Archive for the ‘Data Mining’ Category

  • Visual Historiography: Tools for Analyzing/Visualizing Journal Content


    As digital editor of the Florida Historical Quarterly (a newly created position), I’m working with colleagues at UCF, Ohio State, and U.Va. on a project exploring the use of human-assisted machine reading to reveal historiographical shifts/lags and map significant patterns (geospatial, temporal, etc.) using the journal’s JSTOR-accessible 1925-2009 corpus. To date we’ve employed, in various combinations, Zotero Groups, Paper Machines, JSTOR Data for Research, and OpenAmplify/Open Calais. At THATCamp’s FHQ workshop (scheduled for 3 pm Saturday) we look forward to demonstrating these tools and reporting some very encouraging — though still very preliminary — results.

    Faculty researchers on this project are David Staley, Ohio State; Bill Ferster, University of Virginia; Connie Lester, Dan Murphree, and Scot French, University of Central Florida. Research assistance is being provided by Ohio State Students Shauna Hann and Erin Tobin and FHQ intern Sarika Joshi.


  • Mobile Application for Humanities Research (MAFHR)


    I’m interested in developing a mobile application for field research. My goal is to use mobile phone’s functionality to create a versatile data collection tool.  The app I envision allows the user to collect and organize information.  I believe the app’s design can be structured in a way to allow users to collect, correlate, and upload data to a repository with both predefined and manually designated content tags. Growing from previous experience using technology in the classroom, MAFHR is intended to be an app for student researcher. I believe MAFHR can function as a powerful teaching tool by guiding student users with research goals, prompting permissions linked to visual or audio data, and provide geographic information for all data collected. MAFHR should allow users to upload information to a centralize location and it should allow users to interact with data already in the research database.

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