PHAROS-photoarchives / Zeri-Foundation

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Zeri Foundation data sample

The repository contains two directories including respectively 100 XML files, describing photographs and artworks depicted in photographs, and 100 RDF/XML files, i.e., the output of the convesion of former XML files according to CIDOC-CRM and other few ontologies - see Ontologies section.

N.B. Data will be slightly modified soon, so as to be compliant with aac mapping rules.

Licenses

Data here published: CC-O. Complete RDF dataset: CC-BY 4.0. Documentation: CC-BY 4.0.

The RDF Dataset

The RDF dataset published by the Zeri Foundation is available at the Zeri & LODE project web page. Here you'll find several data access points - like a SPARQL endpoint wherein directly query the triplestore, or a RDF Browser to browse links in a user-friendly way. A dump can be downloaded from AMSActa institutional repository.

Ontologies

Data are mainly converted to RDF/XML according to CIDOC-CRM. Few relations and classes belong to other ontologies, since CIDOC-CRM doesn't provide a comprehensive description of topics that are relevant to understand Zeri's data. Indeed, the aim is to integrate CIDOC-CRM.

All terms belonging to ontologies but CIDOC-CRM, have been imported in two specular ones for the sake of clarity, namely:

Imported ontologies and used as modular, task ontologies, i.e., they are used to cover specific topics, namely:

Mapping cataloguing rules to RDF

Zeri catalog entries conform two national content standards, called respectively Scheda F - photography - and Scheda OA - artwork.

Two mapping documents have been realized to explain the alignments from content standard fields to CIDOC-CRM and aforementioned ontologies, i.e., FtoRDF and OAtoRDF.

An graphical overview of the two mappings can be found in "mapping" directory.

Main publication (forthcoming)

Marilena Daquino, Francesca Mambelli, Silvio Peroni, Francesca Tomasi, Fabio Vitali. 2016. Enhancing semantic expressivity in the cultural heritage domain: exposing the Zeri Photo Archive as Linked Open Data. arXiv.org. arXiv:1605.01188