The data within collections from all Digital Humanities fields must be trustworthy. To this end, both provenance and change-tracking systems are needed. This contribution offers a systematic review of the metadata representation models for provenance in RDF, focusing on the problem of modelling conjectures in humanistic data.
Affinché i metadati all'interno delle collezioni digitali siano affidabili sono necessari sia sistemi di tracciamento delle modifiche che della relativa provenance. Questo contributo offre una revisione sistematica dei modelli di rappresentazione dei metadati per la provenance in RDF, concentrandosi sul problema della modellazione delle congetture nei dati umanistici.
Arcangelo Massari, Silvio Peroni, Francesca Tomasi, Ivan Heibi (2023). Representing provenance and track changes of cultural heritage metadata in RDF: a survey of existing approaches [10.48550/arxiv.2305.08477].
Representing provenance and track changes of cultural heritage metadata in RDF: a survey of existing approaches
Arcangelo Massari;Silvio Peroni;Francesca Tomasi;Ivan Heibi
2023
Abstract
The data within collections from all Digital Humanities fields must be trustworthy. To this end, both provenance and change-tracking systems are needed. This contribution offers a systematic review of the metadata representation models for provenance in RDF, focusing on the problem of modelling conjectures in humanistic data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
