KNowNEt:Guided Health Information Seeking from LLMs via Knowledge Graph Integration.

ABSTRACT: The increasing reliance on Large Language Models (LLMs) for health information seeking can pose severe risks due to the potential for misinformation and the complexity of these topics. This paper introduces KnowNet a visualization system that integrates LLMs with Knowledge Graphs (KG) to provide enhanced accuracy and structured exploration. Specifically, for enhanced accuracy, KnowNet extracts triples (e.g., entities and their relations) from LLM outputs and maps them into the validated information and supported evidence in external KGs. For structured exploration, KnowNet provides next-step recommendations based on the neighborhood of the currently explored entities in KGs, aiming to guide a comprehensive understanding without overlooking critical aspects. To enable reasoning with both th

SUBMITTER: Yan Y 

PROVIDER: S-EPMC11875928 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature