Operationalizing Context: Contextual Integrity, Archival Diplomatics, and Knowledge Graphs
Abstrak
Protecting privacy has become a pressing problem for archives, which are mandated with providing access to enormous volumes of records, both analogue and digital, with limited resources. Content-driven solutions, including anonymization and pseudonymization as well many automated solutions, have delivered unsatisfactory results, with many records being broadly restricted. In this paper, we lay out the theoretical framework for a context-based AI privacy solution for archival records, combining three approaches to “context” (contextual integrity, archival diplomatics, and knowledge graphs). This framework lays the groundwork for a GraphRAG workflow that identifies critical contextual information about privacy in records collections. By centering context and making it machine-legible, this solution operationalizes contextual integrity, allowing archivists and other records professionals to make informed decisions about privacy in a resource-efficient manner.
Topik & Kata Kunci
Penulis (8)
Jim Suderman
Frédéric Simard
Nicholas Rivard
I. Khuhro
Erin Gilmore
Michelle Barbeau
D. Hofman
M. Beauchamp
Akses Cepat
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Cek di sumber asli →- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- Semantic Scholar
- DOI
- 10.1109/BigData66926.2025.11401061
- Akses
- Open Access ✓