2026-08-14T23:37:27Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:20097 2026-01-26T13:48:31Z ddc:004 open_access

Explaining Enterprise Knowledge Graphs with Large Language Models and Ontological Reasoning Baldazzi, Teodoro Bellomarini, Luigi Ceri, Stefano Colombo, Andrea Gentili, Andrea Sallinger, Emanuel Atzeni, Paolo provenance ontological reasoning language models knowledge graphs In recent times, the demand for transparency and accountability in AI-driven decisions has intensified, particularly in high-stakes domains like finance and bio-medicine. This focus on the provenance of AI-generated conclusions underscores the need for decision-making processes that are not only transparent but also readily interpretable by humans, to built trust of both users and stakeholders. In this context, the integration of state-of-the-art Large Language Models (LLMs) with logic-oriented Enterprise Knowledge Graphs (EKGs) and the broader scope of Knowledge Representation and Reasoning (KRR) methodologies is currently at the cutting edge of industrial and academic research across numerous data-intensive areas. Indeed, such a synergy is paramount as LLMs bring a layer of adaptability and human-centric understanding that complements the structured insights of EKGs. Conversely, the central role of ontological reasoning is to capture the domain knowledge, accurately handling complex tasks over a given realm of interest, and to infuse the process with transparency and a clear provenance-based explanation of the conclusions drawn, addressing the fundamental challenge of LLMs' inherent opacity and fostering trust and accountability in AI applications. In this paper, we propose a novel neuro-symbolic framework that leverages the underpinnings of provenance in ontological reasoning to enhance state-of-the-art LLMs with domain awareness and explainability, enabling them to act as natural language interfaces to EKGs. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Teodoro Baldazzi and Luigi Bellomarini and Stefano Ceri and Andrea Colombo and Andrea Gentili and Emanuel Sallinger and Paolo Atzeni 2024 Is Part Of OASIcs, Volume 119, The Provenance of Elegance in Computation - Essays Dedicated to Val Tannen (2024) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.Tannen.1 urn:nbn:de:0030-drops-200971 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Tannen.1 eng https://creativecommons.org/licenses/by/4.0/legalcode