|TOMMASINI RICCARDO||Cycle: XXXI |
Section: Computer Science and Engineering
Tutor: CERI STEFANO Abstract:
Efficient yet Expressive Stream Reasoning
RDF Stream Processing (RSP) engines empirically proved that Stream Reasoning (SR) is feasible. However, existing RSP engines do not investigate the trade-off between the reasoning expressive power and efficiency of the solution: either high throughputs with a low expressiveness or a high expressiveness with low throughputs are provided. Can the systematic exploration of this trade-off lead to expressive and efficient SR systems? This work requires: 1) to define the boundaries of the solution space, 2) to position existing engines in such a space; 3) to conceive, design and implement other (simplified) engines in parts of the space not currently explored, and 4) to systematically compare the those engines in order to identify those that offer the best trade-off.
Advisor: Emanuele Della Valle