Work

PANOPTES: A Digital Twin Ontology for Cultural Asset Management

Year: 2025

Type: conference-paper

Abstract: In this paper we present PANOPTES, a digital twin ontology designed to support dynamic monitoring, predictive analytics, and decision-making in the management of cultural heritage assets. Building on standards such as CIDOC CRM, SOSA/SSN, PROV-O, GeoSPARQL, and OWL-Time, PANOPTES introduces a unified semantic model that represents assets, observations, diagnoses, predictions, threats, and decision processes. The ontology naturally maps to a relational backend, enabling efficient data ingestion, traceability, and operational deployment. Application scenarios include condition monitoring, risk forecasting, emergency response, and preventive conservation planning. PANOPTES enables structured monitoring, predictive threat modeling, and decision support for the preventive conservation of cultural heritage assets, particularly in remote and infrastructure-poor sites.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16633602

Authors: Pavlidis, George, Sevetlidis, Vasileios, Arampatzakis, Vasileios

Institution: Athena Research and Innovation Center In Information Communication & Knowledge Technologies

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: Non-destructive, scalable, smart monitoring of remote cultural treasures