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Semantic Web for the Wo Ontologist: Effective Modeling in RDFS and OWL

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The promise of the Semantic Web to provide a universal medium to exchange data information and knowledge has been well publicized. There are many sources too for basic information on the extensions to the WWW that permit content to be expressed in natural language yet used by software agents to easily find, share and integrate information. Until now individuals engaged in creating ontologies-- formal descriptions of the concepts, terms, and relationships within a given knowledge domain-- have had no sources beyond the technical standards documents.

Semantic Web for the Working Ontologist transforms this information into the practical knowledge that programmers and subject domain experts need. Authors Allemang and Hendler begin with solutions to the basic problems, but dont stop there: they demonstrate how to develop your own solutions to problems of increasing complexity and ensure that your skills will keep pace with the continued evolution of the Semantic Web.

Provides practical information for all programmers and subject matter experts engaged in modeling data to fit the requirements of the Semantic Web.
De-emphasizes algorithms and proofs, focusing instead on real-world problems, creative solutions, and highly illustrative examples.
Presents detailed, ready-to-apply recipes for use in many specific situations.
Shows how to create new recipes from RDF, RDFS, and OWL constructs.

About the Author

Jim Hendler is the Tetherless World Senior Constellation Chair at Rensselaer Polytechnic Institute where he has appointments in the Department of Computer Science and the Cognitive Science Dept. He also serves as the Associate Director of the Web Science Research Initiative headquartered at MIT. Hendler has authored about 200 technical papers in the areas of artificial intelligence, Semantic Web, agent-based computing and high performance processing. One of the inventors of the Semantic Web, Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence and the British Computer Society. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA), was awarded a US Air Force Exceptional Civilian Service Medal in 2002, and is a member of the World Wide Web Consortium's Semantic Web Coordination Group. He is the Editor in Chief of IEEE Intelligent Systems and is the first computer scientist to serve on the Board of Reviewing Editors for Science.
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