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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 more. Focused on developing useful and reusable models, this market-leading book explains how to build semantic content (ontologies) and how to build applications that access that content. New in this edition: Coverage of the latest Semantic Web tools for organizing, querying, and processing information - see details in TOC below Detailed information on the latest ontologies used in key web applications including ecommerce, social networking, data mining, using government data, and more . 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.

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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After years of mostly theoretical research, Semantic Web Technologies are now reaching out into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs. Applications like genomic ontologies, semantic web services, automated catalogue alignment, ontology matching, or blogs and social networks are constantly increasing, often driven or at least backed up by companies like Google, Amazon, YouTube, Facebook, LinkedIn and others. The need to leverage the potential of combining information in a meaningful way in order to be able to benefit from the Web will create further demand for and interest in Semantic Web research. This movement, based on the growing maturity of related research results, necessitates a reliable reference source from which beginners to the field can draw a first basic knowledge of the main underlying technologies as well as state-of-the-art application areas. This handbook, put together by three leading authorities in the field, and supported by an advisory board of highly reputed researchers, fulfils exactly this need. It is the first dedicated reference work in this field, collecting contributions about both the technical foundations of the Semantic Web as well as their main usage in other scientific fields like life sciences, engineering, business, or education.

Applied marketing --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- bedrijfseconomie --- e-business --- informatiesystemen --- database management --- e-commerce --- KI (kunstmatige intelligentie) --- informatica management --- robots