GraphEngine Knowledge Graph Development Suite

A comprehensive resource collection for semantic knowledge graph engineering using Microsoft Trinity Graph Engine (TGE) with formal ontology integration.

📚 Resources & Publications

New Technical White Papers

• Unlocking the Power of Knowledge Graphs: Trinity Graph Engine and BFO 2020 Ontology Integration
  Explores the transformative potential of integrating TGE with the Basic Formal Ontology (BFO) 2020 Common Logic framework, providing both theoretical foundations and practical implementation patterns.

Developer Guides

• Developer Setup Guide: Trinity Graph Engine with LIKQ
  Comprehensive instructions for setting up a development environment for TGE with LIKQ capabilities, including installation, configuration, and deployment considerations.

• Comprehensive LIKQ Programming Examples for Trinity Graph Engine Data Structures
  Extensive collection of programming examples demonstrating advanced LIKQ implementation patterns for various graph structures.

• Comprehensive Guide to Advanced Graph Data Structures in Trinity Graph Engine
  Detailed exploration of TSL schema definitions, implementation strategies, and ontological analysis for complex graph structures.

Book in Progress

• Microsoft Graph Engine Developer's Guide (First 4 chapters nearly complete)
  A comprehensive guide for developers looking to master Graph Engine for knowledge graph applications.

🔬 Exploration Areas

Graph Theory & Implementation

• RDF Triple & Graph Theory and Practice

  • Core concepts and implementation patterns
  • Performance optimization strategies
  • Distributed graph processing

• HyperGraph & MultiGraph Models

  • Hypergraph theory and implementation with TSL
  • Property graph modeling techniques
  • Multi-graph traversal and query optimization

Data Modeling & Representation

• TSL Data Modeling

  • RDF/RDFS representation in TSL
  • Attribute-based metadata tagging
  • Integration with predicate logic (First-order, Second-order)
  • Guan Logic Programming SDK integration

• Ontology Engineering

  • BFO 2020 Upper Ontology integration with TSL
  • OREO Upper Ontology mapping
  • IAO (Information Artifact Ontology) implementation
  • SKOS, OWL 2 DL, and RDF/RDFS modeling
  • Custom People & Contact ontologies based on BFO/IAO

Query & Traversal Techniques

• LIKQ (Language Integrated Knowledge Query)

  • Client-side vs. Server-side implementation
  • Design patterns and best practices
  • Comparison with SPARQL/SHACL
  • Performance optimization strategies

• Graph Traversal Algorithms

  • BFS, DFS, and backtracking implementations
  • Type-constrained path finding
  • Semantic reasoning using LIKQ with ontologies
  • Pattern mining and motif detection

Advanced Programming Patterns

• Generic Programming with Graph Engine

  • Server-side generic implementations
  • Attribute-based markup for semantic enrichment
  • Graph Engine Adapters using Graph Engine Generics

• Reactive Programming Integration

  • Symmetric reactive eventing
  • Integration with ReactiveX, MessagePipe, Orleans, and Akka.NET
  • Push automation techniques

Architecture & Deployment

• Graph Engine Runtime Management

  • Hosting options and deployment models
  • Scaling strategies for enterprise deployments
  • Memory management and optimization
  • Distributed processing techniques

• Integration Patterns

  • Legacy data ingestion automation
  • Symmetric networking with reactive callbacks
  • External system integration strategies

💻 Demo Solutions & Code Examples

This repository contains multiple demo solutions created with Visual Studio 2022, using C# 10.x:

• Console applications
• WPF/WinUI/MAUI projects
• Server components

All examples center around semantic modeling in the Real Estate domain, demonstrating:

• Ontology-driven data modeling
• Complex graph traversal techniques
• Semantic reasoning with formal ontologies
• UI integration for knowledge graph visualization and interaction

🔧 Getting Started

1. Clone this repository
2. Install prerequisites (.NET 9.0, Visual Studio 2022)
3. Explore the demo solutions in the /Demos directory
4. Refer to the Developer Setup Guide for environment configuration
5. Review the technical white papers for conceptual background

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

📧 Contact

For technical support, implementation assistance, or additional information about integrating Trinity Graph Engine with formal ontologies, please contact the author at [email protected] or visit www.rocketurbiz.com.