Stream Containers for Resource-oriented RDF Stream Processing

TL;DR

This paper proposes Stream Containers, a resource-oriented approach to RDF stream processing that enhances interoperability, scalability, and load distribution by integrating with existing Semantic Web infrastructure.

Contribution

It introduces Stream Containers inspired by the Linked Data Platform, enabling resource-oriented RDF stream processing with formal semantics and web server management.

Findings

Improved scalability through load distribution.

Enhanced interoperability with Semantic Web infrastructure.

Formal semantics provided for the system.

Abstract

We introduce Stream Containers inspired by the Linked Data Platform as an alternative way to process RDF streams. A Stream Container represents a single RDF data stream that can be accessed in a resource-oriented way which allows for better interoperability with the existing Semantic Web infrastructure. Stream Containers are managed by webservers that are responsible for implementing the S2R operator, i.e. calculating the window for their clients. The clients on the other hand can use a standard SPARQL processor in combination with HTTP requests to do RDF processing. Query results can be converted back to an RDF stream (R2S operator) by posting the data to a Stream Container. Our approach of resource-oriented RDF stream processing can lead to a better distribution of load and thus to better worldwide scalability. We give a general overview of the proposed architecture as well as the formal semantics of the overall system.