essay · 2026-09-10

Cultural Ontology for AI

Research demonstrates that integrating Large Language Models (LLMs) with semantic web technologies creates an automated framework capable of constructing ontologies for abstract concepts without extensive manual curation. This is significant because it addresses the challenge where rapid digitization in fields like cultural heritage often overwhelms researchers with unstructured data, leaving them unable to create formal knowledge representations efficiently. The study explicitly mentions leveraging advanced models including ChatGPT-4 and GPT-4 alongside Gemini 2.0 flash-exp to extract entities from textual sources accurately. Furthermore, established methodologies such as Linked Open Terms (LOT) and NeOn provide the structured foundation that these automated systems build upon for specific purposes like describing socio-technical or cultural domains. For instance, projects aiming to map over 130,000 physical places across more than 300 European cities rely on similar interoperable structures to strengthen a sense of shared identity within their respective realms. The ability to construct traditional culture ontologies centered on representation further contributes significantly to

Sources

• DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering — 2023-08-03T08:03:19Z
• Ontology Engineering to Model the European Cultural Heritage: The Case of Cultural Gems — 2024-02-12T00:44:58Z
• Ontological Entities for Planning and Describing Cultural Heritage 3D Models Creation — 2021-06-14T10:10:23Z
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• Ontology (information science) - Wikipedia