Automatic Ontology Population from Textual Advertisements: LLM vs. Semantic Approach
Aya Sahbi, Céline Alec, Pierre Beust · Procedia Computer Science · 2024
Automatic ontology population involves identifying, extracting and integrating information from various sources to instantiate the classes and properties of an ontology, thereby building a domain Knowledge Graph (KG). In this paper, we compare two text-based ontology population techniques: KOnPoTe, a semantic approach based on textual and domain knowledge analysis, and a generative AI approach utilizing Claude, a Large Language Model (LLM). We present experiments conducted on two French sales advertisement domains: real estate and boats, and discuss the strengths and limitations of both approaches.