PROCESSING RDF QUERIES ON LINKED STREAM DATA
Abstract
Abstract: Semantic Web has become a very important part of the new Web generation. Besides government data, Internet users are also publishing their data by sharing personal data on the Web. This data grow with other data of stream life provided by sensors, RFID tags. Stream data items are considered as events. Event processing is related to the time of events and can‑not be combined with background knowledge. With Semantic Web technologies, data can be handled and enriched semantically. Different SPARQL enhancements have been developed in order to query continuous RDF streams. Basically, they all extend SPARQL by sliding win‑dows for RDF stream processing. In this paper, we present an overview on processing linked data stream by SPARQL extensions and compare, evaluate some SPARQL extension method on RDF stream data.
Keywords: Linked data, Stream data, RDF, SPARQL, Semantic Web, ontology, query.
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