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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 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 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.