Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
Processing of RDF Stream Data
verfasst von : Sherif Sakr, Marcin Wylot, Raghava Mutharaju, Danh Le Phuoc, Irini Fundulaki
Erschienen in: Linked Data
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We are witnessing a paradigm shift, where real-time, time-dependent data is becoming ubiquitous. As Linked Data facilitates the data integration process among heterogenous data sources, RDF Stream Data has the same goal with respect to data streams. It bridges the gap between stream and more static data sources. To support the processing on RDF stream data, there is a need on investigating how to extend RDF to model and represent stream data. Then, from the RDF-based data representation, the query model processing models need to be defined to build the stream processing engine that is tailored for streaming data. This chapter provides an overview on how such requirements are addressed in the current state-of-the-art of RDF Stream Data processing.