作者: Ruben Verborgh , Erik Mannens , Rik Van de Walle , Sam Coppens
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摘要: Querying the Linked Open Data cloud as a whole still remains problematic. Prior knowledge is required to federate queries appropriate datasets: each dataset provides its own SPARQL endpoint query that dataset, and uses vocabulary describe their information. In this paper, we propose federated asynchronous framework global data space. Our federation based on fact owl:sameAs relationships are symmetrical transitive and, hence, such linked resources interchangeable. The provenance of generated links during enrichment process processed resolve endpoints datasets mappings. This information used federation. Asynchronous processing makes more scalable exploits better web caching.