Understanding Schema.org. Presenters: Dan Scott Systems Librarian Laurentian University Jason A. Clark Head of Library Informatics & Computing Montana State University June 29, 2014 Sponsored by ALCTS & LITA. #alctsAC14. Context: Discovery Elsewhere Introduction of Speakers.
Jason A. Clark
Head of Library Informatics & Computing
Montana State University
June 29, 2014
Sponsored by ALCTS & LITA
Context: Discovery ElsewhereIntroduction of Speakers
Jenn RileyAssociate Dean, Digital InitiativesMcGill University
Co-Chair, ALCTS/LITA Metadata Standards Committee
Let’s face it.
Google is just BETTER at this than us.
Large scale user behavio(u)r data
Integration with other data sources (browser, bookmarks, etc)
Ability to do real-time experiments at scale
Did I mention they have more resources?
Crawls 20 billion pages per day4
A Knowledge Graph of 500 million things4
Nearly 50,000 employees3
$13.966 billion operating income in 20132
Made ca. 550 tweaks to their search algorithm in 20101
Why not leverage this rather than try to replicate it?
Library systems approach
Web scale approach
Teaching users to use the system
Index created from all possible sources
Intelligence in the system
Nearly 40% of faculty1…
89% of students2…
84% of general public3…
start discovery with a search engine
1. Ithaka US Faculty Survey, 2012
2. OCLC College Students Perceptions of Libraries and Information Resources, 2005
3. OCLC Perceptions of Libraries, 2010
schema.org is step one towards this goal
And bringing in structured data
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