• Flask application home.

• Parses XML file for faculty names and URIs and stores in an internal list. Contains functions for searching for a URI.

• Python module requirements

• Contains committee member names and URIs

• Pipe delimited file containing committee member names, roles, and associated thesis/dissertation PDFs. Was used for testing purposes

To run reconciliation Flask service run python app.py while in MADs-reconcile directory. If passing in XML document as command line argument, run with python app.py <xml file>. Make sure XML document is in the same directory as the application. Additionally, do not run with flask run, as it messes up command line arguments.

With OpenRefine running, the Flask application running, and a project opened, run the following steps:

1. Select a column containing names in indirect order, ex. Smith, John L.
2. Click reconcile
3. Click start reconciling (Proceed to Step 5 if service is already added)
4. Select "Add Standard Service" and supply the following URL http://127.0.0.1:5000/reconcile/mads.
5. Select "MADs Reconciliation Service"
6. Supply max # of candidates to return (default is 3)
7. Select "Start Reconciling..."

After the reconciliation service finishes, perfect matches with a score of 1.0 will be automatched to their correponding cell. Matches with a score of .8 and a score of .75 are not exact matches, but pretty close, likely matching on the last name and the first name. Matches with a score of .5 only matched on the last name, so confidence is pretty low that these are the correct matches. Matches with a non-perfect score must be manually reviewed to select the best match.

If only one match is found for a name, the application will automatch it. Comment this out if desired.

Additionally, if two matches are found for a name, the application will automatch on the one with a higher score. Again, comment this out if desired.