On the Semantics of TPF-QS towards Publishing and Querying RDF Streams at Web-scale

In Proceedings of the 14th International Conference on Semantic Systems (2018)

RDF Stream Processing (RSP) is a rapidly evolving area of research that focuses on extensions of the Semantic Web in order to model and process Web data streams. While state-of-the-art approaches concentrate on server-side processing of RDF streams, we investigate the Triple Pattern Fragments Query Streamer (TPF-QS) method for server-side publishing of RDF streams, which moves the workload of continuous querying to clients. We formalize TPF-QS in terms of the RSP-QL reference model in order to formally compare it with existing RSP query languages. We experimentally validate that, compared to the state of the art, the server load of TPF-QS scales better with increasing numbers of concurrent clients in case of simple queries, at the cost of increased bandwidth consumption. This shows that TPF-QS is an important first step towards a viable solution for Web-scale publication and continuous processing of RDF streams.