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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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發(fā)表于 2025-3-21 17:12:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy
副標題7th China Conference
編輯Maosong Sun,Guilin Qi,Yubo Chen
視頻videohttp://file.papertrans.cn/544/543933/543933.mp4
叢書名稱Communications in Computer and Information Science
圖書封面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
關(guān)鍵詞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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發(fā)表于 2025-3-21 22:08:38 | 只看該作者
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
板凳
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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
地板
發(fā)表于 2025-3-22 07:07:12 | 只看該作者
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 Aufkl?rung 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, da? alle mathematischen Begriffe auf mengentheoretische Begriff
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