Techniques for source level program transformation. Those operations allow to transform clear but inefficient programs into more efficient equivalent programs.
Published in Chapter:
Challenges on Semantic Web Services
Maria Vargas-Vera (The Open University, Uk), Miklos Nagy (The Open University, UK), Dominik Zyskowski (Poznan University of Economics, Poland), Konstanty Haniewicz (Poznan University of Economics, Poland), and Witold Abramowicz (Poznan University of Economics, Poland)
Copyright: © 2009
|Pages: 24
DOI: 10.4018/978-1-60566-650-1.ch002
Abstract
The promise of being able to support Business-to-Customer applications with a rapidly growing number of heterogeneous services available on the Semantic Web has generated considerable interest in different research communities (e.g., Semantic Web, knowledge representation, software agents). However, in order to overcome the challenges of the current Web services, new level of functionalities is required in order to integrate distributed software components using existing Semantic Web standards. In this chapter, the authors discuss and suggest insights into new solutions to the main challenges in the area of Semantic Web services: composition, discovery and trust. For the first problem they suggest to use program transformation coupled with services’ descriptions. For the second problem (discovery of Web services) a solution based on the authors’ mapping algorithm between ontologies is suggested. While, for the last problem a solution based on fuzzy voting model is outlined. Through the chapter, the authors work with an investing scenario, in order to illustrate our suggested solutions to these three challenges.