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Use case | institutions planning to work on this use case (#local-priority) | Who | Notes | |||||
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Use Case 1.1: Build a virtual collection | Cornell (#1) | Lynette, Simeon | Lynette started Open Annotations in Hydra. Locally we think of replacing CuLLR as a key application of this use case. | |||||
Harvard | (Michael Vandermillen as advisor) | Library Cloud via localized Omeka | ||||||
Stanford | ||||||||
Use Case 1.2: Tag scholarly information resources to support reuse | Cornell | Lynette | ||||||
Stanford | ||||||||
Use Case 2.1: See and search on works by people to discover more works, and better understand people | Cornell | |||||||
Harvard | yes | FacultyFinder (incomplete)? | ||||||
Stanford | yes | CAP, local authority for SearchWork | ||||||
Use Case 3.1 | External Authoritiessplit this up to make it easier? | includes autocomplete, term suggestions, ..., using questioning authority for using controlled terms (e.g. Revs, IR ...) | : Search with Geographic Data for Record Enrichment and Pivoting | Cornell | has code to share | Climate Change; has semantic search for synonym expansions, etc. | ||
Harvard | Paolo dbpedia place stuff | |||||||
Stanford | yes | Geo, Darren W. has examples of architecture of ontology triples with API ... | ||||||
Use Case 3.2: Search with Subject Data for Record Enrichment and Pivoting | ||||||||
Use Case 3.3: Search with Person Data for Record Enrichment and Pivoting | ||||||||
Use Case 3.4: Authority tool for more accurate data entry | ||||||||
Use Case 4.1: Identifying | Related Worksrelated 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??? | |||||||
Use Case 4.2 | Leverage Deeper Graph: Leverage the deeper graph to surface more relevant works | (see 4.1) | ||||||
Use Case 5.1 | Usage data to inform research: Research guided by community usage | Cornell | 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 | ||||||||
Use Case 5.2 Usage data for : Be guided in collection building | (see 5.1) | by usage | Harvard | they have Haystack - which has classification data (bib data via subject). uses API of LLC classifications. | ||||
Use Case 6. | 1 Three1: Cross-site search | See 5.1 |