Agents and owl-s based semantic web service discovery with user preference support

TL;DR

This paper presents an agent-based semantic web service discovery method using OWL-S, focusing on efficient matching, QoS, and user preferences within a layered architecture for dynamic service selection.

Contribution

It introduces a novel agent-based approach utilizing OWL-S for semantic service discovery, incorporating QoS and reputation considerations in a layered architecture.

Findings

Effective semantic matching considering concept properties

Enhanced service discovery with QoS and reputation integration

Layered architecture improves discovery efficiency

Abstract

Service-oriented computing (SOC) is an interdisciplinary paradigm that revolutionizes the very fabric of distributed software development applications that adopt service-oriented architectures (SOA) can evolve during their lifespan and adapt to changing or unpredictable environments more easily. SOA is built around the concept of Web Services. Although the Web services constitute a revolution in Word Wide Web, they are always regarded as non-autonomous entities and can be exploited only after their discovery. With the help of software agents, Web services are becoming more efficient and more dynamic. The topic of this paper is the development of an agent based approach for Web services discovery and selection in witch, OWL-S is used to describe Web services, QoS and service customer request. We develop an efficient semantic service matching which takes into account concepts properties to match concepts in Web service and service customer request descriptions. Our approach is based on an architecture composed of four layers: Web service and Request description layer, Functional match layer, QoS computing layer and Reputation computing layer.