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 Jenn Riley Associate Dean, Digital Initiatives McGill University Co-Chair, ALCTS/LITA Metadata Standards Committee

Let’s face it. Google is just BETTER at this than us.

They have: Large scale user behavio(u)r data More resources Integration with other data sources (browser, bookmarks, etc) More resources Ability to do real-time experiments at scale Did I mention they have more resources?

Here’s a reality check about Google Crawls 20 billion pages per day 4 A Knowledge Graph of 500 million things 4 Nearly 50,000 employees 3 $ billion operating income in Made ca. 550 tweaks to their search algorithm in index.htm

Why not leverage this rather than try to replicate it?

Record-based Sorting Boolean logic Teaching users to use the system Index created from all possible sources Relevance ranking Vector spaces Intelligence in the system Library systems approach Web scale approach

Nearly 40% of faculty 1 … 89% of students 2 … 84% of general public 3 … start discovery with a search engine 1. Ithaka US Faculty Survey, OCLC College Students Perceptions of Libraries and Information Resources, OCLC Perceptions of Libraries, 2010

So how do we leverage these strengths? Get our stuff out ON the web. Discoverable there. Usable there. schema.org is step one towards this goal

Remember this? From

Now we’re getting more granular And bringing in structured data From

Our Speakers Dan Scott, Laurentian Jason Clark, Montana State #alaac14 #alctsAC14 #schema

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