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

concord

書(shū)目名稱Knowledge Graphs and Semantic Web影響因子(影響力)




書(shū)目名稱Knowledge Graphs and Semantic Web影響因子(影響力)學(xué)科排名




書(shū)目名稱Knowledge Graphs and Semantic Web網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Knowledge Graphs and Semantic Web網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Knowledge Graphs and Semantic Web被引頻次




書(shū)目名稱Knowledge Graphs and Semantic Web被引頻次學(xué)科排名




書(shū)目名稱Knowledge Graphs and Semantic Web年度引用




書(shū)目名稱Knowledge Graphs and Semantic Web年度引用學(xué)科排名




書(shū)目名稱Knowledge Graphs and Semantic Web讀者反饋




書(shū)目名稱Knowledge Graphs and Semantic Web讀者反饋學(xué)科排名

Endometrium

Communications in Computer and Information Sciencehttp://image.papertrans.cn/k/image/543940.jpg

用樹(shù)皮

https://doi.org/10.1007/978-3-031-21422-6Computer Science; Informatics; Conference Proceedings; Research; Applications

少量

耐寒

Knowledge Graphs and Semantic Web978-3-031-21422-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

electrolyte

Aerophagia

顛簸地移動(dòng)

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.

有害處

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

ROOF

,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