Linked Data & AI Discovery Futures - CNI
Transcript of Linked Data & AI Discovery Futures - CNI
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Discovery Futures: Linked Data & AITom CramerAssociate University LibrarianStanford University@tcramer
CNI “San Diego” May 21, 2020
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Linked Data & Libraries
Linked Data is the gateway between library data and the Web.
● Get library data onto the web
● Get web data into the library
Library Data
Web of Data
Linked Data
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Discovery is where
...we will see tangible benefits of LOD
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Linked Data & Library Discovery1. Schema.org (et al.) mark up2. Knowledge Panels3. Semantic Browse4. Semantic Search5. Type Ahead / Auto-Suggest
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Schema.org (et al.) Mark UpCatalog Item
Page Source
Schema.org Mark Up
Web of Data
SEO
Harvesters
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Knowledge Panel
● BibCard implementation from University of Wisconsin
● https://search-ld.library.wisc.edu/● “Gertrude Stein on Picasso”
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Semantic Browse
Author PlaceSubject
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Semantic Search
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Type Ahead / Auto-Suggest
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https://bit.ly/ld4-kp-recipe
How to doc
Topics Covered
Link
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LD4 Discovery Affinity Group
https://wiki.lyrasis.org/display/LD4P2/LD4+Discovery+Affinity+Group+Charge
● Biweekly open calls
● Extensive knowledge base
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AI & Discovery
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AI: Two Big Opportunities
1. More (meta)data2. New interfaces
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AI More Metadata
/Metadata at
Scale
Text
Images
Named Entity Recognition
Text Classification
Labelling
Object Recognition
Time-based Media
Speech-to-Text
Structural Analysis
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New Interfaces
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New Interfaces
Yewno Concept Explorer
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Pathfinder Projects at Stanford
Enhanced Cataloging for Theses & Dissertations
Question: Can we use AI to automatically add keywords & subjects to catalog records?
Models / Engines: Yewno, ANNIF, BERT
Key Points: Integration with traditional cataloging workflow & ILS
Computer Vision for Archaeological Photos
Question: Can we usefully classify & mine under-described photos from a 20 year dig?
Models & Engines: Claif.ai, Google CV, AutoML
Key Points: Comparison of commercial vs. custom models, integration with dig recordshttp://catalhoyuk.com/research/imageai
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ai4lam
https://ai4lam.org