Efficient data structures for storing RDF datasets

A dual database system for RDF datasets optimizes read and write performance and reduces storage costs by using a first database for temporary changes and a second for binary representation, addressing inefficiencies in existing RDF storage methods.

JP2026104826APending Publication Date: 2026-06-25DASSAULT SYSTEMES SA
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
DASSAULT SYSTEMES SA
Filing Date
2025-12-08
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

Existing methods for storing RDF datasets in distributed databases face high development costs and limitations, such as inefficient distributed transactions, degraded write performance, and increased storage costs when using native or existing databases, while also failing to optimize read and write performance simultaneously.

Method used

A computer-implemented data structure comprising a first non-graph database for temporarily storing changes with ACID properties and a second non-graph database for storing the RDF dataset's state as a binary representation, optimized for distributed transactions and scalability, using associative collections and compressed graph representations.

Benefits of technology

The solution provides efficient read queries without sacrificing write performance or storage costs, ensuring ACID properties, scalability, and high availability, reducing total cost of ownership (TCO) and improving performance in big data storage and computer-aided applications.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 2026104826000001_ABST
    Figure 2026104826000001_ABST
Patent Text Reader

Abstract

This provides a computer-implemented efficient data structure, a computer-implemented method, and a system for storing RDF datasets containing a set of RDF (Resource Description Framework) quads. [Solution] The data structure comprises a first data structure and a second data structure. The first data structure includes a first non-graph database with ACID (Atomicity, Consistency, Isolation, Durability) properties for temporarily storing one or more changes applied to an RDF dataset. The second data structure includes a second non-graph database with ACID properties for storing the state of an RDF dataset as a binary representation. The binary representation is stored as binary data within the native structure of the second non-graph database.
Need to check novelty before this filing date? Find Prior Art