標(biāo)題: Titlebook: Exploiting Linked Data and Knowledge Graphs in Large Organisations; Jeff Z. Pan,Guido Vetere,Honghan Wu Book 2017 Springer International P [打印本頁(yè)] 作者: 我贊成 時(shí)間: 2025-3-21 19:46
書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations影響因子(影響力)
書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations影響因子(影響力)學(xué)科排名
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書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations被引頻次
書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations被引頻次學(xué)科排名
書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations年度引用
書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations年度引用學(xué)科排名
書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations讀者反饋
書目名稱Exploiting Linked Data and Knowledge Graphs in Large Organisations讀者反饋學(xué)科排名
作者: 開花期女 時(shí)間: 2025-3-21 20:41 作者: 治愈 時(shí)間: 2025-3-22 02:24
Exploiting Linked Data and Knowledge Graphs in Large Organisations978-3-319-45654-6作者: CEDE 時(shí)間: 2025-3-22 07:15
well as advanced question-answering topics concerning knowledge graphs. ?Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, 978-3-319-83339-2978-3-319-45654-6作者: Osteoporosis 時(shí)間: 2025-3-22 09:07
Book 2017ph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. ?Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, 作者: nitric-oxide 時(shí)間: 2025-3-22 16:07 作者: nitric-oxide 時(shí)間: 2025-3-22 18:59
on the key technologies for constructing, understanding andThis book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption a作者: transient-pain 時(shí)間: 2025-3-22 23:25 作者: 我悲傷 時(shí)間: 2025-3-23 01:35
Question Answering and Knowledge Graphss. They store information both as natural language text and structured data, e.g., relational databases or knowledge graphs. In this scenario, methods for organizing, finding, and selecting relevant information, beyond the capabilities of classic Information Retrieval, are always active topics of research and development.作者: GROSS 時(shí)間: 2025-3-23 09:29
Jeff Z. Pan,Guido Vetere,Honghan WuAddresses the topic of exploiting enterprise linked data with a focus on knowledge construction and accessibility within enterprises.Focuses on the key technologies for constructing, understanding and作者: GET 時(shí)間: 2025-3-23 12:07 作者: opportune 時(shí)間: 2025-3-23 15:35
Implementation of H.264 on PLX,s. They store information both as natural language text and structured data, e.g., relational databases or knowledge graphs. In this scenario, methods for organizing, finding, and selecting relevant information, beyond the capabilities of classic Information Retrieval, are always active topics of re作者: vitreous-humor 時(shí)間: 2025-3-23 19:36 作者: SNEER 時(shí)間: 2025-3-23 23:26
https://doi.org/10.1007/978-3-031-02338-5This chapter presents a high-level overview of the foundations of Knowledge Graphs.作者: Stress 時(shí)間: 2025-3-24 04:48 作者: OUTRE 時(shí)間: 2025-3-24 09:25
Runtime SoC Security Validation,In the previous chapters, we have shown the three-layer architecture of Knowledge Graph for Organizations. The very first question we are facing is how to build the Knowledge Graphs. From now on, we will use two chapters to introduce the technologies for the?..作者: Communal 時(shí)間: 2025-3-24 14:40 作者: 帶子 時(shí)間: 2025-3-24 15:31 作者: 鳴叫 時(shí)間: 2025-3-24 19:33 作者: 掙扎 時(shí)間: 2025-3-25 01:28
https://doi.org/10.1007/978-0-387-71740-1Congratulations! We have covered architecture, technical details, and success stories of the knowledge graph for Large Organizations together, in the eight chapters that we have just walked over.作者: macrophage 時(shí)間: 2025-3-25 05:37
