A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
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Ontologies for Software Engineering and Software Technology
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WKDD '10 Proceedings of the 2010 Third International Conference on Knowledge Discovery and Data Mining
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In recent years, a number of developed countries have employed ontology in e-government projects. This paper focuses on developing prototype architecture for intelligent decision support systems that can help top political decision makers in Kuwait. The system is intended to be used to strengthen bilateral economic relationship between Kuwait and friendly nations. Typically, such decisions are influenced by certain factors and variables that are based on scattered, unstructured, heterogeneous and vague information. The location of such information can be anywhere in different domains. In this paper, the information will be taken from the political and investment domains. A natural language is thus needed to describe such information which requires human knowledge for interpretation. The Information and Communication Technologies (ICT) has radically changed the way governments, deliver services to citizens, businesses and organizations. ICT support consists of, providing a large range of government information and services online such as health care, education, social services. The uses of ICT facilitate online citizens' participation to government processes and decision making, and helps in reorganizing government processes. Therefore, many applications have been developed in various government's departments [5, 17, 18, 25], aimed at providing and enhancing delivery of services to citizens, businesses and organizations. However, little work has been done in building knowledge base on ontologies that facilitate the communication between stakeholders and that identify the processes and describe the data of these applications. In this research, we propose to use ontology to integrate the scattered information resources from the political and investment domains. The process will start with extracting key concepts and relations between sets of information and integrate fuzzy logic with ontology. We will present a case study and we propose to build ontology in the domain of bilateral economic relationship in Kuwait to obtain a solution that is more suitable for solving the uncertainty and reasoning problems in this intelligent decision support system. The indented users are the top political decision makers for the purpose of strengthening bilateral economic relationship between Kuwait and friendly nations.