This is the first book to offer a cohesive treatment of the research problems in collaborative knowledge acquisition from semantically disparate information sources and approaches for addressing the problems. The book discusses the fundamental advances in this area covering a broad range and complexity of research issues. The approach taken incorporates a synergistic synthesis of insights, algorithms and results drawn from multiple areas including: a Artificial Intelligence a " especially machine learning, data mining, knowledge representation and inference, intelligent agents and multi-agent systems; a Information Systems a " especially databases, information integration, semantic web; and a Distributed computing and software engineering (e.g. service-oriented computing). Written for researchers and graduate students as well as advanced practitioners in data mining, semantic technologies, AI, Information integration, the semantic web, and information systems, this accessible self-contained survey will be a valuable reference tool.
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