# Stream Containers for Resource-oriented RDF Stream Processing

arXiv: https://arxiv.org/abs/2202.13630 · HTML: https://mlsanity.com/paper/2202.13630/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Feb 2022.

## Built on by (most cited first, 1 of 1)

- [RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice](https://mlsanity.com/paper/2311.14540/) (2023)

## Abstract (arXiv)

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.