PhD in RT2: Classifying and Naming Objects

Artificial Intelligence and Women of the Bronze Age Aegean: Constructing an Ontology of Female Representations in Archaeology (WP2, RT2)

PhD Candidate:
Melissa Bergoffen (ORCID: https://orcid.org/0009-0008-1737-4371)

Keywords:
AI Technology, Bronze Age Aegean, CIDOC CRM, FAIR Principles, Feminist Archaeology, Iconographic Analysis, Material Culture, Ontologies/Ontoterminologies.

Project Aims:

  • To create a central repository for Bronze Age Aegean artifacts depicting female representations.
  • To implement a consistent and replicable methodology for retaining iconographic metadata (and other relevant archaeological metadata such as provenance) through ontologies/ontoterminologies.
  • To explore the benefits (and issues) of utilizing AI Technology within the field of Archaeology.

Potential Impact:

  • Capacity to ask micro- and macro-scale questions about Bronze Age Aegean iconographic artifacts depicting female figures.
  • Ability to reuse iconographic framework to standardize descriptive metadata across cultural heritage institutions.
  • Aptness to manage large amounts of archaeological data that is more easily findable and accessible.

Deliverables:

  • PhD Thesis
  • Web Application (AI-compatible database)
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