TimeLineCurator was created as part of a Master's thesis at the University of British Columbia, Canada and University of Munich (LMU), Germany.
Go to www.timelinecurator.org to see it running.
Here's a short video explaining TLC's purpose and functionality. The application is hosted on The Heroku Platform. More information, documentation and examples can be found on the project's page.
###Run application locally:
- Download ZIP
- Unpack it
- Open terminal
cdto folder- run
$ python app.py - open in browser (e.g. http://127.0.0.1:5000)
###The project's folder structure:
- nltk_data: Natural Language Toolkit for Python, necessary for splitting freeform text into sentences, tokenizing words etc.
- static: contains all static front-end files, like JavaScript files, stylesheets, images and example data
- templates: the HTML templates to which the flask app refers
- ternip: The "Temporal Expression Recognition and Normalisation in Python" library used to find temporal information inside the freeform text (project on GitHub)
- Procfile: declares how to run app dynos on Heroku platform
- app.py: Flask app that contains the Python commands and connects the front-end with the back-end
- requirements.txt: tells Heroku (where the app is hosted) what dependencies we need