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- Canadian Semantic Web
Canadian Semantic Web
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Since its creation a number of years ago, the World Wide Web has revolutionized the way entertainment, research and business are conducted in modern society. However, most of the current Web is conceived for human understanding whereas software applications or agents have no clue of the meaning of its content. The semantic Web, as an extension of the current Web and a vision, aims to bring structure for computer programs to "understand" and process. According to Tim Berners-Lee, in this vision, humans and machines will be able to work, reason and solve complex tasks in cooperation.
Canadian Semantic Web contains the proceedings of the Canadian Semantic Web Working Symposium (CSWWS) 2006, the first major event in Canada on the theme of semantic Web. This event is the initiative of the Canadian Semantic Web Interest Group (SWIG) which gathers researchers supported by the Canadian Society for the Computational Studies of Intelligence(CSCSI). This text covers a variety of well known topics of interest to practitioners in industry and research scientists. The range of topics includes languages, tools and methodologies for the semantic Web, semantic Web-based ontology management and engineering, semantic Web services, practical applications of the semantic Web techniques, artificial intelligence methods and tools for the semantic Web, software agents on the semantic Web, visualization and modeling of the semantic Web. The goal of this book is to provide a state-of-the-art review of the research as well as to introduce topics of interest to experts.Mamadou Tadiou Koné is an Assistant Professor in computer science at Université Laval, Québec, Canada. Daniel Lemire is Professor at Télé-université, Université du Québec à Montréal (UQÀM), Canada.
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