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Cultural Heritage

Cultural heritage refers to the legacy of tangible and intangible cultural assets relating to a society inherited from previous generations

Resources

  • Digital Integrated Strategies to Safeguard Heritage Construction Technologies

    EN
    This international workshop, funded by the DARIAH Working Group Activities 2023-2025 programme, was organised by the CNR Institute of Heritage Science with the Cyprus Institute and the University of Catania, supported by the Municipality of Poggioreale. It addressed digital methods for conserving and reusing tangible and intangible construction heritage, highlighting Heritage Building Information Modelling for data acquisition, interoperability, and interdisciplinary collaboration.
    Authors
    • Elena Gigliarelli
    • Elena Verticchio
    • Filippo Calcerano
  • Digitization Workflow: Talk with Sorin Marti, a Data Steward's Perspective

    EN
    In this podcast, produced by virtualculture.ch, sociologist Jane Haller, Digitales Schaudepot president, is conversing with Sorin Marti, a data steward in the Research Infrastructure Support Entity (RISE) at the University of Basel to discuss aspects of data management for public consumption.
    Authors
    • Vera Chiquet
    • Jane Haller
    • Sorin Marti
  • Digitization Workflow: Talk with Esaù Dozio, a Curator's View

    EN
    In this podcast, produced by virturalculture.ch, Jane Haller, a sociologist, digital project manager, and president of the Digitales Schaudepot, is in conversation with Esaù Dozio, a curator at the Antikenmuseum Basel. Within their chat, they discuss the process of selecting items for special exhibitions, and the mistakes and challenges that can arise.
    Authors
    • Jane Haller
    • Esaù Dozio
    • Vera Chiquet
  • Born-Digital Research in the Humanities Course

    EN
    Born-digital culture refers to materials, environments and practices that originate in a digital form. In the 21st century these have rapidly expanded, with many of our contemporary cultural practices increasingly mediated in some way by digital media and technologies. In this course, designed by the Digital Humanities Research Hub at the School of Advanced Study, University of London, you will explore key concepts associated with digital culture and archives, ethical issues, and how to collect and analyse born-digital materials.
    Authors
    • Beatrice Cannelli
    • Caio Mello
    • Naomi Wells
  • 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.
    Authors
    • Aida Himmiche
  • 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).
    Authors
    • Franco Niccolucci
  • 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.
    Authors
    • Beatrix Howe
  • Introduction to the European Collaborative Cloud for Cultural Heritage

    EN
    The Cultural Heritage Cloud (ECCCH) is a major European initiative designed to provide heritage professionals and researchers with access to data and advanced digital tools. The goal of this course is to build learners’ foundational understanding of the key concepts and technologies necessary to engage with the cloud, demonstrate some of its practical tools and applications, and inspire their further exploration of digital transformation in the heritage and research domains.
    Authors
    • Toma Tasovac
    • Kerstin Arnold
    • Carla Figueira
  • 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.
    Authors
    • Fotis Giariskanis
  • Introduction to Europeana APIs

    EN
    This course provides a comprehensive understanding of Europeana as a digital platform through a walkthrough of the Application Programming Interfaces (APIs) it offers. It provides the knowledge and skills to understand the purpose they serve and the functionality they have, to exploit them by formulating efficient queries for cultural heritage information retrieval. Building on use cases, it delves into the APIs required to achieve research goals, exploring their features and providing familiarisation with supported data formats.
    Authors
    • Vicky Dritsou
  • Introduction to Cultural Heritage Data Modelling — with a focus on Europeana Data Model

    EN
    This course provides a comprehensive overview of cultural heritage data modelling, focusing on structuring and documenting information within the context of cultural heritage institutions. Participants will learn to represent information using entities and relationships, applying relevant metadata standards. The course emphasises the importance of understanding data models for reusing both data and metadata, with a specific focus on the Europeana Data Model (EDM) and its application in academic and research settings.
    Authors
    • Vicky Dritsou
  • Introduction to Cultural Heritage Data

    EN
    This course provides the essential knowledge and skills to understand and efficiently use Cultural Heritage data. Guided by Prof. Lorena, a persona created for the course, participants explore the significance of CH data, its types, and formats. They learn to identify sources for data acquisition and apply techniques to enhance data quality. The course also covers methods for organizing CH data, introduces key metadata standards, and examines current trends and technologies in the field.
    Authors
    • Vicky Dritsou
  • Introduction to Computer Science: Cloud Computing and Beyond

    EN
    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.
    Authors
    • Alessandro Costantini
  • Introduction to Collections as Data

    EN
    The goal of this course is to introduce the Collections as Data principles in the cultural heritage sector to make available a digital collection suitable for computational use. Students will have a fundamental understanding of the complexities of Collections as Data as well as an appreciation of the diversity of the content provided by cultural heritage institutions. This course will be useful for small and medium-sized institutions willing to make available their digital collections suitable for computational use.
    Authors
    • Gustavo Candela
  • 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.
    Authors
    • Achille Felicetti
  • 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.
    Authors
    • Lucía Iglesias Munoz
  • 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).
    Authors
    • Miriana Somenzi
  • 3D Acquisition Technique and Aware Heritage Modelling

    EN
    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.
    Authors
    • Andrea Sterpin