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EWAS is an early warning prototype that collects and analyzes news items from the European media monitor. Although, it currently processes news articles, it can easily be adapted to any other form of text. Data mining functions performed by the system are categorization, clustering, and named entity extraction. The main design concern of the system is scalability, which is achieved by a modular architecture...
We show how an Arabic language religious-political document can be automatically classified according to the ideological stream and organizational affiliation that it represents. Tests show that our methods achieve near-perfect accuracy.
Port state control (PSC) inspection is the most important mechanism to ensure world marine safe. Recently, some SVM-based risk assessment systems have been presented in the world. They estimate the risk of each candidate ship based on its generic factors and history inspection factors to select high-risk one before conducting on-board PSC inspection. However, how to improve the performance of the...
In this paper we propose a way to facilitate the issue of discovering the eGovernment services that address a citizen's need. This approach is implemented in an application, which we call a semantic portal. The semantic portal is part of our SemanticGov project architecture. The portal's components and its architecture are presented and explained. The portal's conceptual modeling is based on the generic...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.