Optimizing Analytical Queries over Semantic Web Sources

by Dilshod Ibragimov


The capability of incorporating data from different sources into the decision making process is, nowadays, essential for Business Intelligence (BI) applications. Huge amounts of data available on the Web call for more active use of these data to provide richer insights. However, due to the amount and complexity of data available on the Web, incorporation and utilization of these data pose challenges for technologies that were shaped for storing and manipulating structural data. Thus, our research presented the approach aimed at optimizing analytical queries over Resource Description Framework (RDF) sources. The research focused on data integration and data processing techniques to enable efficient execution of analytical SPARQL queries in the Semantic Web.