Building Noolaham knowledge graph

Summary: This project involves the creation of a structured, ontology-aligned graph that represents entities and their relationships derived from NLP-enriched corpus data. The knowledge graph models people, places, works, events, and concepts, enabling rich semantic linking across diverse materials in the Noolaham collection. By integrating temporal and contextual attributes, the graph supports advanced reasoning, inference, and complex queries that span documents, time periods, and thematic domains. This foundational layer enables interoperability across the Noolaham ecosystem, powering intelligent applications such as semantic search, contextual discovery, analytics, and AI-driven assistants while maintaining traceability to original source materials.