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Titlebook: Towards the Internet of Services: The THESEUS Research Program; Wolfgang Wahlster,Hans-Joachim Grallert,Thomas Wid Book 2014 Springer Inte

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書(shū)目名稱(chēng)Towards the Internet of Services: The THESEUS Research Program
編輯Wolfgang Wahlster,Hans-Joachim Grallert,Thomas Wid
視頻videohttp://file.papertrans.cn/928/927211/927211.mp4
概述Authors among the leading scientists and engineers in their fields.Explains both foundations and industrial deployments.Valuable for researchers and practitioners in artificial intelligence, logistics
叢書(shū)名稱(chēng)Cognitive Technologies
圖書(shū)封面Titlebook: Towards the Internet of Services: The THESEUS Research Program;  Wolfgang Wahlster,Hans-Joachim Grallert,Thomas Wid Book 2014 Springer Inte
描述.The Internet of Services and the Internet of Things are major building blocks of the Future Internet. The digital enterprise of the future is based not only on mobile, social, and cloud technologies, but also on se-mantic technologies and the future Internet of Everything. Semantic technologies now enable mass cus-tomization for the delivery of goods and services that meet individual customer needs and tastes with near mass production efficiency and reliability. This is creating a competitive advantage in the industrial econ-omy, the service economy, and the emerging data economy, leading to smart products, smart services, and smart data, all adaptable to specific tasks, locations, situations, and contexts of smart spaces. Such tech-nologies allow us to describe, revise, and adapt the characteristics, functions, processes, and usage patterns of customization targets on the basis of machine-understandable content representation that enables auto-mated processing and information sharing between human and software agents..?.This book explains the principal achievements of the Theseus research program, one of the central pro-grams in the German government‘s Digital 2015 initiative and
出版日期Book 2014
關(guān)鍵詞2020 High-Tech Strategy; ALEXANDRIA; Automation; Business Process Support; CONTENTUS; Data Mining; Digital
版次1
doihttps://doi.org/10.1007/978-3-319-06755-1
isbn_softcover978-3-319-36127-7
isbn_ebook978-3-319-06755-1Series ISSN 1611-2482 Series E-ISSN 2197-6635
issn_series 1611-2482
copyrightSpringer International Publishing Switzerland 2014
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