PKG API: A Tool for Personal Knowledge Graph Management
Nolwenn Bernard Ivica Kostric Weronika Łajewska Krisztian Balog Petra Galuščáková Vinay Setty Martin G. Skjæveland
Personal knowledge graphs (PKGs) offer individuals a way to store and
consolidate their fragmented personal data in a central place, improving
service personalization while maintaining full user control. Despite their
potential, practical PKG implementations with user-friendly interfaces remain
scarce. This work addresses this gap by proposing a complete solution to
represent, manage, and interface with PKGs. Our approach includes (1) a
user-facing PKG Client, enabling end-users to administer their personal data
easily via natural language statements, and (2) a service-oriented PKG API. To
tackle the complexity of representing these statements within a PKG, we present
an RDF-based PKG vocabulary that supports this, along with properties for
access rights and provenance.