Per discussion at meeting 2014-06-24. See google doc for more detailed information on See LD4L Use Cases for full set of use cases.
Use case | institutions planning to work on this use case (#local-priority) | Who | Notes | ||||
---|---|---|---|---|---|---|---|
Use Case | |||||||
name | institution | who | notes | ||||
1.1: Build a | Virtual Collectionvirtual collection | Cornell (#1) | Lynette, Simeon | Lynette started Open Annotations in Blacklight (BOAL?); has CuLLR | |||
Harvard | (Michael Vandermillen as advisor) | Library Cloud via localized Omeka | |||||
Stanford | |||||||
Use Case 1.2 | Tag Resources (see 1.1)(see 1.1) | 2.1 People Searching | : Tag scholarly information resources to support reuse | Cornell | Lynette | ||
Stanford | VIAF, ViVO | ||||||
Use Case 2.1: See and search on works by people to discover more works, and better understand people | Cornell | yes | |||||
Harvard | yes | FacultyFinder (incomplete)? | |||||
Stanford | yes | CAP, 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 ...) | |||||
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 ... | |||||
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 |