A Mixed Initiative Semantic Web Framework for Process Composition

TL;DR

This paper proposes a mixed initiative framework for semantic web service discovery and composition that balances automation with human input, addressing challenges of incomplete and inconsistent annotations.

Contribution

It introduces a novel framework that combines automated and human-driven processes for web service composition under imperfect annotation conditions.

Findings

Framework effectively integrates human decision making with automation.

Improves robustness in environments with incomplete annotations.

Facilitates flexible and efficient process composition.

Abstract

Semantic Web technologies offer the prospect of significantly reducing the amount of effort required to integrate existing enterprise functionality in support of new composite processes; whether within a given organization or across multiple ones. A significant body of work in this area has aimed to fully automate this process, while assuming that all functionality has already been encapsulated in the form of semantic web services with rich and accurate annotations. In this article, we argue that this assumption is often unrealistic. Instead, we describe a mixed initiative framework for semantic web service discovery and composition that aims at flexibly interleaving human decision making and automated functionality in environments where annotations may be incomplete and even inconsistent.