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Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

ArchivesZ : Visualizing Archival Collections May 10, 2007 University of Maryland, College Park CMSC 734 – Spring 2007. Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade. A little about the problem. Users of library catalogs know what to expect. Archives/Manuscripts are more mysterious.

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Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

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  1. ArchivesZ: Visualizing Archival CollectionsMay 10, 2007University of Maryland, College ParkCMSC 734 – Spring 2007 Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

  2. A little about the problem.

  3. Users of library catalogs know what to expect

  4. Archives/Manuscripts are more mysterious ? One box? Ten boxes?

  5. Need to drill down to full record to find out quantity of materials

  6. Or examine the finding aid

  7. Archival Collection Metadata • Subjects • Range of years • Size measured in linear feet + Aggregate Visualize Search ArchivesZ

  8. Architecture

  9. Data Translations

  10. Visualization

  11. Multi-value attributes dataset We propose an innovative method for visualization and exploration of items associated with multi-value attributes Ex) Multi-value attributes dataset Items Multi-value attributes Item 1 A B Item 2 A C E Item 3 B Item 4 D E Item 5 B D E F In our application, items are collections, and multi-value attributes are subjects. How to visualize this type of dataset?

  12. Aggregation and Overlap Item 2 # of Items Item 1 Item 1 Item 4 Item 4 Item 2 Item 3 Item 2 Item 5 Item 5 Item 5 A B C D E F Item 2 overlap with selected group # of Items Item 1 Item 1 Item 4 Item 4 Item 2 Item 3 Item 2 Item 5 Item 5 Item 5 A B C D E F Selected Item 1 A B • Intersection (overlap) carry relations between attribute values and help users to explore dataset • Selected attribute values are in users’ interest. • Focusing on the overlap with selected items Item 2 A E C Item 3 B Item 4 D E Item 5 B D E F

  13. overlap non-overlap Dual-sided histogram Ex) Selected: {} Ex) Selected: {A} This histogram is called dual-sided histogram A A B B C C D D E E F F 0 1 2 3 4 2 1 0 1 2 Visualizing total amount on selected attribute values and overlaps at the same time. Giving users an idea for further adding selected attribute values for searching items. In our application, sizes of collections are used instead of number of items.

  14. Demo!

  15. Next Steps • Stage ArchivesZ online with small dataset and invite the larger archives and historian community to give feedback Thank you! • Special thank you to Jennie Levine, Curator of Historical Manuscripts University of Maryland Libraries – provider of EAD encoded finding aids and answers to many questions Questions?

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