LD4 Discovery Affinity Group

linked data,

Hello. Yes, this is discovery. Who is this?

Charter and Overview

• https://wiki.lyrasis.org/display/LD4P2/LD4+Discovery+Affinity+Group+Charge
• Purpose (paraphrased): Community input and discussion on variety of topics related to demonstrating benefits of linked data for enhancing discovery of library resources
• Slack: 262 members
• Email list: 50 members

Charter and Overview

• First meeting: 02/19/2019
• Total # of meetings (as of 7/23/21): 56
• Outputs: Captured in meeting notes and on wiki page(s)
• Intersections: LD4 Discovery work, LD4 conference, Blacklight LD Working Meeting, Knowledge panel white paper

Memories of the way we were

The Original Co-Founders of the Affinity Group

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Simeon Warner, Cornell University

Tom Cramer, Stanford University

Meme-ries of the way we were

Then we came along

Co-chairs over the years

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Jessie Keck

Astrid Usong,

Stanford University

Huda Khan,

Cornell University

Former co-chair quotes

• “We linked some data. Most of it was left unlinked and that is ok”
• Also “Do what Huda says”.
• Jessie Keck was not offered any compensation in return for these quotes

Topics and Questions

• Understanding user needs and usability
• Interface design and user interactions
• Data and metadata
• Knowledge Panels: examples and discussions
• Open-ended discovery
• Browsing: examples and discussions
• Indexing mechanics and approaches
• Autosuggest implementations
• Recapping meetings and conferences
• Demos and discussions

Demos and Special sessions

• University of Ghent Autocomplete
• EBSCO Knowledge Graph UI
• NCSU Discovery project
• COVID-19 and discovery
• Solr relatedness
• Linked data and indexing: entities
• Linked data user stories: Focus on concrete examples
• ResearchSpace demo
• Discovery for Humans IIIF
• OCLC CONTENTdm (Cross-over with Wikidata Affinity Group)
• Best practices for authoritative data
• Visualizations
• Knowledge panel white paper
• Ethics (Cross-over with Ethics Affinity Group)

User-centered design

• Recap of discussions
• User research and studies: What do we know about our users, user stories and scenarios?
• User needs and evaluation: Knowledge panels, browsing, semantic search, suggestions
• Integrating linked data into discovery experiences: Demos
• Visualizations
• What questions does this group want answered?

Following and using the data

• Recap of discussions
• Linked data sources: Analysis
• Connections with existing bibliographic metadata
• Indexing
• Transforming graphs
• Integrating URIs and linked data/cross-references
• What are all the pieces we need to improve discovery?
• Helpful: Diagram of interconnected pieces?

Put the pedal to the design and dev metal

• Demos: Production systems and prototypes
• Connecting between authorities and library catalog metadata.
• Contextualization using linked data
• Adding search suggestions and possibilities
• Bibliographic entities and relationships
• Linking to additional catalog results and library resources
• Visualizations of collections for analysis and discovery
• Additional demo/design or development discussion ideas?
• Real-world process and examples: How do we get to production?

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Ethics

• Ethics in Linked Data checklist (Ethics in LD Affinity Group)
• Example of discussion areas
• How can data be used to spread harmful information? Inaccurate information?
• Responsibility when consuming data algorithmically
• Addressing ethical issues per situation and/or programmatically
• Can we revisit and expand on some of these areas?
• Additional areas to discuss?

What is a challenge but an opportunity persevering?

(Thank you WandaVision. I actually appreciate the original line.)

• User research
• Prior research showing user needs
• Evaluating designs supporting different/additional interactions
• Data
• Comprehensiveness, consistency, availability, reliability, performance
• Engineering
• Performance, scalability

Outputs and related work

• Knowledge Panel White Paper
• Wiki
• Meetings/Recordings
• User studies (discovery, libraries UX)
• Related efforts (projects/groups)
• Conference discussions

Hopes and dreams

• Time and space for further discovery discussions and intersections with other efforts
• Evaluation and testing approaches: analytics, usability, user feedback
• Visualizations
• Linked data in the aggregate
• Ethics
• Intersections of knowledge graph with ML approaches?

Discussion: Topics and Themes for Affinity Group

Please write down suggestions for topics, themes, or demos you think would be useful to include in future Discovery Affinity Group calls. Each person should add a new bullet. The first two are added as examples.

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Document link

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Writing down ideas: 5 minutes.

Discussion: 5-10 minutes

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Discussion: [Session discussion topic]

Vote for topic. For chosen topic, please write down questions, suggestions, and comments.

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Document link

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Writing down ideas: 5 minutes.

Discussion: 5-10 minutes

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