Intelligent SPARQL Endpoints: Optimizing Execution Performance by Automatic Query Relaxation and Queue Scheduling

Ana I. Torre-Bastida, Esther Villar-Rodriguez, Miren Nekane Bilbao, Javier Del Ser. Intelligent SPARQL Endpoints: Optimizing Execution Performance by Automatic Query Relaxation and Queue Scheduling. In Jesús Carretero, Javier García Blas, Ryan K. L. Ko, Peter Mueller, Koji Nakano, editors, Algorithms and Architectures for Parallel Processing - 16th International Conference, ICA3PP 2016, Granada, Spain, December 14-16, 2016, Proceedings. Volume 10048 of Lecture Notes in Computer Science, pages 3-17, Springer, 2016. [doi]

@inproceedings{Torre-BastidaVB16,
  title = {Intelligent SPARQL Endpoints: Optimizing Execution Performance by Automatic Query Relaxation and Queue Scheduling},
  author = {Ana I. Torre-Bastida and Esther Villar-Rodriguez and Miren Nekane Bilbao and Javier Del Ser},
  year = {2016},
  doi = {10.1007/978-3-319-49583-5_1},
  url = {http://dx.doi.org/10.1007/978-3-319-49583-5_1},
  researchr = {https://researchr.org/publication/Torre-BastidaVB16},
  cites = {0},
  citedby = {0},
  pages = {3-17},
  booktitle = {Algorithms and Architectures for Parallel Processing - 16th International Conference, ICA3PP 2016, Granada, Spain, December 14-16, 2016, Proceedings},
  editor = {Jesús Carretero and Javier García Blas and Ryan K. L. Ko and Peter Mueller and Koji Nakano},
  volume = {10048},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-49582-8},
}