Actor-network theory (ANT) as a preliminary approach to data modelling
Creators: name: Raemy, Julien A.
Publisher: name: Zenodo
Year: 2022
Subjects: ANT
Data modelling
Linked Art
Linked Open Data
IIIF
Linked Open Usable Data
Citizen Science
Participatory Knowledge Practices in Analogue and Digital Image Archives

description: As part of the Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) research project, the Knowledge Representation of cultural heritage resources, and mainly three photographic collections from the Swiss Society for Folklore Studies (SSFS), will be done using Linked Art, an RDF profile of the CIDOC-CRM ontology serialised in JSON-LD. This modelling will be carried out on the basis of the future SSFS Data Model as well as new assertions generated by the addition of end-user resources, the metadata enrichment via crowdsourcing as well as annotations created by Machine Learning methods notably through vitrivr, a multimedia retrieval system. For the design of the PIA Data Model, and more generally for any Knowledge Representation, questions arise as to what influences the various groups of individuals involved in the process have, firstly on each other, secondly on the manifestation of the model and subsequently on how this particular Knowledge Representation will impact the different stakeholders, once it is implemented but equally throughout its creation. A preliminary framework for analysing the process of creating the PIA Data Model is to look it through the actor-network theory (ANT) lens, a constructivist approach defined mainly by Bruno Latour. Looking at data modelling through the ANT lens will be documented on https://phd.julsraemy.ch/ Recording of the presentation: https://youtu.be/YBMbSbroTAU
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