CAG’s Documentation

Corpus Analytics Graph (CAG) serves as an architectural framework for creating graphs, extending them, and analyzing them.

CAG…

• is a Python library.

• sets an _infrastructure for your project to load your data into a graph but you still have to do the main work.

• provides and annotation framework to extend your nodes.

• provides and annotation framework to extend your nodes.

You can get started here to see a quick sample on how to create a graph from raw data and or extend your graph using our annotation framework.

For more details about general CAG concept please visit CAG Concept .

For more details about the CAG’ components: Graph Creator and Graph Annotator .

• CAG Concept
  • The Main Component:
  • Graph-Creator (GC)
  • Graph-Annotator
• Quick Start
  • Installation
  • Requirement
  • Build your First Graph
  • Annotate your First Graph
• Graph-Creator
  • 1. Define your Ontology
  • 2. Define Graph Elements
  • 3. Create Graph Elements
  • 4. Create Graph Creator
• Graph-Annotator
  • Textmining annotator
  • General annotator
• Extra Feature: The Arango View Wrapper
  • Create an arango analyzer
  • Create a link with fields
  • Create the View