Abstract
The application of Semantic Web technologies in an Electronic Commerce environment implies a need for good support tools. Fast query engines are needed for efficient querying of large amounts of data, usually represented using RDF. We focus on optimizing a special class of SPARQL queries, the so-called RDF chain queries. For this purpose, we devise a genetic algorithm called RCQ-GA that determines the order in which joins need to be performed for an efficient evaluation of RDF chain queries. The approach is benchmarked against a two-phase optimization algorithm, previously proposed in literature. The more complex a query is, the more RCQ-GA outperforms the benchmark in solution quality, execution time needed, and consistency of solution quality. When the algorithms are constrained by a time limit, the overall performance of RCQ-GA compared to the benchmark further improves.
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Hogenboom, A., Milea, V., Frasincar, F., Kaymak, U. (2009). RCQ-GA: RDF Chain Query Optimization Using Genetic Algorithms. In: Di Noia, T., Buccafurri, F. (eds) E-Commerce and Web Technologies. EC-Web 2009. Lecture Notes in Computer Science, vol 5692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03964-5_18
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DOI: https://doi.org/10.1007/978-3-642-03964-5_18
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