Neurosymbolic AI bridges this gap. Symbolic reasoning enables the system to represent knowledge using logic-based rules, ...

In recent years, Retrieval Augmented Generation (RAG) systems have made significant progress in extending the capabilities of Large Language Models (LLM) through external retrieval. However, these ...

Abstract: Rule induction is an important approach for reasoning over Knowledge Graphs. Existing works mainly rely on searching for rule instances within the Knowledge Graph to induce rules. However, ...

Objectives Little prior research investigated how to promote physical activity (PA), which can reduce cancer risk, to immigrant women. The overall aim of the current study was to pilot test education ...

Abstract: Knowledge reasoning technology is a method proposed to solve missing problems in knowledge graphs, which has been developing in recent years. In order to solve the problems of low accuracy, ...