Robust Interpretation of Historical Documents in Knowledge Graphs Through Query Inference and Execution
This paper introduces a semi-symbolic framework that integrates word-spotting techniques for post-OCR correction with a knowledge graph representation that enables the agent to access information through synthesized queries that are robust to misinterpretation and hallucination.