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Communication Dans Un Congrès Année : 2018

Interoperability of historical data and FAIR principles: an ontology management environment (OntoME) for sharing and aligning data models, ontome.dataforhistory.org

Francesco Beretta

Résumé

In the domain of historical data interoperability [1] one of the major points under discussion is about the possibility of sharing a common ontology for modelling the whole of human activities in the past. Historians generally think that data produced according to their research agenda in a specific research sub-domain are not reusable in other contexts. To cope with this issue the symogih.org project (Système modulaire de gestion de l'information historique)-started in 2008 with the aim of producing a virtual research environment for collaborative data production-applied a basic distinction between the research agenda of the scholar and the design of a data model conceived as the most objective possible representation of « historical facts ». This allowed the production of a shared vocabulary about specific sub-domains of historical research providing data interoperability among research projects hosted in the platform [2]. This perspective has been broadened since 2013 with the aim of sharing data produced in the symogih.org virtual research environment with other resources available on the semantic web using RDF technologies [3]. For this purpose the project adopted the CIDOC CRM as a conceptual framework which is not only a standardized (ISO 21127:2014) "formal ontology intended to facilitate the integration, mediation and interchange of heterogeneous cultural heritage information" but also a generic data model designed with holding the aim to "maintain and support a global knowledge network" [4]. Although this model is generally considered by specialists to be well suited for modelling data in humanities and especially in historical research [5], its high degree of abstraction-an indispensable condition for genericity-poses difficulties when used for data production in historical sub-domains. The solution recommended by the CRM consists in the creation of project-specific extensions but this operation is not easily accessible to the non-specialists. To support the process of CRM extensions management, and foster the coherence and interoperability of the ontology model development in the domain of historical research, an ontology management environment (OntoME) [6] is currently under development which is designed to facilitate the understanding of the CRM (and of other standardized ontologies and vocabularies) and the production of sub-domain specific extensions submitted to a validation process by the expert community. The platform will allow, on the one side, to import existing data models in the domain of historical research (or even in a wider spectrum) and to map them to the CRM classes and properties with the aim of providing interoperability for project data in the semantic web. On the other side, the platform will support a controlled development process of CRM extensions specific to sub-domains of historical research, allowing to produce explicit sub-classes and sub-properties of the existing, but more abstract ones, and to bundle them into application profiles which can be used for local data production. The paper will present the main components of OntoMe and provide an example of alignment with the CRM of some classes of the symogih.org ontology implemented in the SIPROJURIS project [7]. [1] Meroño
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Dates et versions

halshs-01973605 , version 1 (16-01-2022)

Identifiants

  • HAL Id : halshs-01973605 , version 1

Citer

Francesco Beretta. Interoperability of historical data and FAIR principles: an ontology management environment (OntoME) for sharing and aligning data models, ontome.dataforhistory.org. EADH 2018: "Data in Digital Humanities", Dec 2018, Galway, Ireland. ⟨halshs-01973605⟩
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