找回密碼
 To register

QQ登錄

只需一步，快速開(kāi)始

掃一掃，訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Linked Open Data -- Creating Knowledge Out of Interlinked Data; Results of the LOD2 S?ren Auer,Volha Bryl,Sebastian Tramp Book‘‘‘‘‘‘‘‘ 201

[復(fù)制鏈接]
查看: 28993|回復(fù): 45
樓主
發(fā)表于 2025-3-21 17:57:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data
副標(biāo)題Results of the LOD2
編輯S?ren Auer,Volha Bryl,Sebastian Tramp
視頻videohttp://file.papertrans.cn/587/586761/586761.mp4
概述Provides an overview on some key aspects of the emerging field of Linked Data.Describes a diverse number of research, technology and application advances and refers the reader to further detailed tech
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Linked Open Data -- Creating Knowledge Out of Interlinked Data; Results of the LOD2 S?ren Auer,Volha Bryl,Sebastian Tramp Book‘‘‘‘‘‘‘‘ 201
描述Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. This book presents an overview on the results of the research project “LOD2 -- Creating Knowledge out of Interlinked Data”. LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Program. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea. The aim of this project was to advance the state-of-the-art in research and development in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.
出版日期Book‘‘‘‘‘‘‘‘ 2014
關(guān)鍵詞DBpedia; LOD; RDF; SPARQL; data authoring; data enrichment; data exploration; data extraction; data integrat
版次1
doihttps://doi.org/10.1007/978-3-319-09846-3
isbn_softcover978-3-319-09845-6
isbn_ebook978-3-319-09846-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and the Author(s) 2014
The information of publication is updating

書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data影響因子(影響力)




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data被引頻次




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data被引頻次學(xué)科排名




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data年度引用




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data年度引用學(xué)科排名




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data讀者反饋




書(shū)目名稱(chēng)Linked Open Data -- Creating Knowledge Out of Interlinked Data讀者反饋學(xué)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(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:51:45 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:58:29 | 只看該作者
地板
發(fā)表于 2025-3-22 05:29:04 | 只看該作者
5#
發(fā)表于 2025-3-22 09:33:50 | 只看該作者
Advances in Large-Scale RDF Data Management which leads to more join effort than needed in SQL systems. In this chapter, we first discuss the new column store techniques applied to Virtuoso, the enhancements in its cluster parallel version, and show its performance using the popular BSBM benchmark at the unsurpassed scale of 150?billion trip
6#
發(fā)表于 2025-3-22 13:51:04 | 只看該作者
Knowledge Base Creation, Enrichment and Repairowledge bases. However, schema information is needed for consistency checking and finding modelling problems. We will present a combination of enrichment and repair steps to tackle this problem based on previous research in machine learning and knowledge representation. Overall, the Chapter describe
7#
發(fā)表于 2025-3-22 18:00:41 | 只看該作者
0302-9743 red RDF data; 3. the interlinking and fusion of Linked Data from different sources and 4. the authoring, exploration and visualization of Linked Data.978-3-319-09845-6978-3-319-09846-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
8#
發(fā)表于 2025-3-22 23:56:21 | 只看該作者
9#
發(fā)表于 2025-3-23 04:56:23 | 只看該作者
Volha Bryl,Christian Bizer,Robert Isele,Mateja Verlic,Soon Gill Hong,Sammy Jang,Mun Yong Yi,Key-Sun
10#
發(fā)表于 2025-3-23 06:19:22 | 只看該作者
 關(guān)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(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 16:24
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
京山县| 沐川县| 敖汉旗| 龙胜| 海伦市| 大关县| 奇台县| 历史| 台东市| 乌拉特中旗| 嵊州市| 和龙市| 藁城市| 疏附县| 黑水县| 于都县| 攀枝花市| 遵义市| 旅游| 叙永县| 普陀区| 蒲城县| 于都县| 乐陵市| 彰化县| 南川市| 晋州市| 辽宁省| 克拉玛依市| 元朗区| 延津县| 玉山县| 定结县| 青冈县| 石狮市| 纳雍县| 黄陵县| 台南县| 奇台县| 黔西| 会昌县|