LLM-Driven Ontology Construction for Enterprise Knowledge Graphs

• URL: http://arxiv.org/abs/2602.01276v1
• Date: Sun, 01 Feb 2026 15:13:30 GMT
• Title: LLM-Driven Ontology Construction for Enterprise Knowledge Graphs
• Authors: Abdulsobur Oyewale, Tommaso Soru,
• Abstract summary: This paper introduces OntoEKG, a pipeline designed to accelerate the generation of domain-specific unstructured from enterprise data.<n>Our approach decomposes the modelling task into two distinct phases: an extraction module that identifies core classes and properties, and an entailment module that logically these elements into a hierarchy before serialising them into standard RDF.<n>Addressing the significant lack of comprehensive benchmarks for end-to-end construction, we adopt a new evaluation dataset derived from documents across the Data, Finance, and Logistics sectors.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Enterprise Knowledge Graphs have become essential for unifying heterogeneous data and enforcing semantic governance. However, the construction of their underlying ontologies remains a resource-intensive, manual process that relies heavily on domain expertise. This paper introduces OntoEKG, a LLM-driven pipeline designed to accelerate the generation of domain-specific ontologies from unstructured enterprise data. Our approach decomposes the modelling task into two distinct phases: an extraction module that identifies core classes and properties, and an entailment module that logically structures these elements into a hierarchy before serialising them into standard RDF. Addressing the significant lack of comprehensive benchmarks for end-to-end ontology construction, we adopt a new evaluation dataset derived from documents across the Data, Finance, and Logistics sectors. Experimental results highlight both the potential and the challenges of this approach, achieving a fuzzy-match F1-score of 0.724 in the Data domain while revealing limitations in scope definition and hierarchical reasoning.

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