D4.10 Workflow and requirements to ensure interoperability for Cultural Heritage Resources

The Humanities and Cutural Heritage Open Science Cloud (H2IOSC) project aims to create a federated network of Italian nodes to support four European Research Infrastructures in the Humanities and Cultural Heritage sectors: DARIAH, CLARIN, OPERAS, and E-RIHS. By integrating digital resources, physical instruments, archives, and data services, H2IOSC seeks to advance data-driven research and digital transformation across cultural and creative fields, aligning with FAIR principles for data accessibility.Within the project, the Institute of Heritage Science (CNR-ISPC) is instrumental, particularly its Milan branch, which leads Task 4.10 focused on “Resources Interoperability: DIGILAB Resources (E-RIHS)” as part of Work Package 4 (WP4). This task emphasizes the mapping of formats, standards, and ontologies essential for Heritage Science, aiming for cross-domain integration and semantic interoperability through DIGILAB—a collaborative platform for data sharing and virtual research in Heritage Science. Key outputs include a semantic mapping of resources and the development of a specialized Heritage Science ontology compatible with international standards like CIDOC CRM. An annex, developed by ISPC’s Lecce branch, further supports interoperability for pilot projects in WP7, with specific applications in illuminated manuscript and diagnostic ontology extensions.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-11
DOI
https://doi.org/10.5281/zenodo.15007235
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

D4.10 Workflow and requirements to ensure interoperability for Cultural Heritage Resources

Zenodo (CERN European Organization for Nuclear Research)
Semantic Web and Ontologies
article

D4.10 Workflow and requirements to ensure interoperability for Cultural Heritage Resources

article en

Abstract

The Humanities and Cutural Heritage Open Science Cloud (H2IOSC) project aims to create a federated network of Italian nodes to support four European Research Infrastructures in the Humanities and Cultural Heritage sectors: DARIAH, CLARIN, OPERAS, and E-RIHS. By integrating digital resources, physical instruments, archives, and data services, H2IOSC seeks to advance data-driven research and digital transformation across cultural and creative fields, aligning with FAIR principles for data accessibility.Within the project, the Institute of Heritage Science (CNR-ISPC) is instrumental, particularly its Milan branch, which leads Task 4.10 focused on “Resources Interoperability: DIGILAB Resources (E-RIHS)” as part of Work Package 4 (WP4). This task emphasizes the mapping of formats, standards, and ontologies essential for Heritage Science, aiming for cross-domain integration and semantic interoperability through DIGILAB—a collaborative platform for data sharing and virtual research in Heritage Science. Key outputs include a semantic mapping of resources and the development of a specialized Heritage Science ontology compatible with international standards like CIDOC CRM. An annex, developed by ISPC’s Lecce branch, further supports interoperability for pilot projects in WP7, with specific applications in illuminated manuscript and diagnostic ontology extensions.

Zenodo (CERN European Organization for Nuclear Research)
Consorzio Roma Ricerche (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Semantic Web and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.