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This resource introduces the basic concepts of 3D modelling for cultural heritage, focusing on 3D acquisition techniques and the broader concept of Aware Heritage Modelling. Three modelling approaches are presented: source-based, reality-based and hybrid. In addition,the course addresses the role of critical documentation, AI and FAIR principles.

The resource explores how IoCT technologies power Reactive Digital Twins in ARTEMIS, transforming real-time data into intelligent actions for cultural heritage monitoring and protection.

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.

This resource introduces the fundamental concepts of cloud computing. Particular emphasis is placed on how cloud technologies support scalable, secure, and flexible environments for data storage, analysis, and application deployment.

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.

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).

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.

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.

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.

This resource introduces learners to audio material segmentation, transcription, text annotation and dictionary creating using the tools ELAN and FLEx.

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).

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.

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.

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.

This post is a quick reference guide to the DYLEN tool, an interactive visualisation tool that the Diachronic Dynamics of Lexical Networks project team created to provide insights into the dynamic lexical changes of Austrian German during the 21st century. It helps lexicographers and linguists to analyse the development of Austrian German lexemes over the course of time. It is an open source tool that can be used free of charge.

Diese Ressource stellt den Austria Media Corpus (amc) und seine Nutzungsmöglichkeiten vor. Sie erklärt die Durchführung von Abfragen in der corpus query engine namens Sketch Engine. Im Besonderen geht es um die Einführung in Sketch Engine's "Corpus Query Language" (CQL). Das Ziel des Tutorials ist es, den Benutzern des Austrian Media Corpus (amc) einen einfachen Einstieg in die Abfrage des amc mit der Sketch Engine und CQL zu ermöglichen. Daher ist das Tutorial bewusst in deutscher Sprache gehalten. Alle Beispiele im Tutorial sind direkt dem amc entnommen.