Ontology development (OWLUML) methodology of web- based Decision Support System for water management

摘要

This paper presents an establish a methodology to facilitate decision making process that ensures reliable and optimum decision for water, water quality network and water pollution to be used in web-based Decision Support System (DSS) for water management by using ontology methods to provide a visualization of problem domain before implementation it by the programmer. The goal of the paper is to help readers understand how UML and OWL can be used to model ontologies in water management systems. Service modeling and ontology web language are very important for the conceptualization and for the design. We present an application of the Unified Modeling Language (UML) and ontology web language (OWL) for services to the management of water and fundamental components of the model-base of water management system. Ontology is a method for describing data and representing knowledge, in order to assist in problem identifying, decisions making, and knowledge management. Decision makers will be able to make better use of highly knowledgeable systems containing automated services to ensure that sustainability considerations are included. We present an environment for building simulations based on the water ontology management system, which includes Web-based visual design tools used for constructing models. This research presents an ontology building methodology and Semantic Web platforms namely Protégé for semantic ontology development in water management. Finally, Protégé is employed to create the Web Ontology Language (OWL) and Resource Description Framework (RDF) representations of the domain ontology respectively to enable its computer processing.