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Titlebook: Knowledge Graphs and Semantic Web; 4th Iberoamerican Co Boris Villazón-Terrazas,Fernando Ortiz-Rodriguez,D Conference proceedings 2022 The

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書目名稱Knowledge Graphs and Semantic Web
副標(biāo)題4th Iberoamerican Co
編輯Boris Villazón-Terrazas,Fernando Ortiz-Rodriguez,D
視頻videohttp://file.papertrans.cn/544/543940/543940.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Knowledge Graphs and Semantic Web; 4th Iberoamerican Co Boris Villazón-Terrazas,Fernando Ortiz-Rodriguez,D Conference proceedings 2022 The
描述This book constitutes the proceedings of the 4th Iberoamerican Conference and third Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2022, which took place in Madrid, Spain, in November 2022..The 22 full and 3 short research papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers cover topics related to software and its engineering, software creation and management, Emerging technologies, Analysis and design of emerging devices and systems, Emerging tools and methodologies and others..
出版日期Conference proceedings 2022
關(guān)鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-3-031-21422-6
isbn_softcover978-3-031-21421-9
isbn_ebook978-3-031-21422-6Series 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 Switzerl
The information of publication is updating

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/k/image/543940.jpg
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https://doi.org/10.1007/978-3-031-21422-6Computer Science; Informatics; Conference Proceedings; Research; Applications
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Knowledge Graphs and Semantic Web978-3-031-21422-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Learning to Automatically Generating Genre-Specific Song Lyrics: A Comparative Study,ng lyrics for six selected music genres, namely rock, pop, country, hip-hop, electronic dance music (EDM), and rhythm and blues (R&B). Our findings show that LSTM scored better in the average readability index in overall, however, GRU produced the overall highest Rhyme Density score.
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DLIME-Graphs: A DLIME Extension Based on Triple Embedding for Graphs,urn, are reduced by the UMAP technique. Instead of using Hierarchical Clustering as DLIME, DLIME-Graphs uses HDB-SCAN to get clusters. To explain a test triple, DLIME-Graphs proposes to train two interpretable models: logistic regression and decision tree plus getting the most similar triples by a k
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,Knowledge Graph Supported Machine Parameterization for?the?Injection Moulding Industry,otivate and validate our approach with a machine parameter recommendation use case provided by a leading supplier in the automotive industry. To support this use case, we created ontologies for the representation of parameter adjustment protocols and FMEAs, and developed extraction components using
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