Scalable Online Analysis of Semantic Web Data
نویسندگان
چکیده
In order to explore RDF data in decision-making, there is an increasing demand for online analytical processing of such data. Since RDF data model is a graph model and highly flexible, it poses some challenges for analytical tasks. Although many systems have been developed to store RDF data, few of them can perform analytical tasks due to many reasons. Here, we present an online analysis system DBLink for RDF data. DBLink can be united for enabling large-scale RDF data analysis. Since SPARQL does not have language elements to support analytical operations, we design a language DQE in our RDF data store. Experimental results show the system achieves a performance improvement in analytical tasks than MySQL. Especially, the system greatly improves the execution time of those queries which need to analyze a large sub-graph of RDF data set.
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