Distributed SPARQL query optimization method based on minimum attribute cut
A query optimization and distributed technology, applied in the field of distributed systems, can solve the problems of large impact on query performance, low query efficiency, and large restrictions, and achieve the effect of reducing data communication time, improving filtering effect, and reducing the number of
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[0021] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings, so that those skilled in the art can understand the present invention more easily. It should be noted that the embodiment described below is only an embodiment of the present invention, but not all embodiments. Other embodiments obtained by those skilled in the art based on the embodiments of the present invention without making creative efforts all belong to the protection scope of the present invention.
[0022] In order to facilitate description and understanding, the symbols and concepts involved in the embodiments of the present invention are explained:
[0023] G: RDF data graph.
[0024] L: The attribute set of edges in the RDF data graph.
[0025] q(v): the query graph to which the query point v belongs.
[0026] G[L′]: induced subgraph of L′ attribute set, which is a subgraph composed of attribute edges in L′.
[0027] DS(L'): The...
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