Scholarlink

Documenting intangible cultural heritage (ICH), given its dynamic and embodied nature, presents inherent challenges for preservation. This paper proposes a comprehensive approach combining motion-capture (MoCap) technology with heritage ontologies to capture and semantically document intangible industrial craft gestures. A MoCap database is developed, based on the CIDOC Conceptual Reference Model (CIDOC-CRM) and mapped to the Europeana Data Model (EDM) to ensure interoperability and data exchange. The focus is on technical implementation, covering ontology mapping of MoCap data and metadata, serialization to RDF, deployment in a triplestore, and transformation of legacy metadata into this semantic framework. A case study on traditional industrial craft gestures from the AnDyDataset and new MoCap from Hauts-de-France industrial heritage videos demonstrates the approach, focusing on textile weaving and metalworking. Craftspersons’ gestures were recorded and represented as linked data, forming a knowledge graph connecting performance events, tools, and practitioners. Results show that using CIDOC-CRM and EDM allows for rich description of ICH events and MoCap recordings in a machine-readable, shareable form. This work contributes a model for safeguarding ICH via digital curation, discussing challenges in aligning motion data with heritage ontologies. Future work involves scaling the database and enhancing semantic alignment to preserve living heritage.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Exploring Semantic and Motion-Based Documentation for Intangible Cultural Heritage Integration

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Makram Mestiri,
  • Khadhar Meriem,
  • Jedidi Khalil,
  • Ali S. Kheyrabadi,
  • Zhivar Sedaghat,
  • Arnaud Huftier

摘要

Documenting intangible cultural heritage (ICH), given its dynamic and embodied nature, presents inherent challenges for preservation. This paper proposes a comprehensive approach combining motion-capture (MoCap) technology with heritage ontologies to capture and semantically document intangible industrial craft gestures. A MoCap database is developed, based on the CIDOC Conceptual Reference Model (CIDOC-CRM) and mapped to the Europeana Data Model (EDM) to ensure interoperability and data exchange. The focus is on technical implementation, covering ontology mapping of MoCap data and metadata, serialization to RDF, deployment in a triplestore, and transformation of legacy metadata into this semantic framework. A case study on traditional industrial craft gestures from the AnDyDataset and new MoCap from Hauts-de-France industrial heritage videos demonstrates the approach, focusing on textile weaving and metalworking. Craftspersons’ gestures were recorded and represented as linked data, forming a knowledge graph connecting performance events, tools, and practitioners. Results show that using CIDOC-CRM and EDM allows for rich description of ICH events and MoCap recordings in a machine-readable, shareable form. This work contributes a model for safeguarding ICH via digital curation, discussing challenges in aligning motion data with heritage ontologies. Future work involves scaling the database and enhancing semantic alignment to preserve living heritage.