找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復制鏈接]
查看: 52861|回復: 46
樓主
發(fā)表于 2025-3-21 18:00:30 | 只看該作者 |倒序瀏覽 |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

書目名稱Linking Government Data影響因子(影響力)




書目名稱Linking Government Data影響因子(影響力)學科排名




書目名稱Linking Government Data網(wǎng)絡公開度




書目名稱Linking Government Data網(wǎng)絡公開度學科排名




書目名稱Linking Government Data被引頻次




書目名稱Linking Government Data被引頻次學科排名




書目名稱Linking Government Data年度引用




書目名稱Linking Government Data年度引用學科排名




書目名稱Linking Government Data讀者反饋




書目名稱Linking Government Data讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 21:57:39 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:13:54 | 只看該作者
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
地板
發(fā)表于 2025-3-22 07:18:49 | 只看該作者
ement, growth, self-repair, and reproduction of organisms. Todd, Crick and Sanger were major contributors in achieving this goal..Alexander Todd studied the chemistry of a range of natural products of biological importance. He was a colossus of twentieth century organic chemistry, having an encyclop
5#
發(fā)表于 2025-3-22 11:50:04 | 只看該作者
6#
發(fā)表于 2025-3-22 15:32:26 | 只看該作者
Tom Heath,John Goodwin pattern-based techniques present severe problems for achieving efficient algorithms with high success and are usually strongly influenced by environmental factors such as illumination, dust and movement. Convolutional neural networks are particularly effective as image classifiers, but it is a fiel
7#
發(fā)表于 2025-3-22 19:05:05 | 只看該作者
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
8#
發(fā)表于 2025-3-22 23:21:10 | 只看該作者
Matias Frosterus,Eero Hyv?nen,Joonas Laitioart 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
9#
發(fā)表于 2025-3-23 04:42:58 | 只看該作者
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
10#
發(fā)表于 2025-3-23 08:37:12 | 只看該作者
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
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-11 20:25
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
行唐县| 阿鲁科尔沁旗| 宣城市| 通化市| 全州县| 托克托县| 昌江| 六盘水市| 凤城市| 将乐县| 莱西市| 高唐县| 云梦县| 百色市| 庆云县| 平山县| 商南县| 西畴县| 台江县| 景德镇市| 靖江市| 牙克石市| 伊宁县| 马尔康县| 沅陵县| 晋中市| 荆州市| 鄂尔多斯市| 蚌埠市| 若尔盖县| 兰西县| 易门县| 秦皇岛市| 苏州市| 荔浦县| 河池市| 普格县| 湛江市| 宜昌市| 博爱县| 光山县|