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How to Use e3

Setup of e3

In the following, three alternative ways to setup and use e3 are described. The order is from most to least convenient.

  1. Jupyterhub
    1. Create an issue stating your github username and the wish to have an account created. Wait for response from an admin on the created issue.
    2. Visit Jupyterhub @ eyeofjupyter.org
    3. Optionally organize your input files via new file/folder or file upload.
    4. Create a new e3 notebook (or other, depending on your preference), to run e3 commands.
  2. Docker image
    1. Install docker
    2. Run docker run rodenhausen\e3-docker-image
    3. Run e3 commands in the container
  3. Manual installation
    1. Setup e3

Demonstration of e3 Features

  1. Getting Started
  2. Viewing History and File System Footprint
  3. Settings
    1. Setting Configuration
    2. Setting Style
  4. Modifying Taxonomy Alignment Problems
    1. Viewing Taxonomy Alignment Problems
    2. Adding, Removing and Modifying Taxonomies
    3. Adding, Removing and Modifying Taxonomic Concepts
    4. Adding and Removing Articulations
    5. Setting Taxonomy Alignment Problem Constraints
    6. Loading Taxonomy Alignment Problems from File
    7. Naming Taxonomy Alignment Problems
  5. Reasoning over Taxonomy Alignment Problems
    1. Checking Consistency, Uniqueness, Ambiguity
    2. Checking Articulations
    3. Viewing Worlds
    4. Viewing Summary
    5. Viewing Ambiguity
    6. Viewing Inconsistency
    7. Viewing Four in One
    8. Viewing and Fixing Inconsistency
    9. Viewing Most Informative Relations
  6. Reasoning-informed Taxonomy Alignment Problem Modification
    1. Using Worlds to drive Taxonomy Alignment Problem
    2. Using minimal articulations to drive Taxonomy Alignment Problem
    3. Using maximal articulations to drive Taxonomy Alignment Problem
    4. Using minimal uniqueness to drive Taxonomy Alignment Problem
    5. Using minimal_inconsistency to drive Taxonomy Alignment Problem
    6. Using maximal_consistency to drive Taxonomy Alignment Problem
    7. Using maximal_ambiguity to drive Taxonomy Alignment Problem
    8. Creating Taxonomy Alignment Problems from Worlds
  7. Sharing
    1. Sharing Workspace (e3_data)
    2. Sharing State (.e3)

Showcases

  1. Census vs Timezone