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Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems.

This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as...

Aboutthebook The success of the information society The rapid progress of the information society in the past decade has been made possible by the removal of many technical barriers. Producing, storing, and transporting information in large quantities are no longer signi?cant problems. Producing on-line, digitized information is no longer a problem. Ever more of our commercial, scienti?c and personal information exchanges happen on-line in digital form. In the professional domain, near 100% of all o?ce documents areproducedindigitalform(evenifafterwardstheyaredistributedinpaper form), large...

Details recent research in areas such as ontology design for information integration, metadata generation and management, and representation and management of distributed ontologies.

Provides decision support on the use of novel technologies, information about potential problems, and guidelines for the successful application of existing technologies.

This volume contains the lecture notes of the 9th Reasoning Web Summer School 2013. Coverage includes diverse aspects of Web reasoning, ranging from scalable lightweight formalisms such as RDF to more expressive ontology languages based on description logics.