SPARQL Querying Benchmarks

Activity: Talk or presentationConference PresentationsResearch

Saleem Muhammad - Speaker

Ricardo Usbeck - Speaker

Michael Roden - Speaker

Axel Cyrille Ngonga Ngomo - Speaker

Benchmarking is indispensable when aiming to assess technologies
with respect to their suitability for given tasks. The importance of SPARQL queries
for Linked Data management has led to the development of several benchmarks
that allow assessing the performance of SPARQL query processing systems. This
tutorial will explore the different benchmarks used for SPARQL query process-
ing over Linked Data. In particular, we will focus on the design, key features,
evaluation setup, and pros and cons of the benchmarks used to evaluate the perfor-
mance of triple stores and federated SPARQL query engines. State-of-the-art triple
stores and federated SPARQL benchmarks will be practically demonstrated with
examples along with hands-on experience and exercises to be carried out by the
participants. By the end of the tutorial, participants will obtain hands-on knowl-
edge of the triple stores and federated SPARQL querying benchmarks, understand
the main differences between state-of-the-art systems and benchmarks, and be
able to pick the right benchmark based on their pros and cons and the use-case
scenario.
17.10.201621.10.2016

Event

15th International Semantic Web Conference, ISWC 2016

17.10.1621.10.16

Kobe, Japan

Event: Conference

    Research areas

  • Informatics - diesel, feasible, group_aksw, lsq, ngonga, projecthobbit, qamel, quetsal

Recently viewed

Publications

  1. Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT
  2. Teachers’ use of data from digital learning platforms for instructional design
  3. Control versus Complexity
  4. Control of an Electromagnetic Linear Actuator Using Flatness Property and Systems Inversion
  5. Comparing the performance of computational estimation methods for physicochemical properties of dimethylsiloxanes and selected siloxanols
  6. A tutorial introduction to adaptive fractal analysis
  7. Mathematics in Robot Control for Theoretical and Applied Problems
  8. Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences
  9. Challenges in detecting proximal effects of existential threat on lie detection accuracy
  10. Machine Learning and Knowledge Discovery in Databases
  11. Soft Optimal Computing Methods to Identify Surface Roughness in Manufacturing Using a Monotonic Regressor
  12. A sensor fault detection scheme as a functional safety feature for DC-DC converters
  13. Long-term memory predictors of adult language learning at the interface between syntactic form and meaning
  14. Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model
  15. Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
  16. Simple saturated relay non-linear PD control for uncertain motion systems with friction and actuator constraint
  17. Nonlinear PD fault-tolerant control for dynamic positioning of ships with actuator constraints
  18. On the origin of passive rotation in rotational joints, and how to calculate it
  19. Kalman Filter for Predictive Maintenance and Anomaly Detection
  20. A Switching Cascade Sliding PID-PID Controllers Combined with a Feedforward and an MPC for an Actuator in Camless Internal Combustion Engines
  21. Dynamic Lot Size Optimization with Reinforcement Learning
  22. Comparison of different FEM codes approach for extrusion process analysis
  23. Robust decoupling through algebraic output feedback in manipulation systems