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Over the years, RDF streaming was explored in research and practice from manyangles, resulting in a wide range of RDF stream definitions. This varietypresents a major challenge in discussing and integrating streaming solutions,due to the lack of a common language. This work attempts to address thiscritical research gap, by systematizing RDF stream types present in theliterature in a novel taxonomy. The proposed RDF Stream Taxonomy (RDF-STaX) isembodied in an OWL 2 DL ontology that follows the FAIR principles, making itreadily applicable in practice. Extensive documentation and additionalresources are provided, to foster the adoption of the ontology. Two realizeduse cases are presented, demonstrating the usefulness of the resource indiscussing research works and annotating streaming datasets. Another result ofthis contribution is the novel nanopublications dataset, which serves as acollaborative, living state-of-the-art review of RDF streaming. The aim ofRDF-STaX is to address a real need of the community for a better way tosystematize and describe RDF streams. The resource is designed to help driveinnovation in RDF streaming, by fostering scientific discussion, cooperation,and tool interoperability.

RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice