Optimizing real-time RDF data streams

TL;DR

This paper evaluates a UDP-based architecture for high-performance, real-time RDF data streaming, aiming to support low-latency, high-throughput applications in distributed environments.

Contribution

It provides an experimental evaluation of a UDP-based RDF streaming architecture, demonstrating its effectiveness for real-time, high-volume data transfer.

Findings

UDP architecture achieves low latency and high throughput

Effective for Internet-scale distributed RDF data streaming

Survey of RDF update formats and transport protocols

Abstract

The Resource Description Framework (RDF) provides a common data model for the integration of "real-time" social and sensor data streams with the Web and with each other. While there exist numerous protocols and data formats for exchanging dynamic RDF data, or RDF updates, these options should be examined carefully in order to enable a Semantic Web equivalent of the high-throughput, low-latency streams of typical Web 2.0, multimedia, and gaming applications. This paper contains a brief survey of RDF update formats and a high-level discussion of both TCP and UDP-based transport protocols for updates. Its main contribution is the experimental evaluation of a UDP-based architecture which serves as a real-world example of a high-performance RDF streaming application in an Internet-scale distributed environment.