RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice.
CoRR(2023)
摘要
Over the years, RDF streaming was explored in research and practice from many
angles, resulting in a wide range of RDF stream definitions. This variety
presents a major challenge in discussing and integrating streaming solutions,
due to the lack of a common language. This work attempts to address this
critical research gap, by systematizing RDF stream types present in the
literature in a novel taxonomy. The proposed RDF Stream Taxonomy (RDF-STaX) is
embodied in an OWL 2 DL ontology that follows the FAIR principles, making it
readily applicable in practice. Extensive documentation and additional
resources are provided, to foster the adoption of the ontology. Two realized
use cases are presented, demonstrating the usefulness of the resource in
discussing research works and annotating streaming datasets. Another result of
this contribution is the novel nanopublications dataset, which serves as a
collaborative, living state-of-the-art review of RDF streaming. The aim of
RDF-STaX is to address a real need of the community for a better way to
systematize and describe RDF streams. The resource is designed to help drive
innovation in RDF streaming, by fostering scientific discussion, cooperation,
and tool interoperability.
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