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scopus(15)
ANAPSID: An adaptive query processing engine for SPARQL endpoints
Conference ObjectAbstract: Following the design rules of Linked Data, the number of available SPARQL endpoints that support remPalabras claves:Autores:Acosta M., Castillo J., Lampo T., María-Esther Vidal, Ruckhaus E.Fuentes:scopusA heuristic-based approach for planning federated SPARQL queries
Conference ObjectAbstract: A large number of SPARQL endpoints are available to access the Linked Open Data cloud, but query capPalabras claves:Autores:Acosta M., María-Esther Vidal, Montoya G.Fuentes:scopusDiefficiency metrics: Measuring the continuous efficiency of query processing approaches
Conference ObjectAbstract: During empirical evaluations of query processing techniques, metrics like execution time, time for tPalabras claves:Autores:Acosta M., María-Esther Vidal, Sure-Vetter Y.Fuentes:scopusDEFENDER: A decomposer for queries against federations of endpoints
Conference ObjectAbstract: We present DEFENDER and illustrate the benefits of identifying promising query decompositions and efPalabras claves:Autores:Acosta M., María-Esther Vidal, Montoya G.Fuentes:scopusCAREY: ClimAtological contRol of EmergencY regions
Conference ObjectAbstract: Nowadays, climate changes are impacting life on Earth; ecological effects as warming of sea-surfacePalabras claves:Autores:Acosta M., Goncalves M., María-Esther VidalFuentes:scopusNetworks of linked data eddies: An adaptive web query processing engine for RDF data
Conference ObjectAbstract: Client-side query processing techniques that rely on the materialization of fragments of the originaPalabras claves:Autores:Acosta M., María-Esther VidalFuentes:scopusHARE: A hybrid SPARQL engine to enhance query answers via crowdsourcing
Conference ObjectAbstract: Due to the semi-structured nature of RDF data, missing values affect answer completeness of queriesPalabras claves:Completeness Model, Crowd Knowledge, crowdsourcing, Hybrid system, Microtasks, Query execution, RDF Data, SPARQL QueryAutores:Acosta M., Flöck F., María-Esther Vidal, Simperl E.Fuentes:scopusHARE: An Engine for Enhancing Answer Completeness of SPARQL Queries via Crowdsourcing
Conference ObjectAbstract: We propose HARE, a SPARQL query engine that encompasses human-machine query processing to augment thPalabras claves:completeness, crowdsourcing, Query execution, Rdf, SPARQLAutores:Acosta M., Flöck F., María-Esther Vidal, Simperl E.Fuentes:scopusOn the selection of SPARQL endpoints to efficiently execute federated SPARQL queries
Conference ObjectAbstract: We consider the problem of source selection and query decomposition in federations of SPARQL endpoinPalabras claves:Autores:Acosta M., Castillo S., María-Esther Vidal, Montoya G., Palma G.Fuentes:scopusPLANET: Query plan visualizer for shipping policies against single SPARQL endpoints
Conference ObjectAbstract: Shipping policies allow for deciding whether a query should be executed at the server, the client orPalabras claves:Autores:Acosta M., Castillo S., Flöck F., Harth A., María-Esther VidalFuentes:scopus