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