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An ant colony optimisation approach for optimising SPARQL queries by reordering triple patterns
2015
Information Systems
Processing the excessive volumes of information on the Web is an important issue. The Semantic Web paradigm has been proposed as the solution. However, this approach generates several challenges, such as query processing and optimisation. This paper proposes a novel approach for optimising SPARQL queries with different graph shapes. This new method reorders the triple patterns using Ant Colony Optimisation (ACO) algorithms. Reordering the triple patterns is a way of decreasing the execution
doi:10.1016/j.is.2015.01.013
fatcat:sbikx2zl7zghjbs2fpcil4gzaq