Question answering system for chemistry—a semantic agent extension

• Main Authors: Zhou, Xiaochi, Nurkowski, Daniel, Menon, Angiras, Akroyd, Jethro, Mosbach, Sebastian, Kraft, Markus
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Semantic agent; Knowledge graph
• Online Access: https://hdl.handle.net/10356/173757
• Institution: Nanyang Technological University

This paper introduces an extension of a previously developed question answering (QA) system for chemistry, operating on a knowledge graph (KG) called Marie. This extension enables the automatic invocation of semantic agents to answer questions when static data is absent from the KG. The agents are s...