PKG API: A Tool for Personal Knowledge Graph Management
This addresses the problem of fragmented personal data management for individuals, offering a user-friendly tool, though it appears incremental in building on existing PKG concepts.
The paper tackled the lack of practical personal knowledge graph implementations by proposing a complete solution for representing, managing, and interfacing with PKGs, resulting in a user-facing client and service-oriented API with an RDF-based vocabulary.
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.