Chatbot-Based Ontology Interaction Using Large Language Models and Domain-Specific Standards

• URL: http://arxiv.org/abs/2408.00800v2
• Date: Thu, 17 Oct 2024 09:13:18 GMT
• Title: Chatbot-Based Ontology Interaction Using Large Language Models and Domain-Specific Standards
• Authors: Jonathan Reif, Tom Jeleniewski, Milapji Singh Gill, Felix Gehlhoff, Alexander Fay,
• Abstract summary: Large Language Models (LLMs) are employed to enhance SPARQL query generation. System converts user inquiries into accurate SPARQL queries. Additional information from established domain-specific standards is integrated into the interface.
• Score: 41.19948826527649
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The following contribution introduces a concept that employs Large Language Models (LLMs) and a chatbot interface to enhance SPARQL query generation for ontologies, thereby facilitating intuitive access to formalized knowledge. Utilizing natural language inputs, the system converts user inquiries into accurate SPARQL queries that strictly query the factual content of the ontology, effectively preventing misinformation or fabrication by the LLM. To enhance the quality and precision of outcomes, additional textual information from established domain-specific standards is integrated into the ontology for precise descriptions of its concepts and relationships. An experimental study assesses the accuracy of generated SPARQL queries, revealing significant benefits of using LLMs for querying ontologies and highlighting areas for future research.

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