http://www.flickr.com/photos/bdesham/2432400623/ • Lego Parts (Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0)) http://www.flickr.com/photos/starstreak007/3882987034/in/ph otostream/ • Lego Pencil and Notebook (Attribution-NonCommercial- NoDerivs 2.0 Generic (CC BY-NC-ND 2.0)) http://www.flickr.com/photos/starstreak007/3882191947/in/ph otostream/ 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 30
  31. 31. References • Coyle, K., & Hillmann, D. (2007). Resource Description and Access (RDA). D-Lib Magazine, 13(1/2). doi:10.1045/january2007-coyle • Cole, T. W., Han, M-J, & Vannoy, J. (2012). Descriptive Metadata, Iconclass, and Digitized Emblem Literature." Proceedings of the12th Annual Joint Conference on Digital Libraries. New York: Association for Computing Machinery. 111-120. • Sandler, M. (2005). Disruptive Beneficence, Internet Reference Services Quarterly, 10(3-4), 5-22. • Tennant, R. (2002). The Importance of Being Granular. Library Journal, 127(9), 32. • Tennant, R. (2004). A Bibliographic Metadata Infrastructure for the Twenty-First Century. Library Hi Tech, 22(2), 175-181. 3/11/2015 NISO Webinar on Supporting Direct Access to Increasingly Granular Chunks of Content 31
  32. 32. Is Granularity the Next Discovery Frontier? Granular Discovery: User Challenges and Opportunities Tito Sierra Director of Product Management, Search EBSCO Information Services
  33. 33. EBSCO Discovery Service Agenda • The Evolution of Library Discovery • Discovery in the Age of Google • Metadata and Granular Discovery – Metadata-centered approaches – User-centered approaches • Concluding Thoughts
  34. 34. EBSCO Discovery Service The Evolution of Library Discovery
  35. 35. EBSCO Discovery Service The Evolution of Library Discovery Library search has come a long way • OPACs • Online Research Databases • Federated Search • Next Generation Catalogs • Web-scale Discovery Services
  36. 36. EBSCO Discovery Service The Evolution of Library Discovery From siloed discovery to unified discovery • Articles / e-journal content • Print collection (catalog) • E-books • Magazines / trade publications / news sources • General reference / specialized reference • Multimedia (images, audio, videos)
  37. 37. EBSCO Discovery Service The Evolution of Library Discovery Supporting a variety of discovery needs • Known-item book and article citation search • Exploratory search / topic exploration • Discipline-specific research / literature reviews • Curriculum support / course assignments • General reference / specialized reference • Specialized content discovery
  38. 38. EBSCO Discovery Service Discovery in the Age of Google
  39. 39. EBSCO Discovery Service User Expectations for Search
  40. 40. EBSCO Discovery Service User Expectations for Search Shaped by popular search engines • Support basic keyword search • Deep content coverage – Diverse content types – Diverse content sources • Predictive relevance ranking • Intelligent search features – Autocomplete, Did-you-mean
  41. 41. EBSCO Discovery Service Findings from EDS User Research Observation Implication Keyword search most common Discovery service cannot assume users will pre- coordinate their search. Discovery service needs to anticipate user intent based on limited input. Faceted search used sparingly Discovery service cannot assume users will post- coordinate their search. Discovery service needs to provide more user-friendly narrowing options. Search queries length often short (1-2 words) Discovery service needs to anticipate user intent based on limited input. Search features needed to help users clarity their search intent. Broad and imprecise queries common Discovery service needs to help users narrow their search based on limited input. Many users looking for a topical overview on a subject. User focus on top results Relevance ranking crucial for delivering a quality search experience. Need to optimize search to display most relevant results on first page.
  42. 42. EBSCO Discovery Service The Discovery Service Challenge Despite major evolutions in library search, libraries, publishers, and discovery service providers need to work harder to meet evolving user expectations for search.
  43. 43. EBSCO Discovery Service The Discovery Service Advantage One advantage that library discovery services have over general purpose search engines is access to high-quality, well structured metadata.
  44. 44. EBSCO Discovery Service Metadata and Granular Discovery
  45. 45. EBSCO Discovery Service Metadata, Metadata, Metadata
  46. 46. EBSCO Discovery Service Metadata, Metadata, Metadata
  47. 47. EBSCO Discovery Service Metadata, Metadata, Metadata
  48. 48. EBSCO Discovery Service Metadata, Metadata, Metadata • Citation metadata – Title, Authors, Publication Date, Volume, Issue… • Descriptive metadata – Publication Type, Document Type, Subject Terms, Abstract, Author-supplied keywords, Lexile level… • Source metadata – Publisher, Content Provider, Database… • Identifiers – ISBN, ISSN, LCCN, Call Number…
  49. 49. EBSCO Discovery Service Metadata-centered Approaches to Granular Discovery
  50. 50. Advanced Search
  51. 51. Advanced Search Advanced search options:  Single fielded search  Title  Author  Subject Terms  Multi-fielded search  Search modes  Boolean/Phrase  Find all search terms  Find any search terms  Search limiters  Full Text  Scholarly Journals  Catalog Only  Language
  52. 52. Faceted Search
  53. 53. Faceted Search
  54. 54. EBSCO Discovery Service Faceted Search
  55. 55. EBSCO Discovery Service Metadata-centered Approaches Advanced Search and Faceted Search are powerful tools—for those who know how to effectively use them. They require user to translate discovery need into the language of metadata. Consequently they are underutilized.
