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Notes
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Going through Current Approaches to Providing Search APIs helps to understand intention to support different use cases.
- Patterns include care for supplying different response types (jsonld, RDF/XML, json, etc.), RWO/Concept support, left anchored search, exact match searching.
Use Case discussion
- Label exact match search supports unsupervised automated batch add URIs to existing data.
- ATOM feed is an API that gives the delta, to update cached data based on changes.
- Generally, there's a need to not build separate ETL processes for each dataset for caching locally data for indexing to support local workflows
- Filtering is useful in a number of workflows, whether automated, supervised batch, or single entity search. What to filter on is a significant challenge, with a need to understand both the data model and consumer needs.
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Attendees
- Kevin Ford (LOC)
- Nate Trail (LOC)
- Kirk Hess (OCLC)
- Rick Bennett (OCLC)
- John Chapman (OCLC)
- Nancy Fallgren (NIH)
- John Graybeal (Bioportal)
- Lydia Pintscher (Wikidata)
- Jens Ohlig (Wikidata)
- Hetty van Zutphen (ISNI)
- Steven Folsom (Cornell)
- Christine Fernsebner Eslao (Harvard)
- Jeremy Nelson (Stanford)
- Justin Littman (Stanford)
- E. Lynette Rayle (Cornell)
- Rob Sanderson (independent)
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