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Computer science --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- programmeren (informatica) --- informatiesystemen --- computernetwerken --- robots
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Artificial intelligence --- Cognition --- Parallel processing (Electronic computers)
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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 Onto
Web site development --- Metadata --- Semantic Web --- Sites Web --- Métadonnées --- Web sémantique --- Développement --- Semantic web --- Metadata. --- Semantic Web. --- Web site development. --- Métadonnées --- Web sémantique --- Développement --- Information Technology --- General and Others --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Data about data --- Meta-data --- Information organization --- Development of Web sites --- Web sites --- Internet programming --- Development
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Will your next doctor be a human being—or a machine? Will you have a choice? If you do, what should you know before making it? This book introduces the technically-engaged reader to the convergence of two technologies: artificial intelligence in its modern incarnation and the growing trend of social networking to "reach off the Web" into the real world. Both these technologies are important in their own right, but as they converge we are approaching an historic inflection point in the partnership between human beings and machines with profound impacts on the future not only of computing but of our world. In this book, AI expert and researcher James Hendler explores the social implications of artificial intelligence systems in the context of a close examination of the technologies that make them possible. The author evaluates the utopian and dystopian prognostications of the social implications of the convergence of AI and social networking. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your field guide to the future of your personal relationships with the machines that are already changing your life and to the future of your machine-mediated relationships with other human beings and humanoid constructs.
Computer science. --- Computers. --- Computer Science. --- Computing Methodologies. --- Computing Milieux. --- Intelligent agents (Computer software) --- Human body and technology. --- Technological innovations --- Sociological aspects. --- Breakthroughs, Technological --- Innovations, Industrial --- Innovations, Technological --- Technical innovations --- Technological breakthroughs --- Technological change --- Technology and the human body --- Agents, Autonomous (Computer software) --- Agents, Cognitive (Computer software) --- Agents, Intelligent (Computer software) --- Assistants, Cognitive (Computer software) --- Assistants, Intelligent software --- Autonomous agents (Computer software) --- Cognitive agents (Computer software) --- Cognitive assistants (Computer software) --- IAs (Computer software) --- Intelligent agent software --- Intelligent software agents --- Intelligent software assistants --- Software agents (Computer software) --- Special agents (Computer software) --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Informatics --- Science --- Creative ability in technology --- Inventions --- Domestication of technology --- Innovation relay centers --- Research, Industrial --- Technology transfer --- Technology --- Artificial intelligence --- Computer programs --- Artificial intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers
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Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users. These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications. Semantic Web for the Working Ontologist is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and m
Information systems --- Web site development. --- Semantic Web. --- Metadata. --- Sites Web --- Web sémantique --- Métadonnées --- Développement --- Data about data --- Meta-data --- Information organization --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Development of Web sites --- Web sites --- Internet programming --- Development --- Metadata --- Semantic Web --- Web site development --- #KVHA:Ontologie --- #KVHA:OWL --- #KVHA:RDFS --- #KVHA: Semantic web --- 681.3*H --- 681.3*H Information systems
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Will your next doctor be a human being—or a machine? Will you have a choice? If you do, what should you know before making it? This book introduces the technically-engaged reader to the convergence of two technologies: artificial intelligence in its modern incarnation and the growing trend of social networking to "reach off the Web" into the real world. Both these technologies are important in their own right, but as they converge we are approaching an historic inflection point in the partnership between human beings and machines with profound impacts on the future not only of computing but of our world. In this book, AI expert and researcher James Hendler explores the social implications of artificial intelligence systems in the context of a close examination of the technologies that make them possible. The author evaluates the utopian and dystopian prognostications of the social implications of the convergence of AI and social networking. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your field guide to the future of your personal relationships with the machines that are already changing your life and to the future of your machine-mediated relationships with other human beings and humanoid constructs.
Computer science --- Programming --- Information systems --- Computer. Automation --- computers --- informatica --- systeemontwikkeling (informatica) --- methodologieën --- computerkunde
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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 don't 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.
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