Enhanced query processing using weighted predicate tree in edge computing environment

Edge computing is a novel computing paradigm in which the edge nodes of Internet of Things (IoT) are heavily involved in data processing. Resource Description Framework (RDF) plays an important role in Semantic Web due to the explosive growth of data of IoT. RDF is a graph-based data model employed for representing the Uniform Resource Identifiers (URIs), and SPARQL is the standard query language used for processing the query of RDF data. Growth of data throws a big challenge to the data storing and processing. In this paper a new data storing and query processing approach is proposed using weighted predicate tree. The predicate tree is used for effective storing of data and extracting the weights indicating the relation of the data. Computer simulation with SP
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Bench data set and SPARQL query reveals that the proposed approach allows substantially higher performance than three existing representative query processing schemes.