ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints, Aroyo et al. [3], pp.18-34 ,
DOI : 10.1109/2.121508
SPARQL Web-Querying Infrastructure: Ready for Action?, International Semantic Web Conference, pp.277-293, 2013. ,
DOI : 10.1007/978-3-642-41338-4_18
Avalanche: Putting the spirit of the web back into semantic web querying, ISWC Posters&Demos CEUR Workshop Proceedings. CEUR-WS.org, 2010. ,
CAP twelve years later: How the "rules" have changed, Computer, vol.45, issue.2, pp.23-29, 2012. ,
DOI : 10.1109/MC.2012.37
Eventually consistent, Communications of the ACM, vol.57, issue.3, pp.38-44, 2014. ,
DOI : 10.1145/2576794
Splendid: Sparql endpoint federation exploiting void descriptions, CEUR Workshop Proceedings. CEUR-WS.org, 2011. ,
Observing Linked Data Dynamics, Lecture Notes in Computer Science, vol.7882, pp.213-227, 2013. ,
DOI : 10.1007/978-3-642-38288-8_15
DBpedia SPARQL Benchmark ??? Performance Assessment with Real Queries on Real Data, Aroyo et al. [3], pp.454-469 ,
DOI : 10.1016/j.websem.2005.06.005
sparqlpush: Proactive notification of data updates in rdf stores using pubsubhubbub, SFSW, 2010. ,
DAW: Duplicate-AWare Federated Query Processing over the Web of Data, International Semantic Web Conference, pp.574-590, 2013. ,
DOI : 10.1007/978-3-642-41335-3_36
FedX: Optimization Techniques for Federated Query Processing on Linked Data, Aroyo et al. [3], pp.601-616 ,
DOI : 10.1007/978-3-642-21064-8_39
Web-scale querying through linked data fragments, Proceedings of the 7th Workshop on Linked Data on the Web, p.2014, 2014. ,