Towards an approach for enhancing web services discovery

This paper discusses the added-value of combining users\u27 preferences and Web services\u27 capacities during the process of discovering the Web services that permit satisfying users\u27 needs. The needs, preferences, and capacities vary over time, which requires tracking them using contextual details. Examples of needs include hotel booking and loan application. Examples of preferences include time of result delivery and interaction means. Examples of capacities include operations to perform at a certain time/place and non-functional characteristics of operations. In this paper, bringing Web services and users together is supported by an approach that develops respective ontologies for preferences and capacities, represents these latter with SAWSDL, and finally, matches them using a dedicated algorithm

ACTAS: Adaptive Composition and Trading with Agents for Services

Mainly in business domains, the vision of gaining flexible, adaptive service environments is based on the standardization and practical proliferation of (Semantic) Web Services, ontologies, and agents. The standards of Web Services and their Service-oriented Architectures (SOA) became the standard paradigm for software component integration. Dynamic changes and the permanently increasing amount of available e-services of different domains are a challenge of Service Discovery and Composition. Mediation between different approaches and expert knowledge is often necessary for the composition of services of different domains. Semantic enhancements, Autonomic Service Discovery, and the research for more holistic concepts for the classification of e-services are current attempts of overcoming this challenge, in order to reach the ultimate goal of Autonomic SOC