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Titlebook: Linking Government Data; David Wood Book 2011 Springer Science+Business Media, LLC 2011 Linked data.Semantic Web.World Wide Web.data archi

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發(fā)表于 2025-3-21 18:00:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Linking Government Data
編輯David Wood
視頻videohttp://file.papertrans.cn/587/586772/586772.mp4
概述Provides practical approaches to addressing common information management issues by the application of leading edge research.Researchers, advanced-level students and practitioners working in Semantic
圖書封面Titlebook: Linking Government Data;  David Wood Book 2011 Springer Science+Business Media, LLC 2011 Linked data.Semantic Web.World Wide Web.data archi
描述Linking Government Data provides a practical approach to addressing common information management issues. The approaches taken are based on international standards of the World Wide Web Consortium. Linking Government Data gives both the costs and benefits of using linked data techniques with government data; describes how agencies can fulfill their missions with less cost; and recommends how intra-agency culture must change to allow public presentation of linked data.Case studies from early adopters of linked data approaches in international governments are presented in the last section of the book. Linking Government Data is designed as a professional book for those working in Semantic Web research and standards development, and for early adopters of Semantic Web standards and techniques.Enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems will also findthis book valuable.Students focused on computer science and business management will also find value in this book.
出版日期Book 2011
關(guān)鍵詞Linked data; Semantic Web; World Wide Web; data architecture; e-government; enterprise data; information o
版次1
doihttps://doi.org/10.1007/978-1-4614-1767-5
isbn_softcover978-1-4899-9350-2
isbn_ebook978-1-4614-1767-5
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

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ngerprints (ridge patterns) and dental charts are insufficient for criminal investigators to proceed with a case. New and novel techniques were required to solve some crimes. To help both safeguard our liberties and fight crime, we have developed DNA fingerprinting and profiling (Jeffreys) and quant
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controlling coronavirus disease are challenging because, the improper solutions, medications, and data are irregular to analyze. This paper proposes adaptive deep recurrent neural network-based Covid-19 healthcare data prediction, where the risk prediction algorithm is made to detect the?Covid-19 d
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Percy Salas,José Viterbo,Karin Breitman,Marco Antonio Casanovastand.Focuses on engineering practice.Includes supplementaryA secure future has to be the goal and motivation of every attempt at progress and of all politics. Engineers, teachers, and scientists can assume a part of their personal responsibility in such attempts. We should all search for organizati
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Richard Cyganiak,Michael Hausenblas,Eoin McCuircart of their personal responsibility in such attempts. We should all search for organizational and technical possibilities individually and with our fellow professionals that can help avoid technogenic - and therefore - sociogenic catastrophes. When we consider the extremely short time for invention
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