Approximating Mathematical Semantic Web Services Using Approximation Formulas and Numerical Methods

TL;DR

This paper introduces a method to approximate mathematical semantic web services using existing services, formulas, and numerical techniques, along with methods for comparing and classifying these services' complexity functions.

Contribution

It presents novel techniques for approximating, comparing, and classifying mathematical semantic web services based on their semantic descriptions and complexity functions.

Findings

Effective approximation of web services using existing methods

Automatic comparison of complexity functions developed

Classification method for numerical methods in web services

Abstract

Mathematical semantic web services are very useful in practice, but only a small number of research results are reported in this area. In this paper we present a method of obtaining an approximation of a mathematical semantic web service, from its semantic description, using existing mathematical semantic web services, approximation formulas, and numerical methods techniques. We also give a method for automatic comparison of two complexity functions. In addition, we present a method for classifying the numerical methods mathematical semantic web services from a library.