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Improving Information Discovery for the AGU Abstract Archive

Improving Information Discovery for the AGU Abstract Archive. Brendan Ashby, Sherry Chen, Aris Peng , Eric Rozell, Akeem Shirley. Xinformatics Spring 2012. Agenda. AGU Abstract Archive Use Case Cognitive Science Principles in Abstract Archive Uncertainty in Abstract Archive

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Improving Information Discovery for the AGU Abstract Archive

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  1. Improving Information Discovery for the AGU Abstract Archive Brendan Ashby, Sherry Chen, ArisPeng, Eric Rozell, Akeem Shirley Xinformatics Spring 2012

  2. Agenda • AGU Abstract Archive Use Case • Cognitive Science Principles in Abstract Archive • Uncertainty in Abstract Archive • Conceptual and Logical Models • Improved Information Architecture • Demo

  3. AGU Abstract Archive Use Case “To improve abstract discovery for the American Geophysical Union (AGU) meeting archives by reducing uncertainty in the underlying data model and user interface.”

  4. Library Science Principles in AGU Abstract Archive

  5. Digital World In the digital world, there are collections and directories. • How is the content managed? • How is it displayed? Meaning through: • Signs, symbols, and how they communicate • Spatial relations and their similarity of appearance • Cause and effect

  6. The Digital Library • Access: The abstracts of all the papers residing in the archive are publicly available. • Rights: All papers are attributed to who submitted them and where and when they were submitted. • Legal: Restrictions are in place to limit submissions to relevant topics of study. • Publishing: Only members, or persons referred by existing members are allowed to submit papers to the AGU archive.

  7. Discovery • Efficient: Users want the cause and effect relationship of their inputs to the outputs that the interface gives to become immediately apparent. • No lag! • Ease: Simplify complex searches • Usability: Serve a wide audience via Java and Tomcat. • Intuition: Intuition is when users gain “understanding without apparent effort”. • We utilize a “layer cake” methodology to how the different search criteria are stacked on top of each other to the left of the screen. • We designed the queries to allow the user to narrow their search by year or topic, but only as much as the user felt comfortable doing.

  8. Blur the Lines Can a non-expert just as easily use the system as an “expert” in the field?

  9. Information Uncertainty of AGU Abstract Archive

  10. Information uncertainty • Uncertainty of information architecture • Uncertainty of information content • Uncertainty of information context

  11. Uncertainty of information architecture 1. Can not find abstract database entry on the main page Not working for abstract!

  12. 2. Hard to find the link to abstract database page • Only one entry • Small font size • No emphasis

  13. 3. Destination link is on the bottom of the page

  14. Finally arrived!

  15. Uncertainty of information context • 1. Have to specify the year before search

  16. 2. Not hint or suggested keywords This link is not working

  17. Uncertainty of information content 1. The searching results are not clear enough

  18. 2. No column title ->hidden words 3. No convenient links to continue search (Authors, keywords)

  19. Logical and Conceptual Models

  20. Conceptual Model

  21. Logical Model

  22. Improved Information Architecture

  23. Old Information Architecture

  24. Old Information Architecture

  25. New Information Architecture

  26. Functional Requirements • Make Web-accessible faceted browser • Allow user to look up available AGU keywords directly from faceted browser • Allow user to traverse links to linked data description of AGU keywords (and related information) directly from faceted browser • Dynamically generate visualization of top-contributing authors for a given AGU keyword • Provide link to authors visualization in linked data description of AGU keywords • Allow user to search for abstracts from a specific author • Display AGU abstracts matching all of the user’s search criteria (some optional criteria might include: free-text search terms, year of publication, and meeting / section / session the abstract was published in) • Allow user to traverse links to linked data description of AGU abstract

  27. UI Mockup

  28. Demo • http://essi-lod.org/s2s/ • http://youtu.be/jRWtfJY8Iaw

  29. Conclusion • Future Work • Further visualizations to help users discover information resources • Improve usability of prototype faceted browser • Improve performance of prototype • We have improved discoverability of resources in AGU Abstract Archive • Reduced uncertainty in search interface • Added visualization of top-performing researchers in various science domains

  30. Appendix A: Use Case Activity Diagram

  31. Appendix B: Functional Requirements 1. 3. 8. 6. 2. 7.

  32. Appendix B: Functional Requirements 5. 4.

  33. Appendix C: Namespace Expansion

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