Enterprise Knowledge Graph: An Introduction,Compared to other knowledge-oriented information systems, the distinctive features of Knowledge Graphs lie in their special combination of knowledge representation structures, information management processes, and search algorithms.作者: ODIUM 時(shí)間: 2025-3-25 08:25 作者: 分開 時(shí)間: 2025-3-25 14:25
Knowledge Architecture for OrganisationsIn this chapter, we prepare you a high-level overview of what is needed in order to create, maintain, and exploit knowledge graphs for a real application.作者: Obloquy 時(shí)間: 2025-3-25 16:21 作者: EVEN 時(shí)間: 2025-3-25 23:32
Construction of Enterprise Knowledge Graphs (II)*In this chapter, we continue with the . of Chap.?’s reference architecture, focusing on knowledge graph construction techniques.作者: 補(bǔ)助 時(shí)間: 2025-3-26 02:19 作者: 潛移默化 時(shí)間: 2025-3-26 05:22 作者: 推崇 時(shí)間: 2025-3-26 11:57
Enterprise Knowledge Graph: Looking into the FutureCongratulations! We have covered architecture, technical details, and success stories of the knowledge graph for Large Organizations together, in the eight chapters that we have just walked over.作者: Perennial長(zhǎng)期的 時(shí)間: 2025-3-26 14:46
978-3-319-83339-2Springer International Publishing Switzerland 2017作者: 令人作嘔 時(shí)間: 2025-3-26 18:32
https://doi.org/10.1007/978-3-319-45654-6Linked Open Data; Knowledge Graphs; Semantic Web Technologies; Knowledge Representation and Reasoning; Q作者: single 時(shí)間: 2025-3-26 22:53 作者: CLAM 時(shí)間: 2025-3-27 03:55 作者: Serenity 時(shí)間: 2025-3-27 05:43 作者: 淡紫色花 時(shí)間: 2025-3-27 11:40 作者: LVAD360 時(shí)間: 2025-3-27 17:09
Introduction to a computational theory and implementation of sequential hardware equivalence,esent predicates about pairs of harware designs. Algorithms are given for computing pairs of equivalent states and sequential hardware equivalence as implemented in the MCC CAD Sequential Equivalence Tool (SET).作者: 情感脆弱 時(shí)間: 2025-3-27 18:24
Indexing Rich Internet Applications Using Components-Based Crawlingt coverage. Our method does not require prior knowledge of the RIA nor predefined definition of components. Instead, we infer the components by observing the behavior of the RIA during crawling. Our experimental results show that our method can index quickly and completely industrial RIAs that are simply out of reach for traditional methods.作者: 寬敞 時(shí)間: 2025-3-27 22:14
András Bátkai,Marjeta Kramar Fijav?,Abdelaziz Rhandiand, to a variable though usually minor extent, through the peritubular capillaries (Baylis, 1982). The contribution of the kidney to the metabolism of small proteins has been particularly well studied and, depending on the contribution of extrarenal sites, the kidney may account for up to 80% of th作者: Offset 時(shí)間: 2025-3-28 04:54
Die Baptisten in den Brunnen bis unter den Wasserspiegel gesenktes Rohr eingeblasen. Diese Luft steigt in Bl?schen durch das Wasser langsam in die H?he, und da jede Blase auf das über ihr befindliche Wasser einen Druck vom Gewichte des durch sie verdr?ngten Wassers ausübt und die mit Luftbl?schen durchsetzte Was作者: Admonish 時(shí)間: 2025-3-28 09:53 作者: 灰心喪氣 時(shí)間: 2025-3-28 13:45 作者: 背叛者 時(shí)間: 2025-3-28 15:53
Biology of Renal Cell Carcinoma (Vascular Endothelial Growth Factor, Mammalian Target of Rapamycin, vascular endothelial growth factor (VEGF) and mammalian target of rapamycin (mTOR) pathways as well as what perturbations stemming from . loss or mutation can result in advanced RCC. Finally, we will touch on the immunologic monitoring of RCC and the opportunities related to manipulating the immune system for treating patients with advanced RCC.作者: 一加就噴出 時(shí)間: 2025-3-28 19:49
