jeanne kramer-smyth morimichi nishigaki tim anglade

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ArchivesZ: Visualizing Archival Collections May 10, 2007 University of Maryland, College Park CMSC 734 – Spring 2007 Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

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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. - PowerPoint PPT Presentation

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Page 1: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

ArchivesZ: Visualizing Archival Collections

May 10, 2007University of Maryland, College Park

CMSC 734 – Spring 2007

Jeanne Kramer-SmythMorimichi Nishigaki

Tim Anglade

Page 2: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

A little about the problem.

Page 3: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Users of library catalogs know what to expect

Page 4: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Archives/Manuscripts are more mysterious

?One box?Ten boxes?

Page 5: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

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

Page 6: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Or examine the finding aid

Page 7: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Archival Collection Metadata• Subjects• Range of years• Size measured in linear feet

+ AggregateVisualizeSearch

ArchivesZ

Page 8: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Architecture

Page 9: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade
Page 10: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Data Translations

Page 11: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade
Page 12: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Visualization

Page 13: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Multi-value attributes datasetWe propose an innovative method for visualization and exploration of items associated with multi-value attributes

Item 1 A B

Ex) Multi-value attributes dataset

Item 2 A C E

Item 3 B

Item 4 D E

Items Multi-value attributes

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?

Page 14: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Aggregation and Overlap

A

Item 1 A BItem 2 A C EItem 3 BItem 4 D EItem 5 B D E F

Item 1

Item 2 Item 3

Item 1

Item 2

Item 4

Item 5

Item 2

Item 4

Item 5 Item 5

B C D E F

# of

Item

s

• 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

A

Item 1

Item 2 Item 3

Item 1

Item 2

Item 4

Item 5

Item 2

Item 4

Item 5 Item 5

B C D E F

# of

Item

s

Selected

overlap with selected group

Page 15: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Dual-sided histogram

0 1 22 1

B

C

D

E

F

Ex) Selected: {A}Ex) Selected: {}

2 3 40 1

B

C

D

E

F

AThis histogram is called dual-sided histogram

A

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.

overlap non-overlap

Page 16: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

Demo!

Page 17: Jeanne Kramer-Smyth Morimichi Nishigaki Tim Anglade

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?