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NAAC Slides on SNAC prototype access system

NAAC Slides on SNAC prototype access system

slides from my presentation at NARA

tingletech

June 13, 2012
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  1. Outline • User Persona • Search and Display • Linked

    Data / RDF • Network graph visualization • Future Plans
  2. Meet the target users • Randy: Graduate student working on

    a PhD that involves biographies and the study of diplomatic families and networks. Sometimes he comes to the site looking for information on specific people; other times he is looking for information on a specific subject or event. He also TAs an undergraduate history class and sometimes has to help students find topics for papers. • Connie: Works at an institution that contributed records to the project. Is going to be asking themselves how this site would be useful to their users. Wants to understand how their records were used and what the added value is. • Quincy: Library School Student working to QA record matching. • Adele: Person doing authority work during collection processing. • Lenny: Lenny likes linked data, and wants to be able to mine the links that have been established programatically. Personas are fictional characters created to represent the different user types within a targeted demographic, attitude and/or behavior set that might use a site, brand or product in a similar way. http://en.wikipedia.org/wiki/Persona_(marketing)
  3. Outline • User Persona • Search and Display • Linked

    Data / RDF • Network graph visualization • Future Plans
  4. Outline • User Persona • Search and Display • Linked

    Data / RDF • Network graph visualization • Future Plans
  5. • Record view page has meta link to Summers style

    RDF for the page (via SPARQL query). -- content negotiation is not supported, but I think what we are doing is httpRange14 compliant • Also experimenting with italian RDF via xslt
  6. Outline • User Persona • Search and Display • Linked

    Data / RDF • Network graph visualization • Context widget (needs new name) • Future Plans
  7. Tinkerpop graph database stack • Simple "property graph" model •

    "JDBC for graph databases" [SNAC is using Neo4J for the graphDB] • XPath like "gremlin" for graph query • REST interfaces with "Rexster" • For me, this was 10 to 100 times easier than using RDF
  8. Outline • User Persona • Search and Display • Linked

    Data / RDF • Network graph visualization • Future Plans
  9. Future Plans • Conduct assessment activities involving members of target

    audiences to establish mental model of users for design work • Scale interface to millions of names • Visualizations useful and integrated (network and geospatial) • Stable URLs between batches for linked data • Social and personalization features (gateway to crowdsourcing) • Integration with local systems (such as with the context widget)