Digital Archive & Knowledge Graph Builder
Automates the creation of production-quality digital archives using AI-driven entity extraction and knowledge graph construction.
This skill provides a robust architectural framework for building sophisticated digital archives, specifically optimized for journalism, media studies, and academic research. Based on the methodology used in the Jay Rosen Digital Archive, it enables users to integrate multi-source data—including OCR newspaper scans, web articles, and social media transcripts—into a unified schema. It leverages AI models to automate thematic classification, extract key concepts, and identify complex relationships between entities, ultimately facilitating the construction of searchable knowledge graphs that reveal deep insights across large content collections.