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Titlebook: Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy; 7th China Conference Maosong Sun,Guilin Qi,Yubo Chen

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发表于 2025-3-21 17:12:39 | 显示全部楼层 |阅读模式
书目名称Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy
副标题7th China Conference
编辑Maosong Sun,Guilin Qi,Yubo Chen
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy; 7th China Conference Maosong Sun,Guilin Qi,Yubo Chen
描述This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, CCKS 2022,  in Qinhuangdao, China, August 24–27, 2022..The 15 full papers and 2 short papers included in this book were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: knowledge representation and reasoning; knowledge acquisition and knowledge base construction; linked data, knowledge integration, and knowledge graph storage managements; natural language understanding and semantic computing; knowledge graph applications; and knowledge graph open resources..
出版日期Conference proceedings 2022
关键词artificial intelligence; semantics; natural language processing; natural languages; information retrieva
版次1
doihttps://doi.org/10.1007/978-981-19-7596-7
isbn_softcover978-981-19-7595-0
isbn_ebook978-981-19-7596-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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发表于 2025-3-21 22:08:38 | 显示全部楼层
Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embeddininty information, or require sufficient training data for each relation, we propose a novel method by incorporating the inherent uncertainty of entities and relations (i.e. element-level uncertainty) into uncertain knowledge graph embedding. We introduce different metrics to quantify the uncertainty
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TraConcept: Constructing a Concept Framework from Chinese Traffic Legal Textsup first. This framework usually comprises domain-specific inter-related concepts, their relations, and their attributes, to achieve a comprehensive understanding of the subject domain. While some of the topics in the task of concept framework construction had been studied, such as the identificatio
发表于 2025-3-22 07:07:12 | 显示全部楼层
Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Lhe document level. Studies have shown that the Transformer architecture models long-distance dependencies without regard to the syntax-level dependencies between tokens in the sequence, which hinders its ability to model long-range dependencies. Furthermore, the global information among relational t
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and so an­ regend und fruchtbar gewirkt," das Unendliche ist aber auch wie kein anderer Begriff so der Aufklärung bedürftig. HILBERT [226, p. 163] Etwas mehr als 100 Jahre sind vergangen, seit in den Mathemati­ schen Annalen der sechste und letzte Teil von CANTORS fundamenta­ ler Arbeit Über unendli
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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy7th China Conference
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Ende des vorigen Jahrhunderts zunehmend anerkannt und verwendet, durch die Ent­ deckung der Antinomien erneut erschüttert, ist die Mengenlehre in ihrer heutigen axiomatisierten Gestalt eines der Fundamente der Mathematik. Die Tatsache, daß alle mathematischen Begriffe auf mengentheoretische Begriff
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