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

Metadata Offer New Knowledge A project that brings together

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Slides showing what we have working now in Monk Last updated May 6, 2008 (by Catherine) Based on slides used at NEH meeting May 5 th for a quick demo to Million Books Contest meeting. Metadata Offer New Knowledge A project that brings together humanists, computer scientists - PowerPoint PPT Presentation

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Slides showing what we have working now in Monk

Last updated May 6, 2008(by Catherine)

Based on slides used at NEH meeting May 5 th for a quick demo to Million Books Contest meeting

Metadata Offer New KnowledgeA 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 ApplicationsNorthwestern University Academic TechnologiesUniversity of Maryland Human-Computer Interaction Laboratory Maryland Institute for Technology in the HumanitiesUniversity of Alberta Department of English MacMaster University Humanities VisualizationUniversity of Nebraska, Lincoln Center for Digital Research in the Humanities

Focus on 18th and 19th Century British and American LiteratureFocus on 18th and 19th Century British and American Literature

Web-deliverable services, Visualizations, Text miningWeb-deliverable services, Visualizations, Text mining

Mellon FundedMellon Funded

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

Early Explorations

Nora – ClassificationJCDL 06, DH 2006

FeaturelensMine patterns of repetitionDH 2007, CIKM 07

Select a toolset

e.g. Simple Chart

Simple chart will show overview of collections using simple charts

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

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

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

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

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

• 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.

• 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”

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

Choose the analysis you want…

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.)

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

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

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

An old example of results from Dickinson use case in Nora

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.”

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.

FeatureLensNot in workbench

“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.“

“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“