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Per discussion at meeting 2014-06-24.  See google doc for more detailed information on use cases.

nameinstitutionwhonotes
1.1 Build a Virtual CollectionCornellLynette, SimeonLynette started Open Annotations in Blacklight (BOAL?);  has CuLLR
 Harvard(Michael Vandermillen as advisor)Library Cloud via localized Omeka
 Stanford  
1.2 Tag Resources (see 1.1) (see 1.1) 
2.1 People Searching  VIAF, ViVO
 Cornellyes 
 HarvardyesFacultyFinder (incomplete)?
 StanfordyesCAP, local authority for SearchWork
3.1 External Authorities split this up to make it easier?includes autocomplete, term suggestions, ..., using questioning authority for using controlled terms (e.g. Revs, IR ...)
 Cornellhas code to shareClimate Change; has semantic search for synonym expansions, etc.
 Harvard Paolo dbpedia place stuff
 StanfordyesGeo, Darren W. has examples of architecture of ontology triples with API ...
4.1 Identifying Related Works defer for now?

Exaclty which data?  (should we narrow our data first)   exactly which sort of queries?  Canned examples vs. ad hoc queries. 

 Cornell could take it on now, but won't be first priority among use cases.  Start with "one step away" cases before taking on deeper cases.
 Stanford Darren W.: implementation to try to look at this – it takes weeks or months to run code against data to pull out interesting stuff???
4.2 Leverage Deeper Graph (see 4.1) 
5.1 Usage data to inform research  Demo:  would like Solr index with appropriate fields from all three institutions.  Could do as harvested data from 3 institutions that Paul (Harvard) builds Stack Life on it???  Cornell and Stanford give Harvard ?? BibFrame ??  Other triples??
 Cornell  
 Harvard Would need to refactor Stack Life code to populate Solr from linked data;  it's currently populated from bib data with stack score.
 Stanford  
5.2 Usage data for collection building (see 5.1) 
 Harvard they have Haystack - which has classification data (bib data via subject).  uses API of LLC classifications.
6.1  Three site search See 5.1 
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