Handling Estimation Inaccuracy in Query Optimization

In contrast, the presence of any kind of disjunction in the ontology results in the existence of models that differ in the queries they entail, and makes the query entailment

Given a relational table R, our approach is based on what we call the query lattice of R; and our basic algorithm constructs the skyline set as the union of the answers to a subset

The lower bound is proved by examining the decision tree of the deterministic query scheme and exhibiting an input for which the number of queries asked is high.. More precisely,

Mapping SPARQL Query to temporal logic query based on NµSMV Model Checker to Query Semantic Graphs.. Mahdi Gueffaz, Sylvain Rampacek,

4) The LD Model: The query workload for each dataset consisted of queries marked large in Table II. Each query was run multiple times using Algorithm 2. As more cores were used

Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)... approach presented in [4, 13], a verification tool, UPPAAL-TIGA [2], is exploited to

In this paper, we provide our vision of a method using machine learning techniques to predict whether a QEP should be optimized or not during the query execution, so that the

In this paper, we propose Snob, an approach for executing SPARQL queries over a network of browsersWe assume that browsers are connected in an un- structured network based on