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標(biāo)題: Titlebook: Streaming Linked Data; From Vision to Pract Riccardo Tommasini,Pieter Bonte,Emanuele Della Val Book 2023 The Editor(s) (if applicable) and [打印本頁]

作者: intrinsic 時間: 2025-3-21 16:55
書目名稱Streaming Linked Data影響因子(影響力)

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書目名稱Streaming Linked Data網(wǎng)絡(luò)公開度

書目名稱Streaming Linked Data網(wǎng)絡(luò)公開度學(xué)科排名

書目名稱Streaming Linked Data被引頻次

書目名稱Streaming Linked Data被引頻次學(xué)科排名

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書目名稱Streaming Linked Data讀者反饋

書目名稱Streaming Linked Data讀者反饋學(xué)科排名

作者: 債務(wù) 時間: 2025-3-21 20:14

作者: 帶子 時間: 2025-3-22 00:58
Riccardo Tommasini,Pieter Bonte,Fabiano Spiga,Emanuele Della Valle

作者: Bucket 時間: 2025-3-22 04:46
Riccardo Tommasini,Pieter Bonte,Fabiano Spiga,Emanuele Della Valle

作者: 熱心助人 時間: 2025-3-22 10:04

作者: 痛苦一生 時間: 2025-3-22 16:07

作者: 羊齒 時間: 2025-3-22 18:14
Riccardo Tommasini,Pieter Bonte,Fabiano Spiga,Emanuele Della Valle

作者: disrupt 時間: 2025-3-22 21:34

作者: narcissism 時間: 2025-3-23 03:47
Book 2023functions over streaming data. Chapter 4 presents the life cycle of streaming linked data, it focuses on publishing streams on the Web as a prerequisite aspect to make data findable and accessible for applications. Chapter 5 touches on the problems of benchmarks and systems that analyze Web streams

作者: 欲望 時間: 2025-3-23 05:52
Preliminaries,asic notions behind streaming data processing as well as pillars for data integration using semantic technologies. In more specific terms, this chapter details the technologies apt to perform . and . over streams of data, i.e., Data Stream Management Systems (DSMSs), which are opposed to traditional

作者: TIGER 時間: 2025-3-23 11:36
Taming Variety and Velocity,a solutions have targeted Velocity through Stream Processing Engines and Variety through Semantic Web technologies. However, processing both Variety and Velocity simultaneously is still an open research problem. This chapter explains how Variety and Velocity can be targeted at once through RDF Strea

作者: Tidious 時間: 2025-3-23 15:11

作者: Unsaturated-Fat 時間: 2025-3-23 21:47

作者: Immobilize 時間: 2025-3-24 00:09

作者: Indent 時間: 2025-3-24 03:36

作者: 挖掘 時間: 2025-3-24 08:22
Preliminaries,described by including classic concepts like the Web of Data (WoD), Resource Description Framework (RDF), RDF Schema, the Web Ontology Language (OWL 2), the SPARQL query language and related semantics, and the Linked Data concept, with an updated possible depiction of the Semantic Web stack.

作者: CAB 時間: 2025-3-24 13:09
Web Stream Processing Systems and Benchmarks,e the challenges above and mitigate the problem of a fair performance evaluation for RDF Stream Processing engines. In particular, this chapter presents systems architectures, benchmarks, and tool for RSP benchmarking.

作者: Analogy 時間: 2025-3-24 14:53
Taming Variety and Velocity,wing to understand the internals and challenges of RSP engines. Next to various examples of RSP engines, efficient inference schemes will be detailed that allow to perform reasoning over RDF data streams. This chapter provides ample examples and details how different types of analytics can be employed over Web Streams.

作者: Inflated 時間: 2025-3-24 21:38

作者: 廚師 時間: 2025-3-25 02:49
Exercise Book,Next to the location-detection example, this chapter also presents illustrative examples of Web streams. In particular, this chapter features . (.) that shares the RDF changes on DBPedia, . (.) that streams the changes across all the WikiMedia projects, and the . (.) streams.

作者: exacerbate 時間: 2025-3-25 06:40