標題: Titlebook: Knowledge Graphs and Big Data Processing; Valentina Janev,Damien Graux,Emanuel Sallinger Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) a [打印本頁] 作者: 開脫 時間: 2025-3-21 19:14
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書目名稱Knowledge Graphs and Big Data Processing網(wǎng)絡公開度學科排名
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書目名稱Knowledge Graphs and Big Data Processing讀者反饋
書目名稱Knowledge Graphs and Big Data Processing讀者反饋學科排名
作者: 開頭 時間: 2025-3-21 20:46
Chapter 10 Case Study from the Energy Domainons of big data technologies in the energy domain is clear, and is thus the purpose of this chapter. An application of linked data and post-processing energy data has been covered, whilst a special focus has been put on the analytical services involved, concrete methodologies and their exploitation.作者: 悲痛 時間: 2025-3-22 01:55 作者: STERN 時間: 2025-3-22 08:13 作者: PAC 時間: 2025-3-22 10:45 作者: 重疊 時間: 2025-3-22 15:10
Book‘‘‘‘‘‘‘‘ 2020. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with i作者: 聯(lián)合 時間: 2025-3-22 19:35 作者: Efflorescent 時間: 2025-3-22 22:53
0302-9743 ocessing chain.This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizatio作者: EXCEL 時間: 2025-3-23 02:54
Chapter 5 Federated Query Processingery processing techniques provide a solution to scale up?to large volumes of data distributed across multiple data sources. Federated query processing techniques resort to source descriptions to identify relevant data sources for a query, as well as to find efficient execution plans that minimize th作者: affinity 時間: 2025-3-23 08:08
Chapter 8 Context-Based Entity Matching for Big Data technique that relies on both the knowledge stated in RDF vocabularies and a context-based similarity metric to map contextually equivalent RDF graphs. COMET follows a two-fold approach to solve the problem of entity matching in RDF graphs in a context-aware manner. In the first step, COMET compute作者: 子女 時間: 2025-3-23 13:05
Book‘‘‘‘‘‘‘‘ 2020ct of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions...This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education 作者: 辯論 時間: 2025-3-23 17:54 作者: osteoclasts 時間: 2025-3-23 18:25 作者: 托運 時間: 2025-3-23 23:16 作者: Thyroid-Gland 時間: 2025-3-24 06:20
Dea Puji?,Marko Jeli?,Nikola Toma?evi?,Marko Bati?作者: 把…比做 時間: 2025-3-24 07:08
978-3-030-53198-0The Editor(s) (if applicable) and The Author(s) 2020作者: Measured 時間: 2025-3-24 12:35
Knowledge Graphs and Big Data Processing978-3-030-53199-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 有節(jié)制 時間: 2025-3-24 18:00
Valentina Janev,Damien Graux,Emanuel SallingerStudies the potentials, prospects, and challenges of Big Data Analytics in real-world applications.Addresses pertinent aspect of the data processing chain作者: CLOWN 時間: 2025-3-24 21:13
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/k/image/543938.jpg作者: aggravate 時間: 2025-3-25 02:04
Chapter?2 Knowledge Graphs: The Layered Perspective chapter, we are going to take the position that precisely in the multitude of definitions lies one of the strengths of the area. We will choose a particular perspective, which we will call the layered perspective, and three views on Knowledge Graphs.作者: Constitution 時間: 2025-3-25 04:24 作者: 光滑 時間: 2025-3-25 10:41 作者: 征稅 時間: 2025-3-25 13:40
Chapter 1 Ecosystem of Big Dataervices has created opportunities for collecting/accumulating a large amount of data. While in the past corporations used to deal with static, centrally stored data collected from various sources, with the birth of the web and cloud services, cloud computing is rapidly overtaking the traditional in-作者: hauteur 時間: 2025-3-25 19:37
Chapter?2 Knowledge Graphs: The Layered Perspective chapter, we are going to take the position that precisely in the multitude of definitions lies one of the strengths of the area. We will choose a particular perspective, which we will call the layered perspective, and three views on Knowledge Graphs.作者: Exposure 時間: 2025-3-25 20:43 作者: Deject 時間: 2025-3-26 03:47
Chapter?4 Creation of Knowledge Graphsre details about the current prevalent ones. After reading this chapter, the reader should have an understanding of the different solutions available to generate Knowledge Graphs and should be able to choose the mapping language that best suits a certain use case.作者: SEEK 時間: 2025-3-26 04:57 作者: BLA 時間: 2025-3-26 08:32 作者: LAITY 時間: 2025-3-26 15:19 作者: conservative 時間: 2025-3-26 20:36
Chapter 8 Context-Based Entity Matching for Big Datam heterogeneous data sources. However, the RDF data model allows for describing entities under various contexts, e.g., people can be described from its demographic context, but as well from their professional contexts. Context-aware description poses challenges during entity matching of RDF datasets作者: 撫育 時間: 2025-3-26 22:15 作者: Hyperlipidemia 時間: 2025-3-27 01:34
Chapter 10 Case Study from the Energy Domainle also given the worldwide coverage of electrification. Additionally, the energy sector has been recognized to be in dire need of modernization, which would include tackling (i.e. processing, storing and interpreting) a vast amount of data. The motivation for including a case study on the applicati作者: Immobilize 時間: 2025-3-27 06:48
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