• kastle-drawbridge is the formulation of a "zero-to-hero" curriculum for learning and using knowledge graphs. It assumes no code experience, and runs you through being able to develop a knowledge graph, and query against it.

• The purpose of this directory is to familiarize a student to the field of Computer Science and the aspects of programming. This directory will walk a student through how to use Python as a programming language.
  • This entails Data Structures, that is creating and understanding dictionaries and lists through examples illustrating their usage for storing and retrieving information.
  • Also, I/O manipulation with practical examples while also creating, navigating and manipulating directories.

• The purpose of this directory contains details on how to create, utilize, and apply a knowledge graph. This directory inherits information from kastle-lab\cs7810-intro-to-ke and The KGC Open KG Curriculum
• Since the student is expected to be familiar with the foundations mentioned above, the next step would be to advance the learning with the RDFLib starter code as a first exposure to creating KGs.
• This directory will also guide a student to understanding the concept of a turtle ("ttl") file, introducing examples to navigate and validate a knowledge graph in this format.

Contains the following:

• programatically-querying-a-knowledge-graph.ipynb: Documentation on querying a knowledge graph programatically

• playground-startup.md: reference documentation for installing and using the playground image file.

• rdflib-starter.py: provides barebones foundation to begin materialization of data into triples

• Foundry: another materialization tool that parses based on YAML mapping files

• Weeks 1-2: Introduction to Python Basics

  • Introduction to Python syntax and basic programming concepts.
  • Variables, data types, and basic operations in Python.

• Week 3: Intermediate Python Programming

  • Control flow statements (if, else, loops).
  • Functions and modules in Python.

• Week 4: Introduction to Ontology and Use Case Documentation

  • Understand the basics of ontology and its applications.
  • Learn to document use cases that guide the ontology development process.
  • Introduction to KASTLE lab resources for Ontology Development (Foundry, rdflib-starter.py)

• Weeks 5-6: Competency Questions and Schema Design with yEd

  • Understand the importance of competency questions in guiding ontology development.
  • Introduction to yEd for designing schema diagrams.

• Weeks 6-7: Ontology Development with Protégé

  • Use Protégé or a similar ontology editor for creating and visualizing ontologies.
  • Understand ontology design concepts and best practices.

• Week 8: Knowledge Graph Building and Project Development

  • Building a simple knowledge graph using Python, RDFLib, and ontologies.
  • Work on a final project, applying ontology building and Python development skills to create a knowledge graph.

• Week 9: Triplestore Basics and Jena Fuseki

  • Introduction to triplestores, such as Jena Fuseki, and their role in storing and querying RDF data.
  • Setting up Jena Fuseki: Learn how to set up and use Jena Fuseki.

• Code in this repository (including scripts, notebooks, and implementations) is licensed under the Apache License 2.0.
• Educational content (Markdown tutorials, guides, documentation, diagrams) is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

By contributing, you agree to license your contributions under these same terms.