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Building on and distilled from the preliminary use cases, this page represents a more refined set of use cases to guide the ontology and engineering work for the project. The use cases divide into five "clusters" reflecting the data available to research institutions and libraries, and the core LD4L mission of leveraging the intellectual input of librarians, domain experts and scholars as they produce, curate and use scholarly information resources. These five clusters focus onand associated use cases are:
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As a general principle, the use cases are meant to be
- narrow enough to guide work, yet broad enough to show its generalizability
- align with the focus and the goals of the project
- be feasible to implement (availability of data, within capabilities to link and engineer)
- be demonstrable
Clusters & Use Cases
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Template:
Cluster Name
Use Case: (optional label or title)
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- logical sequence of steps to support this...
Cluster 1: Bibliographic + curation data
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Use Case: Build a virtual collection.
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- MARC records
- Digital collections metadata
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Engineering Work
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Cluster 2: Bibliographic + person data
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Use Case: See / Search on works by people to discover more works, and better understand people.
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- need URIs for all authors, researchers, people as subjects in MARC, article records, EAD
- relate URIs of all authors to VIAF, ORCID, etc.
- index affiliation data inot OPAC
- create bibliographic LD service for VIVO/CAP/Profiles to hit, return search results (use case A1)
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Cluster 3: Leveraging external authorities
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Use Case: Search with External Authorities for Record Enrichment & Pivoting
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Data Sources Needed
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Engineering Work
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Cluster 4: Leveraging the deeper graph (via queries or patterns)
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Use Case: Identifying related works
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Data Sources Needed
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Engineering Work
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Cluster 5: Leveraging usage data
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