Date: Fri, 29 Mar 2024 09:57:24 -0400 (EDT)
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Rationale
There is a pressing need to provide concrete demonstrations of the benefits of linked data in order=
to help motivate the transition of library catalogs from MARC. Withi=
n LD4P3, work to enhance the discovery of library r=
esources is the focus of WP3: Discovery. Within LD4P2, similar work was the focus of WP4: Discovery. The part=
ners had committed to working with the Blacklight framework to =
demonstrate enhanced discovery features such as:
- knowledge panel in search results to present contextual information pow=
ered by linked data;
- browsing based on authority files and links to related entities in exte=
rnal data;
- semantic search, which could include laying out alternative terms in a =
=E2=80=9Cno results=E2=80=9D page, suggesting semantically related terms in=
a type-ahead, or providing richer, geo-based browse by leveraging URIs for=
places; and
- microdata on item pages to enable machine crawling.
In all of these areas there is opportunity for community input on and di=
scussion of the best approaches and the desired outcomes. The LD4 Discovery=
Affinity Group will provide a forum for these discussions, with the follow=
ing goals:
- identify exemplar systems/features the demonstrate the benefits of linked data and could be applied to =
library resources
- identify opportunities for enhanced discovery of library resources using linked data that can be=
implemented in the short to medium term
- document connections between cataloging practices and discovery outcome=
s
- document effective assessment approaches
- provide advice to LD4P3 partners for WP3: Discovery=20
- (previously provided advice to LD4P2 partners and cohort members for WP4: Discovery)
Approach
- Co-chaired by Astrid Usong & Huda Khan
- Bi-weekly calls (see=
below):=20
- Dedicated, open Slack channel in LD4 =E2=80=93
#discovery
- Dedicated, open Google Group =E2=80=93
ld4-discovery
- Share brief updates on all hands calls
- Consider face-to-face sessions at the LD4 conference each Spring
=
span>Calls and topics
Calls bi-weekly, Tuesdays, 9am PT / 12noon ET, 5pm UK, 6pm CET, (Note Zoom URL has been changed, and will =
now be stored in the meeting document )
Calls are expected to continue through the length of the grant an=
d hopefully beyond.
- 2023=20
- 2022=20
- 2021=20
- 2020=20
- 2020-12-=
08 Knowledge Panel white paper, ethics, end of year recap / Recording
- 2020-11-=
10 ResearchSpace demo / Recording
- 2020-10-=
27 What's linked data got to do with user actions? / Recording
- 2020-10-13 Solr APIs, relatedness, Blacklight Virtual Summ=
it recap / Recording
- 2020-09-=
29 Entities and example interfaces / Recording
- 2020-09-=
15 Indexing and entities, continued / Recording
- 2020-09-=
01 Indexing graphs and entities / Recording
- 2020-08-18 Knowledge Panel White Paper, Ethics in linked d=
ata, planning / Recording
- 2020-08-=
04 LD4 Conference recap / Recording
- 2020-07-=
07 Where do we go from here? Group discussion / Recording
- 2020-06-=
23 Knowledge Panel White Paper, group recap and future / Recording
- 2020-06-=
09 Indexing and linked data / Recording
- 2020-05-=
26 General discussion around entities and discovery / Recording
- 2020-05-=
12 Autosuggest and linked data: possibilities and interactions, additional =
planning / Recording=
- 2020-04-=
28 Various topics including effects on/intersections with discovery due to =
COVID-19 / Recording
- 2020-04-=
14 Discovery and knowledge graphs project at NCSU / Recording
- 2020-03-=
31 EBSCO Knowledge Graph UI / Recording
- 2020-03-=
17 Flexible agenda / Recording
- 2020-03-03 A little usability, a little semantic search / Recording (unclear=
where notes document is)
- 2020-02-=
18 University of Ghent autocomplete / Recording
- 2020-02-0=
4 Knowledge =
Panel White Paper - continued discussion / Recording
- 2020-01-21 Us=
ability/user research / =
Recording
- 2020-01-=
07 Welcome back, topics and theme planning / Recording
- 2019=20
- 2019-12-=
10 Browse, year in review, etc. / Recording
- 2019-11-=
26 Knowledge Panel White Paper - continued discussion / Recording
- 2019-10-=
29 Knowledge Panel White Paper Review and other topics / Recording
- 2019-10-15 More meeting recaps and review / Recording
- 2019-10-01 B=
lacklight LD recap and future topics/themes/ Recording
- 2019-09-17 Bl=
acklight LD Working Meeting agenda: Browse, Semantic Search, UX / Recording
- 2019-09-03 Bl=
acklight LD Working Meeting agenda: Data, Knowledge Panels, Schema.org/Site=
map, UX / Recording
- 2019-08-20 Linked data search and discovery UI, browse, data / Recording
- 2019-08-06 Library metadata and Google + Harvard concept search demo<=
/a> / Recording
- 2019-07-23 Discovery examples across multiple sources / Recording
- 2019-07-09 Updates, data / Recording
- 2019-06-11 Browsing and open-ended discovery / Recording
- 2019-05-28 Reviewing wiki, data, and browsing / Recording
- 2019-05-14 User feedback on knowledge panels, demo of enhancements and recap of LD4 conference discovery discussions / Recording
- 2019-04-30 User evaluation results and walking through data examples<=
/a> / Recording
- 2019-04-16 User stories (continued) and let's talk about data / Recording
- 2019-04-02 What do we know about our users and how does that he=
lp with enhancing discovery?
- 2019-03-=
19 How do we do things at index time?
- 2019-03-=
05 Knowledge panels (continued)
- 2019-02-=
19 Intro and knowledge panels
=
Discussion materials and references (e.g. slide=
s, documents, etc.)
- Knowledge panels=20
- Index time processes=20
- User stories and usability
- Browsing, search, and open-ended discovery=20
- Running slide deck of examples
- Search demo incorporating Wikidata an=
d LOC content=20
- Searching across libraries and reconciling information between LC autho=
rities/subject headings and Wikipedia=20
- Data analysis
- Overview of questions at different levels (data, index, interface)
- Additional references
Possibl=
e future call topics
- examples of knowledge panels. What works, works well, where is data com=
ing from?
- can you tell if schema.org <http://schema.org> works =
/ is worth the effort?
- how Wikidata can make Library discovery better
- cohort Discovery projects: Yale, UC Davis, Harvard, etc.
- what examples of browse interfaces to you have / like?
- semantic search? advanced discovery?
- how do you assess impact of exposing your metadata as LOD?
- tips and tricks for better metadata production
- "if I do x in my catalog record, I get y result"
- other topics as they arise...
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