1. Slides showing what we have working now in Monk Last updated May 6, 2008 (by Catherine) Based on slides used at NEH meeting May 5th for a quick demo to Million Books Contest meeting

2. Focus on 18th and 19th Century British and American Literature
Metadata Offer New Knowledge
A project that brings together
humanists, computer scientists
and library and information specialists
University of Illinois, Urbana-Champaign
School of Library and Information Sciences
National Center for Supercomputing Applications
Northwestern University
Academic Technologies
University of Maryland
Human-Computer Interaction Laboratory Maryland Institute for Technology in the Humanities
University of Alberta
Department of English
MacMaster University
Humanities Visualization
University of Nebraska, Lincoln
Center for Digital Research in the Humanities
Focus on 18th and 19th Century British and American Literature
Web-deliverable services, Visualizations, Text mining
Mellon Funded

3. Monk Set of motivating use cases
Lessons learned from early implementations
DataStore / Analytics/ Proxy / User Interface
Flexible UI of tools and toolsets
Alpha testing of entire architecture in progress

4. Early Explorations Nora – Classification JCDL 06, DH 2006
Featurelens Mine patterns of repetition
DH 2007, CIKM 07

7. Select a toolset
e.g. Simple Chart

8. Simple chart will show overview of collections using simple charts

10. Now try a more complex toolset “Search by example”
Now try a more complex toolset “Search by example”. First you see a preview of the tools that comprise that toolset.

11. Can drag and drop additional tools in the toolset to modify it

12. Can drag and drop additional tools in the toolset to modify it

13. Can drag and drop additional tools in the toolset to modify it

15. 1st you navigate hierarchy of collections, works and work parts to select text of interest

18. Also working on alternate tools to select works
(e.g. Mandala) Not quite working yet using the default toolset… but works in “Matt’s test” project using his custom toolset.

19. Also working on alternate tools to select works
(e.g. text search in titles of works) Note: finds top 10 only To try it go in “Stefan” project and use his custom toolset called “Collection quick select demo”

20. Now you start rating your workparts (e,g
Now you start rating your workparts (e,g., from 1 to 5, or “sentimental” and “not sentimental”

22. Choose the analysis you want…

23. e.g. here to top N features returned by Naïve Bayes
(we don’t have meaningful example to show yet, we are working on loading Sara’s training data to get a good example.)

24. An example of data from Sara’s use case (not in Workbench)

25. An example of data from Sara’s use case (not in Workbench)

26. An example of decision tree from Sara’s use case (not in Workbench)

27. An old example of results from Dickinson use case in Nora

28. Example of finding from Martha:
“… erotic not just about romantic love or carnal attraction but rather a blend with spirituality, that may have an erotic charge.”

29. Study of patterns of repetition Use Case: Gertrude Stein
[1086] Always from the beginning there was to me all living as repeating. This is now a description of my feeling. As I was saying listening to repeating is often irritating, always repeating is all of living, everything in a being is always repeating, more and more listening to repeating gives to me completed understanding.

30. FeatureLens
Not in workbench

34. “The discussion of the children introduces each of the short internal
narratives. This champions the view that her method of repetition was patterned: controlled, intended, and a measured means to an end.“

35. “The discussion of the children introduces each of the short internal
narratives. This champions the view that her method of repetition was patterned: controlled, intended, and a measured means to an end.
It would have been impossible to discern through traditional reading“