Author(s): Ambreen Hussain; W Enyan Wu; Gabriel Anzaldi; Andreas Abecker
Linked Author(s):
Keywords: Web Services; Data Integration; Ontology; Service Oriented Architecture; Hydraulic Information System
Abstract: The primary aim of this paper is to investigate and propose a generic framework to integrate Water Supply Distribution Systems using interoperable standards. Information in the water supply chain can be collected by in-situ observations, by reuse of existing geospatial data and by remote sensors. Regardless the information availability, it requires an effort to integrate this data from different resources because of the heterogeneity between systems and data. The information consumes time to be analyzed and manipulated in order to make effective decisions. For example, information analysis to generate proper decisions which can support the match of water supply with water demand while minimizing the energy consumption. Today water supply distribution managers in Europe use separate tools to gather data from many distributed resources and to use this data in decision making. All these tools use different ways of communication and are not connected. To overcome this problem it is required to integrate these tools and systems in a platform where they can exchange information such that managers can make better decisions. The proposed framework in this research will allow organizations in water industry to integrate data to accomplish decisional tasks overcoming drawbacks presented by current interoperability approaches taken elsewhere such as CUAHSI. The architecture of this framework is generic so that no matter what form client’s data is in, it will be processed and integrated with other clients’data. For example, the data can be in the form of Excel files, database or a web service. The integration manager of the architecture will process the data and transform it into the form to bring consistency such as a web service or documents that use standards, i. e. Water ML 2. 0. To overcome data and systems heterogeneity ontological mechanisms will be used in this framework. This framework will provide efficient means to analyze information and manipulate data to perform decision making tasks with decreasing overhead delays. The first contribution of this paper in water industry is the use of the Water ML2. 0 standard. Then, a methodology of a generic framework for integration of water data is proposed.
Year: 2015