  56. 56. EBSCO Discovery Service User-centered Approaches to Granular Discovery
  57. 57. EBSCO Discovery Service User-centered Approaches Anticipate end user intent using clues from the user query and user context. Deliver targeted content at the top of the results list where users expect.
  58. 58. Research Starters Topic overviews for broad topical queries.
  59. 59. Publication Title Placard (Beta) Journal name searched, exact match found. Publication match based on customer’s holdings.
  60. 60. EBSCO Discovery Service Concluding Thoughts
  61. 61. EBSCO Discovery Service Metadata Necessary But Insufficient Supporting access to increasingly granular chunks of content will requires capture and management of finer-grained metadata. Metadata needs to be coupled with search intelligence to have a broad impact.
  62. 62. EBSCO Discovery Service Areas for Future Investment • Deepen analysis of usage data to better understand user context and expressed granular discovery needs • Develop intelligent bridging between user queries and granular metadata • Build in adaptive learning capabilities to automatically refine intelligent search approaches over time
  63. 63. EBSCO Discovery Service Discussion / Q&A
  64. 64. From Unstructured Content to Granular Insights Daniel Mayer VP Product & Marketing daniel.mayer@temis.com
  65. 65. Copyright © 2012 TEMIS - All Rights Reserved - Slide 65 Pioneer of Textual Big Data since 2000 • 20 languages • In production for 12 years • 8 Billion+ pages processed 70 26
  66. 66. Copyright © 2012 TEMIS - All Rights Reserved - Slide 66 Key customers in the Information Industry STM, Legal, B2B, Trade, Media, Public
  67. 67. Copyright © 2012 TEMIS - All Rights Reserved - Slide 67 Textual Big Data Challenge • News • Market Studies • Economic Data • Financial Publications • Scientific Literature • Patents • Books • Conference Proceedings • Clinical Research • Patient Health Records • Regulations • Legal Decisions • Customer Emails • Tweets • Blog posts +50% Per year
  68. 68. Copyright © 2012 TEMIS - All Rights Reserved - Slide 68 • Save time with quick & easy access to the most relevant • Improve your insight into your interest area • Take better decisions Textual Big Data Opportunities
  69. 69. Copyright © 2012 TEMIS - All Rights Reserved - Slide 69 Textual Big Data How to seize these opportunities ? by adding structure • Save time with quick & easy access to the most relevant • Improve your insight into your interest area • Take better decisions
  70. 70. Copyright © 2012 TEMIS - All Rights Reserved - Slide 70 How do you structure ? We report a 52 year-old man presenting an acute hair loss induced by carbamazepine (CBZ) in concentration of 8.6 microg/ml. By extracting granular & domain-specific information Relations We report a 52 year-old man presenting an acute hair loss induced by carbamazepine (CBZ) in concentration of 8.6 microg/ml. Verb Patient Verb Symptom Verb Dosage informationSubj Entities Drug Name Terms Pro Verb NumArt N-P Noun Verb Art Adj Nn Nn Verb Pp PropNn Pp Noun Pp Num UnitAbbr Attributes Roles Adverse Event Side Effect Alopecia Cause Carbamazepine Dosage 8.6 mg/ml Patient 52 year old male
  71. 71. Copyright © 2012 TEMIS - All Rights Reserved - Slide 71 A case of hair loss induced by carbamazepine Kohno Y, Ishii A, Shoji S, Department of Clinical Neurology, Tsukuba University. We report a 52 year-old man presenting with an acute considerable hair loss induced by carbamazepine (CBZ). The remarkable scalp hair loss started within a week after CBZ administration. There was no evidence of dermatitis or allergic reaction, or other cause for the hair loss. The serum concentration of CBZ was 8.6 microg/ml therapeutic range 8- 12 microg/ml). CBZ was discontinued, and the hair loss stopped within several days with new hair growth. Medication-induced hair loss is an occasional adverse effect of many drugs used for neuropsychological diseases. CBZ also induces hair loss and its frequency was reported below 2%. Only a limited number of detailed case reports describing CBZ- induced hair loss were available, and we found these cases could divide into two groups with regard to a delay in starting hair loss after administration of CBZ. In one group, the hair loss started within a week suggesting anagen effluvium and in another it started after two or three months suggesting telogen effluvium. This finding suggests the causative mechanism of CBZ-induced hair loss is not unitary. Neuropsychological diseases