Semantic Services Grid in Flood-forecasting Simulations
Marian Babik, Ondrej Habala, Ladislav Hluchý, Michal Laclavík · 2007
Abstract. Flooding in the major river basins of the Central Europe is a recurrent event aecting many countries. Almost every year, it takes away lives and causes damage to infrastructure, agricultural and industrial production and severely aects socio-economic development. Recurring oods of the magnitude and frequency ob-served in this region is a signicant impediment, which requires rapid development of more exible and eective ood-forecasting systems. In this paper we present design and development of the ood-forecasting system based on the Semantic Grid services [3]. We will highlight the corresponding architecture, discovery and compo-sition of services into work ows and semantic tools supporting the users in evaluat-ing the results of the ood simulations [15]. We will describe in detail the challenges of the ood-forecasting application and corresponding design and development of the service-oriented model, which is based on the well known Web Service Resource Framework (WSRF). Semantic descriptions of the WSRF services will be presented as well as the architecture, which exploits semantics in the discovery and composi-tion of services. Further, we will demonstrate how experience management solutions can help in the process of service discovery and user support. The system provides a unique bottom-up approach in the Semantic Grids by combining the advances of semantic web services and grid architectures.