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This talk discusses two streams of innovation on the Web--the Social Web and Linked Data--and explains how bringing them together can move library services to the 21st century. The core of the presentation will look at a few of the envisioned social use cases for library linked data: Social Annotation, Peer-to-Peer Bookswapping and Social Recommendations. The goal is to create interest in combining new technologies and to start a discussion about how to bring these and similar use cases to fruition. Presented at the ELAG-2012 conference: http://www.elag2012.com/
Citation preview
Envisioning Social Applications of Library Linked Data
Uldis Bojārs and Jodi Schneider
http://tinyurl.com/elag-lld
collab-edited documentlinks to resources
(+ link to slides after the talk)
Collect information now:
About the Presenters
Uldis Bojārs / @CaptSolo
• National Library of Latvia
• Researcher & Linked Data enthusiast
Jodi Schneider / @jschneider•Librarian & Linked Data enthusiast•Ph.D. student, Digital Enterprise Research Institute, Ireland
Linking Open Data cloud by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/
•Use cases for Library Linked Data
•Available datasets & vocabularies
•Report on benefits & obstacles
http://www.w3.org/2005/Incubator/lld/
W3C Incubator Group: Library Linked Data
Libraries...
build communities
provide users with services
New ways to do this on the Web:
user-contributed content
crowd curation
Making Social Data in Librariesmore important
Social Uses of Library Linked Data
W3C LLD XG Social Uses cluster
http://bit.ly/lld-social-cluster
Use Cases:
• Social Annotation
• Peer-to-Peer Book Swapping
• Social Recommendations
Social Annotation
[Social] Annotation
Increasingly:
1.created digitally
2.published online
3.shared
Annotation data can have ....
Different levels of granularity:
• whole book/work
• chapters or sections
• pages
• paragraphs or sentences
• words
Different contents:
• quote
• commentary
• position only (bookmarks and linemarkers)
Linked Data can help
• Identify materials to annotate
• Point to fragments and sections
• Publish annotations
• Aggregate annotations
Book swapping @ IRL
Challenges of Book Swapping
information problem: who has what?
Paper books:
- have to meet in person or pay shipping
E-book swapping:
- restricted number of times books can be lent
- restricted period books can be lent for
- paying for service providers [some services]
Metadata for Bookswapping
• Rights expression: Lendable?o can lend X times, has been lent Y timeso conditions for lending a book (will ship, meet, ...)
• Holdingso listing of the books I have
• Wishlistso listing of the books I want to read (but not buy)o topics, genres I am interested in
• Friendso who can I borrow from?
How Linked Data can help
• Integrate wishlists across services
• Identify friends of friends
• Express rights/permissions
Social Recommendations
Valdis Krebshttp://orgnet.com
Interactions -> Recommendations
Interaction creates a trail of information
that can be used to make recommendations.
Types of Interactions
• Lending (circulation data), buying, reading
• Viewing pages & items
• Adding to favorites
• Recommending to others
• Tagging
• Adding reviews & annotations
Recommendations in libraries
• Alternatives to checked-out movies & books
• Books with an opposing perspective
• Similar authors, journal articles, etc.
• ...
Based on:
• What other users have done: interactions
• Available [linked] data (authority data, etc.)
• Social network connections
Linked Data can help
• Transport data between systems
o Increase volume & diversity of data
• Share public data sets seamlessly
o Decentralized, distributed
• Query over private data (SPARQL)
o Anonymization
• Share recommendations as linked data, too!
smalldemons.com
Imagine: Small Demons as Linked Open Data
What could / would you do with that?
What could / would you do with that?
If Amazon recommendations are enough to build networks of books, what could people build with info from, e.g., Small Demons?
Social networks of books, places, things, ...
Opening up the data =>
=> Unexpected uses
Imagine: Small Demons as Linked Open Data
Summary
• Social Annotation
• Peer-to-Peer Book Swapping
• Social Recommendations
We need more Open Data!
• Power of combining Social and Linked Data
• Creating interest in this combination
o Opportunitieso Message for getting these use cases &
other social use cases implemented
Let's make it happen!
• Discuss what's needed to implement these (and other) use cases
• Collect informationo re existing work and new ideaso add to / edit: http://tinyurl.com/elag-lld
• Build applications and do stuff with the data!
Thank you!
Jodi / @jschneider
http://jodischneider.com/jodi.html
Uldis / @CaptSolo
http://lnb.lv/en/digital-library
Image Credits
Linking Open Data cloud by Richard Cyganiak and Anja Jentzschhttp://lod-cloud.net/
Marginalia in the hand of grammarian and politician James Harrisby kladcathttp://www.flickr.com/photos/58558794@N07/6796113096/
Book Swap photoby Lawrence Brownhttp://www.flickr.com/photos/interlude22/5384934730/
Book Networks photoby Valdis Krebshttp://orgnet.com