Adaptive Search and Learning-Based Approaches for Automatic Web Service Composition

Adaptive Search and Learning-Based Approaches for Automatic Web Service Composition

Nikola Milanovic (Technical University Berlin, Germany) and Miroslaw Malek (Humboldt University Berlin, Germany)
Copyright: © 2008 |Pages: 54
DOI: 10.4018/978-1-59904-904-5.ch006
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

We investigate architectural properties required for supporting automatic service composition. First, composable service architecture will be described, based on modeling Web services as abstract machines supported by formally defined composition operators. Based on the proposed infrastructure, we introduce and analyze several options for achieving automatic service composition by treating it as a search problem. Namely, basic heuristic search, probabilistic, learning-based, decomposition, and bidirectional automatic composition mechanisms will be presented and compared. Finally, we discuss the impact and outlook for automatic composition.

Complete Chapter List

Search this Book:
Reset