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Erschienen in:
2023 | OriginalPaper | Buchkapitel
gTop: An Efficient SPARQL Query Engine
verfasst von : Yuqi Zhou, Lei Zou, Gang Cao
Erschienen in: Web and Big Data
Verlag: Springer Nature Switzerland
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Abstract
In this demonstration, we present gTop, a top-k query engine based on gStore which supports SPARQL queries over RDF databases. gTop can answer top-k queries with high efficiency and scalability. We use the DP-B algorithm for top-k queries and the DP-any algorithm for any-k queries. We break cyclic queries into pieces of tree queries and use DP-any to solve queries generated before assembling the results to retrieve the origin answers. Experiments show the efficiency of gTop. We provide a demonstration website to show the usage of gTop, where users can query YAGO2 with top-k SPARQL queries.