Diseases 8.6 microg./ml Dosage information 8-12 microg./ml man52 year old Patient information Dept of Clinical Neurology, Tsukuba University Organizations Kohno Y Ishii A Shoji S People Carbamazepine CBZ Drugs Alopecia Dermatitis Allergic reaction Anagen effluvium Telogen effluvium Symptoms How does this help ? Enrich document metadata Side-effect Relationships Drug-induced alopecia A case of hair loss induced by carbamazepine Kohno Y, Ishii A, Shoji S, Department of Clinical Neurology, Tsukuba University. We report a 52 year-old man presenting with an acute considerable hair loss induced by carbamazepine (CBZ). The remarkable scalp hair loss started within a week after CBZ administration. There was no evidence of dermatitis or allergic reaction, or other cause for the hair loss. The serum concentration of CBZ was 8.6 microg/ml therapeutic range 8- 12 microg/ml). CBZ was discontinued, and the hair loss stopped within several days with new hair growth. Medication-induced hair loss is an occasional adverse effect of many drugs used for neuropsychological diseases. CBZ also induces hair loss and its frequency was reported below 2%. Only a limited number of detailed case reports describing CBZ- induced hair loss were available, and we found these cases could divide into two groups with regard to a delay in starting hair loss after administration of CBZ. In one group, the hair loss started within a week suggesting anagen effluvium and in another it started after two or three months suggesting telogen effluvium. This finding suggests the causative mechanism of CBZ-induced hair loss is not unitary.
  72. 72. Copyright © 2012 TEMIS - All Rights Reserved - Slide 72 Extraction Luxid® Annotation Server How does this help ? Exploiting enriched metadata Metadata / Triples
  73. 73. Copyright © 2012 TEMIS - All Rights Reserved - Slide 73 Search Engine Index De Recherche Index IndexingExtraction Luxid® Annotation Server How does this help ? Exploiting enriched metadata Metadata / Triples
  74. 74. Copyright © 2012 TEMIS - All Rights Reserved - Slide 74 Applications Search Analysis Visualization Facets Recommendations Portals Topic Pages Decision Support Search Engine Index De Recherche Index IndexingExtraction Luxid® Annotation Server How does this help ? Exploiting enriched metadata Metadata / Triples Linked Data Knowledge Bases
  75. 75. Copyright © 2012 TEMIS - All Rights Reserved - Slide 75 Examples
  76. 76. Copyright © 2012 TEMIS - All Rights Reserved - Slide 76 Facetted search/navigation
  77. 77. Copyright © 2012 TEMIS - All Rights Reserved - Slide 77 Sources/Content Types Scan Types Anatomical Regions Pathologies / Indications Facetted search/navigation
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  79. 79. Copyright © 2012 TEMIS - All Rights Reserved - Slide 79 Nature of the offense Nature of the sentence Numerical data regarding the sentence Numerical Data regarding the context Facetted search/navigation
  80. 80. Copyright © 2012 TEMIS - All Rights Reserved - Slide 80 ……… Semantic Shortcuts
  81. 81. Copyright © 2012 TEMIS - All Rights Reserved - Slide 81 Corresponding Scans & Illustrations Differential Diagnosis Support Relevant Content Topic Page
  82. 82. Copyright © 2012 TEMIS - All Rights Reserved - Slide 82 Copyright © 2009 TEMIS - All Rights Reserved - Slide 82 Topic Page
  83. 83. Copyright © 2012 TEMIS - All Rights Reserved - Slide 83 Topical Feed
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  85. 85. Copyright © 2012 TEMIS - All Rights Reserved - Slide 85 Smart Snippets
  86. 86. Copyright © 2012 TEMIS - All Rights Reserved - Slide 86 Semantic Analytics Competitive Intelligence - Product/Supplier map Analytics
  87. 87. Copyright © 2012 TEMIS - All Rights Reserved - Slide 87 Semantic Analytics Analytics – Corporate Relationships
  88. 88. Copyright © 2012 TEMIS - All Rights Reserved - Slide 88 Semantic Analytics Analytics – Staff Map
  89. 89. Copyright © 2012 TEMIS - All Rights Reserved - Slide 89 Delivery in the workflow
  90. 90. Thank You Your Questions Daniel Mayer VP Product & Marketing daniel.mayer@temis.com
  91. 91. NISO Webinar • March 11, 2015 Questions? All questions will be posted with presenter answers on the NISO website following the webinar: http://www.niso.org/news/events/2015/webinars/granularity_pt1/ NISO Two-Part Webinar Is Granularity the Next Discovery Frontier? Part 1: Supporting Direct Access to Increasingly Granular Chunks of Content
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