this is a work in progress...
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 on:
- Bibliographic + curation data
- Bibliographic + person data
- Leveraging external authorities
- Leveraging the deeper graph (via queries or patterns)
- Leveraging usage data
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
Template:
Cluster Name
Use Case: (optional label or title)
As a ______, I want to _______, so that I can <realize this benefit>.
Potential Demonstrations:
A. Demo 1
B. Demo 2
C. Demo 3
Implementation Notes:
Data Sources Needed
- list here
Engineering Work
- logical sequence of steps to support this...
Cluster: Bibliographic + curation data
Use Case: Build a virtual collection.
As a faculty member or librarian, I want to create a virtual collection containing information resources from multiple collections across multiple universities either by direct selection or by a set of resource characteristics, so that I can share a focused collection with a <class, set of researchers, set of students in a disciplinary area>.
Potential Demonstrations
A.
Implementation Notes
Data Sources Needed
- MARC records
- Digital collections metadata
- ...
Engineering Work
- ...
Use Case: Tag scholarly information resources from multiple institutions to support reuse in multiple systems.
As a librarian,I would like to be able to 'tag' scholarly information resources from multiple institutions into curated lists, so that I can feed these these lists into subject guides, course reserves, or reference collections; I'd like these lists to be portable (into Drupal, into LibGuides, into Spotlight! or Omeka, into Sakai, e.g.) and durable; I'd like these lists to selectively feed back into the discovery environment without having to modify a MARC record..
Potential Demonstrations
- identify books on the virtual shelf of engineering reference handbooks
- identify "classic texts" in physics/astronomy/chemistry
- identify a "reference collection" for entomology
Implementation Notes
Data Sources Needed
- MARC records
- Digital collections metadata
- ...
Engineering Work
- ...
Cluster: Bibliographic + person data
Use Case: See / Search on works by people to discover more works, and better understand people.
As a researcher, I'd like to see / search on works <by, about, cited by, collected, taught> by University faculty <in an OPAC, profiles system>, to discover works of interest based on connection to people, and to understand people based on their relation to works.
Potential Demonstrations
A1. A VIVO search results in a faculty list. Pivot by hitting a "see all publications by these researchers" link. This generates an OPAC results page or a VIVO results page with citations.
B1. An OPAC search results highlight any search results that have a <Cornell, Harvard, Stanford> author
B2. A facet in the OPAC search results page lets user refine results to just <Cornell, Harvard, Stanford> authors
B3. A check box or tab in the OPAC allows patrons to search for only <Cornell, Harvard, Stanford>-authored works, effectively producing an institutional faculty-works portal.
C1. A search on "Stephen J. Gould" (a Harvard professor with archival materials at Stanford) shows works by, about, owned by, cited by, used in his courses, or held in his archive.
Implementation Notes
Data Sources Needed
- MARC records
- Journal articles (HWP data)
- VIVO / Harvard Profiles / Stanford CAP
- ORCID / VIAF / person authorities
- Gould Archival Finding Aid (C1)
- ...
Engineering Work
- 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)
- ...
Cluster: Leveraging external authorities
Use Case: Search with External Authorities for Record Enrichment & Pivoting
As a researcher, I'd like more context for my search results, and be able to pivot, extend or refine a search with a single click, in order to better assess foun resources, find related resources, and filter or expand search results to broaden or narrow a search on the fly.
Potential Demonstrations
A. <author,subject> searches in OPAC show a panel of related information for context
B1. <place> searches can be done w/ spatial search (bounding box on a map)
B2. Search results with spatial data can be shown on a map with points. (works about this place, published in this place, by authors born in this place)
C. Individual records with linked URIs get enriched displays by linking out to external services. (DBpedia, OCLC Works, MusicBrains, IMDB, Amazon...)
D. Intelligent term expansions / suggestions based on LD show up as
D1. type-ahead in a search box
D2. suggestions on a zero-results search page
Implementation Notes
Data Sources Needed
- ...
Engineering Work
- ...
Cluster: Leveraging the deeper graph (via queries or patterns)
Use Case: Identifying related works
As a scholar, I would like to find all costume photographs and scene illustrations for various stagings and performances of the plays of a particular author or the operas of a particular composer, so that I can see how the visual look of performances of the plays or operas have changed over time.
Potential Demonstrations
A. Given an author or composer, find images associated with the works of that author or composer.
B. Results that separate out classes of works: images associated with plays rather than novels or short stories; composed operas rather than songs or instrumental pieces.
Implementation Notes
Data Sources Needed
- ...
Engineering Work
- ...
Use Case: Leverage the deeper graph to surface more relevant works
As a researcher, I would like to see resources in response to a search where the relevance ranking of the results reflects the "importance" of the works, based on how they have been used or selected by others, so that I can find important resources that might otherwise be "hidden" in a large set of results.
Potential Demonstrations
A. Do a "page-rank" style algorithm across the full linked data graph, assigning appropriate weights to certain kinds of annotations and relationships and reflecting those weights in the relevance ranking of search results for a set of common queries.
B. Boost the ranking of any resource that has external relationship links by a simple computation over those relationships.
Implementation Notes
Data Sources Needed
- ...
Engineering Work
- ...
