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Swiss Art Research Infrastructure (SARI)

Workshop Semantic Reference Data Modelling (CIDOC 2024)

Semantic Reference Data Modelling. Documenting and Reusing Semantic Data Patterns for Sustainable Semantic Data Networks

Workshop at the CIDOC 2024 Conference, Rijksmuseum Amsterdam 
11 November 2024

This workshop presents the work of the Swiss Art Research Infrastructure (SARI) together with Takin.solutions on the creation of a methodology and standard for creating sustainable semantic data through the documentation and reuse of semantic data patterns. Ontologies like CIDOC CRM, RiCO and others provide a language through which to express and integrate museum and cultural heritage data; international collaborative projects like Linked.Art, SRDM and Europeana provide a specification for how to apply these. What is missing however is a common method for documenting and using such patterns. Such standardized meta documentation of semantic patterns themselves offers the possibility of making semantic data projects FAIR by enabling the easy, standardized learning, reuse and adoption of one or another semantic reference model. The workshop will introduce participants to the idea of semantic data patterns and semantic reference data pattern documentation. It will, moreover, introduce participants to the tool developed to support this process, Zellij, which creates a standard documentation format enabling the documentation and reuse of semantic data patterns. This documentation format enables different user groups (e.g.: scholars, developers, ETL specialists) to use a common means to talk about and plan the implementation of their semantic data network. Whether these users aim to follow an existing standard, to extend such a standard or create their own standard, Zellij enables the semantic data pattern documentation which makes these activities both easier and more sustainable. Participants will have the chance to work hands on with the ideas presented, using existing documented semantic data patterns from different projects to support real life semantic data modeling and manipulation tasks.