標(biāo)題: Titlebook: Linked Data; Storing, Querying, a Sherif Sakr,Marcin Wylot,Irini Fundulaki Book 2018 Springer International Publishing AG 2018 Database Des [打印本頁] 作者: 富裕 時(shí)間: 2025-3-21 19:00
書目名稱Linked Data影響因子(影響力)
書目名稱Linked Data影響因子(影響力)學(xué)科排名
書目名稱Linked Data網(wǎng)絡(luò)公開度
書目名稱Linked Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Linked Data被引頻次
書目名稱Linked Data被引頻次學(xué)科排名
書目名稱Linked Data年度引用
書目名稱Linked Data年度引用學(xué)科排名
書目名稱Linked Data讀者反饋
書目名稱Linked Data讀者反饋學(xué)科排名
作者: 鴕鳥 時(shí)間: 2025-3-21 22:41
Distributed Reasoning of RDF Data,e.g., Hadoop, Spark). In this chapter, we cover five main categories of distributed RDF reasoning systems: (1) Peer-to-Peer RDF reasoning systems, (2) NoSQL-based RDF reasoning systems, (3) Hadoop-based RDF reasoning systems, (4) Spark-based RDF reasoning systems, and (5) shared memory RDF reasoning systems.作者: Assignment 時(shí)間: 2025-3-22 00:49
Benchmarking RDF Query Engines and Instance Matching Systems, are used to inform users of the strengths and weaknesses of competing tools and approaches, but more importantly, they encourage the advancement of technology by providing both academia and industry with clear targets for performance and functionality.作者: installment 時(shí)間: 2025-3-22 07:18 作者: decode 時(shí)間: 2025-3-22 09:58 作者: WITH 時(shí)間: 2025-3-22 14:48 作者: Feckless 時(shí)間: 2025-3-22 19:36 作者: Somber 時(shí)間: 2025-3-22 21:53 作者: 獨(dú)裁政府 時(shí)間: 2025-3-23 03:27
Fundamentals,conventional Web, the SemanticWeb aims to interconnect these data so that all datasets contribute to a global data integration, connecting data from diverse domains and sources. In practice, all concepts underpinning Linked Data are standardized by the World Wide Web Consortium. The Consortium publi作者: Affectation 時(shí)間: 2025-3-23 08:22 作者: MITE 時(shí)間: 2025-3-23 11:12
Distributed RDF Query Processing,is dwarfed by the volume of the dataset. Therefore, there was a crucial need for distributed systems with a high degree of parallelism that can satisfy the performance demands of complex SPARQL queries. In this chapter, we give an overview of various techniques and systems for efficiently querying l作者: Binge-Drinking 時(shí)間: 2025-3-23 13:54
Processing of RDF Stream Data,ss among heterogenous data sources, RDF Stream Data has the same goal with respect to data streams. It bridges the gap between stream and more static data sources. To support the processing on RDF stream data, there is a need on investigating how to extend RDF to model and represent stream data. The作者: Culmination 時(shí)間: 2025-3-23 18:02
Distributed Reasoning of RDF Data,ins. Reasoning over such large knowledge graphs poses several performance challenges. In practice, although there has been some prior work on scalable approaches to RDF reasoning, the interest in this field started gathering momentum with the rising popularity of modern big data processing systems (作者: Irremediable 時(shí)間: 2025-3-23 22:24
Benchmarking RDF Query Engines and Instance Matching Systems,ems to address the new challenges. In this chapter, we discuss benchmarks for RDF query engines and instance matching systems. In practice, benchmarks are used to inform users of the strengths and weaknesses of competing tools and approaches, but more importantly, they encourage the advancement of t作者: exhilaration 時(shí)間: 2025-3-24 06:07 作者: 一窩小鳥 時(shí)間: 2025-3-24 08:15
978-3-030-08803-3Springer International Publishing AG 2018作者: 撕裂皮肉 時(shí)間: 2025-3-24 13:20 作者: 斜谷 時(shí)間: 2025-3-24 17:45
Sherif Sakr,Marcin Wylot,Irini FundulakiProvides a comprehensive overview of the state-of-the-art in storing, querying, reasoning and data provenance aspects of Linked Data.Describes in detail the processing of and reasoning about dynamic, 作者: Temporal-Lobe 時(shí)間: 2025-3-24 19:38
http://image.papertrans.cn/l/image/586751.jpg作者: Enervate 時(shí)間: 2025-3-25 02:26 作者: Excise 時(shí)間: 2025-3-25 04:43 作者: 改正 時(shí)間: 2025-3-25 10:02
Distributed RDF Query Processing,is dwarfed by the volume of the dataset. Therefore, there was a crucial need for distributed systems with a high degree of parallelism that can satisfy the performance demands of complex SPARQL queries. In this chapter, we give an overview of various techniques and systems for efficiently querying large RDF datasets in distributed environments.作者: 思考才皺眉 時(shí)間: 2025-3-25 15:33
Provenance Management for Linked Data,s types of information, such as the source of the data, information on the processes that led to a certain result, date of creation or last modification, and authorship. Recording and managing the provenance of data is of paramount importance, as it allows supporting ., . and ., ., ., in addition to ., . and . of data sources.作者: 說笑 時(shí)間: 2025-3-25 18:48
nce matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing i978-3-030-08803-3978-3-319-73515-3作者: 鬼魂 時(shí)間: 2025-3-25 20:21
Sherif Sakr,Marcin Wylot,Raghava Mutharaju,Danh Le Phuoc,Irini Fundulaki作者: indubitable 時(shí)間: 2025-3-26 02:15 作者: 聲音刺耳 時(shí)間: 2025-3-26 05:44
Sherif Sakr,Marcin Wylot,Raghava Mutharaju,Danh Le Phuoc,Irini Fundulaki作者: projectile 時(shí)間: 2025-3-26 12:01 作者: Diaphragm 時(shí)間: 2025-3-26 15:44
Sherif Sakr,Marcin Wylot,Raghava Mutharaju,Danh Le Phuoc,Irini Fundulaki作者: zonules 時(shí)間: 2025-3-26 18:08 作者: dragon 時(shí)間: 2025-3-26 20:59
Sherif Sakr,Marcin Wylot,Raghava Mutharaju,Danh Le Phuoc,Irini Fundulaki作者: acrimony 時(shí)間: 2025-3-27 05:03 作者: 提煉 時(shí)間: 2025-3-27 08:34 作者: Introduction 時(shí)間: 2025-3-27 12:54
Book 2018d RDF reasoning systems, while Chapter 7 details benchmarks forRDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing i作者: fledged 時(shí)間: 2025-3-27 15:28
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