Abstract
We present PKGem, a system that provides an end-to-end secure solution to enrich personal knowledge graphs in mobile environments. This task faces two core challenges: First, the proprietary, user-centric, and locally stored nature of personal knowledge graphs makes collaborative enrichment with socially connected peers a privacy concern. Moreover, the mobile environment has strict constraints on resource and computation cost, requiring lightweight and efficient design. PKGem addresses both challenges by leveraging cryptographic techniques to enable secure data enrichment across personal knowledge graphs, while remaining practical under mobile constraints. The system is implemented as an Android application and supports a variety of real-world usage scenarios. The code of PKGem is available at https://github.com/golden-eggs-lab/pkgem, with a demonstration video link included in the repository.
| Original language | English (US) |
|---|---|
| Title of host publication | CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 6708-6712 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798400720406 |
| DOIs | |
| State | Published - Nov 10 2025 |
| Event | 34th ACM International Conference on Information and Knowledge Management, CIKM 2025 - Seoul, Korea, Republic of Duration: Nov 10 2025 → Nov 14 2025 |
Publication series
| Name | CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management |
|---|
Conference
| Conference | 34th ACM International Conference on Information and Knowledge Management, CIKM 2025 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 11/10/25 → 11/14/25 |
Bibliographical note
Publisher Copyright:© 2025 Copyright held by the owner/author(s).
Keywords
- entity resolution
- fully homomorphic encryption
- knowledge graph
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