ARTEMIS

Resources

• The Intelligent Twin: Understanding the Past, Navigating the Future with AI

  EN

  This resource provides an overview of how Artificial Intelligence and semantic technologies can support the development of Intelligent Digital Twins for cultural heritage. It explores semantic search systems, vector embeddings, predictive modelling, and simulation environments capable of transforming fragmented datasets into accessible and meaningful knowledge.

• The ARTEMIS project

  EN

  This resource introduces the pillar concepts of the ARTEMIS project: the Heritage Digital Twin (HDT), the ARTEMIS ontology, the Knowledge Base (KB) and the Reactive Heritage Digital twin (RHDT).

• Strategic Validation in Complex Spatial Simulation projects

  EN

  This resource explores the challenges of validation within complex spatial simulation projects. Drawing on practical examples connected to ARTEMIS activities, the session discusses how complexity emerges from interconnected data flows, historical accuracy requirements, simulation layers, and collaborative workflows.

• Semantic and Interoperable Digital Models: Enabling the Reactive Heritage Digital Twin Framework

  EN

  This resource is an introduction to building semantic and interoperable digital models for Reactive Heritage Digital Twins (RHDTs). It show how the respective ontology and CIDOC-CRM aligned modules enable interoperability across domains and support reasoning within the ARTEMIS Knowledge Base.

• Reconstruction Of Archaeological Objects As A Digital Twin

  EN

  This resource aims to acquaint both DH experts and the general audience with the general idea, the workflows and advantages of transforming manual object reassembly and restoration into a digital twin.

• Introduction to shared AR/VR environments for collaborative exploration

  EN

  This resource introduces the fundamental concepts of Augmented Reality (AR) and Virtual Reality (VR), presents contemporary AR/VR headsets and their capabilities and explains how immersive technologies can support the use of Reactive Heritage Digital Twins (RHDTs) for information visualization, annotation and collaborative interaction within virtual environments.

• Heritage Digital Twins: A Semantic Approach to Cultural Knowledge

  EN

  This resource explores how a digital twin can represent, connect, and reason about entities of the real world through structured knowledge. It defines a semantically grounded approach to knowledge integration, management, and reasoning in the Cultural Heritage domain.

• From immersive storytelling to experimentation in a multiscale modelling approach

  EN

  This resource focuses on immersive environments and multi-scale digital models as tools for scientific research, interpretation, and collaborative decision-making. Through examples ranging from biological systems and agriculture to archaeological reconstructions and heritage site analysis, it demonstrates how virtual reality (VR) technologies, digital twins, and semantic data integration can enhance the understanding of complex datasets and spatial environments.

• Digitization in Heritage: for conservation, risk prevention and simulation

  EN

  This resource discusses the risks that cultural heritage faces at the moments and the needs that digital technologies must meet to prevent those risks. The course presents frameworks, guidelines and policies that surround heritage risk management and best practices.

• Designing the backbone of the RHDT using AI and Network Science

  EN

  This resource discusses how the ARTEMIS project combines artificial intelligence, network science, knowledge graphs, and semantic ontologies to transform unstructured cultural heritage data into structured, machine-readable knowledge supporting Reactive Heritage Digital Twins (RHDTs).