Digital and engineering

OntoBot

Artificial IntelligenceKnowledge GraphsLLMOntologies

Intelligent conversational assistant for ontology exploration and querying

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Ref. No.: MA00768

Summary

Karim Ghoufiri

Business Developer

TECHNOLOGY

  • Intelligent software module enabling users to explore, query and synthesize structured knowledge within ontologies through a natural language conversational interface

  • Technology combining large language models (LLMs) with an autonomous agent capable of navigating knowledge graphs and reproducing certain aspects of expert reasoning

  • Approach designed to simplify access to complex information without requiring technical expertise in knowledge base querying

  • Solution aiming to reduce hallucination risks, lower energy consumption and improve answer traceability through structured and transparent knowledge exploration

MARKET

  • Industrial and technology companies using structured knowledge bases and domain-specific ontologies

  • Software providers specializing in artificial intelligence, knowledge management and information systems

  • Research institutions and organizations handling complex datasets requiring reliable knowledge exploration and interpretation.

  • Potential applications in decision support, technical information retrieval and intelligent user assistance

DEVELOPMENT STATUS

  • TRL 4 – Functional software prototype developed, tested and validated in a laboratory environment

  • Successful validation of the conversational agent on a small-scale ontology

  • Demonstrated ability to explore structured knowledge bases and deliver information through natural language interactions

  • Technology ready for industrial testing on larger ontologies to assess performance and robustness under real-world conditions

IP

  • Software developed

VALORISATION STRATEGY

  • Seeking industrial partners for co-development and integration into existing knowledge management solutions

  • Opportunity for direct technology licensing to an industrial partner