Proposal submitted: XSEDE16TutorialProposal_v1.docx
Abstract
When: July 18th
Where
Tutorial Session Design
Introduction to Brown Dog
This is a presentation and demo of Brown Dog project and service
How to use Brown Dog Services
This is a session to teach how to use Brown Dog Services
- Demonstration of use of BD Fiddle
- Sign up for Brown Dog Service
- Obtain a key/token using curl or Postman
- Use token and bd fiddle interface to obtain to see BD in action.
- Copy paste the python code snnipet and use it the application to be explained next.
- Create an application/use case using BD services
Possible applications --
- Given a collection of images with text in it (or scanned handwritten documents image), try to search those images based on its content.
- One can upload images from local directory or use flicker API (??) to obtain images
- Write a Python script to upload all images to BD
- Make sure OCR (Census Extractor) is running
- Once technical metadata is obtained from BD, index it tags and technical metadata in an locally running Elasticsearch
- Search for the image using ES query
- Given a collection of text files from a survey or reviews for a book/movie, use sentiment analysis extractor to calculate the sentiment value for each file and group similar values together.
- Write a Python script to upload all files from a directory to the BD API
- Saves the results for each text file in a single file
- Create separate folders and move the file based on the value
- Use Wikipedia API
How to add Your Tool to Brown Dog Services
This is a session to teach how to add user's tool to Brown Dog Services