Archival Finding Aids in Linked Open Data between description and interpretation

Abstract

The Semantic Web in general, and the LOD in particular, suppose that the knowledge conveyed by documents must be adequately modeled and represented to produce reliable and trustworthy data. Following this statement, we understand that in the archival domain the tricky and subtle transition from the traditional methodologies for data description to Linked Open Data must be delegated to agents able to skilfully read the content of cultural objects. The Digital Hermeneutics model aims to propose a layered architecture that allows, beyond the descriptive specificities of each domain, to formalize the data transformation from the native system to LOD. The idea is to guarantee, through context information, that each moment of the transformation workflow is documented, finally strengthening the trust of the resultant dataset.