ES19.02 Best Endoscopic Tools for the Best Results

Best Practices for Ontology Matching Tools Evaluation

In the current state of the art in ontology matching, diverse golden standards are used to evaluate the algorithms. In this paper we show that by following appropriate rules in their construction and use, the quality of the evaluations can be significantly improved, particularly in the accuracy of the precision and recall measures obtained.

New best proximity point results in G-metric space

Best approximation results provide an approximate solution to the fixed point equation $Tx=x$, when the non-self mapping $T$ has no fixed point. In particular, a well-known best approximation theorem, due to Fan cite{5}, asserts that if $K$ is a nonempty compact convex subset of a Hausdorff locally convex topological vector space $E$ and $T:Krightarrow E$ is a continuous mapping, then there exi...

Some Results on p-Best Approximation in Vector Spaces

Some results on convergence and existence of best proximity points

In this paper, we introduce generalized cyclic φ-contraction maps in metric spaces and give some results of best proximity points of such mappings in the setting of a uniformly convex Banach space. Moreover, we obtain convergence and existence results of proximity points of the mappings on reflexive Banach spaces

Benchmarking Best Practices Performance Results

New product performance was measured in a number of ways in the study – see Exhibit 1. (Use these performance data to benchmark your business’s NPD performance versus the average and top performers.) We also identify a sub-set of Best Performing businesses, and focus on their practices: these are the “benchmark businesses” that one should strive to emulate. In this mini-report and subsequent re...