Knowledge Graph & Reasoning
Building structured knowledge representations for advanced reasoning
About This Project
This project involves creating a comprehensive knowledge graph from unstructured data sources such as Wikipedia or domain-specific documents. The knowledge graph represents entities, relationships, and attributes in a structured format that enables semantic queries and inference capabilities. The project includes building visualization tools for exploring the knowledge graph, developing SPARQL queries to extract insights, and implementing reasoning algorithms to derive new knowledge from existing facts. The system demonstrates advanced question answering capabilities based on the structured knowledge representation.
Core Concepts
- Knowledge representation models
- Entity-relationship extraction
- Semantic web technologies
- Graph-based reasoning techniques
- Ontology development and integration
- Information extraction from unstructured text
Key Knowledge/Skills
- Graph database architecture
- Information extraction techniques
- SPARQL query language
- Knowledge representation and semantic web
- Natural language understanding
- Graph analytics and visualization
Coursework Covered
Knowledge Representation & Semantic Web