This scheme is about a private query for the most commonly used knowledge graphs, namely the multi-relational graphs. Data users can query an encrypted entity (a node), and then the server returns the knowledge related to it—the entities adjacent to it and the relationships between them.
We investigate the problem of structured encryption (STE) for knowledge graphs (KGs) where the knowledge of data can be efficiently and privately queried.
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Aug 1, 2022 · We investigate the problem of structured encryption (STE) for knowledge graphs (KGs) where the knowledge of data can be efficiently and ...
We investigate the problem of structured encryption (STE) for knowledge graphs (KGs) where the knowledge of data can be efficiently and privately queried.
We investigate the problem of structured encryption (STE) for knowledge graphs (KGs) where the knowledge of data can be efficiently and privately queried.
We consider the problem of encrypting structured data (e.g., a web graph or a social network) in such a way that it can be efficiently and privately queried.
Structured encryption for knowledge graphs. https://doi.org/10.1016/j.ins.2022.05.015 ·. Journal: Information Sciences, 2022, p. 43-70. Publisher: Elsevier BV.
We investigate the problem of privately searching encrypted data that is structured in the form of knowledge. Our rationale in such an investigation lies on ...
SSE provides a natural solution to designing encrypted search engines: (1) generate a search structure for the data and encrypt it; (2) to search for a keyword ...
Oct 7, 2024 · Learn how to build a knowledge graph to connect structured and unstructured data, uncover relationships, and gain insights from your data.