intrinsic 发表于 2025-3-21 16:55:05
书目名称Streaming Linked Data影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0879487<br><br> <br><br>书目名称Streaming Linked Data读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0879487<br><br> <br><br>债务 发表于 2025-3-21 20:14:20
http://reply.papertrans.cn/88/8795/879487/879487_2.png带子 发表于 2025-3-22 00:58:38
Riccardo Tommasini,Pieter Bonte,Fabiano Spiga,Emanuele Della ValleBucket 发表于 2025-3-22 04:46:25
Riccardo Tommasini,Pieter Bonte,Fabiano Spiga,Emanuele Della Valle热心助人 发表于 2025-3-22 10:04:16
http://reply.papertrans.cn/88/8795/879487/879487_5.png痛苦一生 发表于 2025-3-22 16:07:55
http://reply.papertrans.cn/88/8795/879487/879487_6.png羊齿 发表于 2025-3-22 18:14:44
Riccardo Tommasini,Pieter Bonte,Fabiano Spiga,Emanuele Della Valledisrupt 发表于 2025-3-22 21:34:44
http://reply.papertrans.cn/88/8795/879487/879487_8.pngnarcissism 发表于 2025-3-23 03:47:38
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欲望 发表于 2025-3-23 05:52:57
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