One of the motivations for research in semantic web services is to automatically compose web service operations to solve given problems. The idea of using AI planning software to this end has been suggested by several papers. The present paper follows this approach but argues that the diversity of the web service domains is best addressed by a flexible combination of complementary reasoning tec...

Due to the pressure of rising costs and an increase in customer orientation, IT-service providers are forced to professionalize their operations (IT-Production). Using Enterprise Resource Planning (ERP) systems common in real goods production allows to take advantage of planning functions and integrated data management. Since the production planning of IT-Production cannot be addressed by stand...

Semantic web service composition constitutes the phases namely specification, matchmaking, planning, validation, discovery and execution. As web service composition is categorised as an AI planning problem, the objective of this paper is to propose a fluent calculus approach for the planning phase of the semantic web service composition. Among various methods to solve the AI planning problem, l...

The planning of multi-service IP networks requires the consideration of many different and also diverse issues. Since Internet technology has been developed in a rather pragmatic way (“we believe in rough consensus and running code”), various approaches and concepts exist in most areas of networking, which are relevant for network planning (e.g., types of applications, routing schemes, Quality ...

Abstr act. PORSCE II is a framework that performs automatic web service composition by transforming the composition problem into AI planning terms and utilizing external planners to obtain solutions. A distinctive feature of the system is that throughout the entire process, it achieves semantic awareness by exploiting semantic information extracted from the OWL-S descriptions of the available a...

The goal of the proposed capacity planning tool is to provide the best cost performance con guration for support of a known media service workload There are two essential components in our capacity planning tool i the capacity measurements of di erent h w and s w solutions using a specially designed set of media benchmarks and ii a media service workload pro ler called MediaProf which ex tracts...

The research presented is concerned with the planning component of service management and describes the use of a multiobjective evolutionary heuristic to optimize the productivity of service projects. Adequate planning assures the effective and efficient use of resources, customer satisfaction and the attainment of service objectives in an acceptable period of time. In order to achieve improved...

BACKGROUND People with severe mental illness suffer more physical comorbidity than the general population, which can require a tailored approach to physical health care discussions within mental health care planning. Although evidence pertaining to service user and carer involvement in mental health care planning is accumulating, current understanding of how physical health is prioritised withi...