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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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31#
發(fā)表于 2025-3-26 22:19:03 | 只看該作者
32#
發(fā)表于 2025-3-27 03:51:29 | 只看該作者
33#
發(fā)表于 2025-3-27 06:38:52 | 只看該作者
DBkWik,- Multi Source Matching of Knowledge Graphs,bout long-tail entities such as wiki hosting platforms like Fandom. In this paper, we present the approach and analysis of DBkWik., a fused Knowledge Graph from thousands of wikis. A modified version of the DBpedia framework is applied to each wiki which results in many isolated Knowledge Graphs. Wi
34#
發(fā)表于 2025-3-27 11:17:03 | 只看該作者
,A Survey on?Knowledge Graph-Based Methods for?Automated Driving,e still unsolved problems to guarantee reliability and safety of automated systems, especially to effectively incorporate all available information and knowledge in the driving task. Knowledge graphs (KG) have recently gained significant attention from both industry and academia for applications tha
35#
發(fā)表于 2025-3-27 14:17:36 | 只看該作者
,Physicians’ Brain Digital Twin: Holistic Clinical & Biomedical Knowledge Graphs for Patient Safety value healthcare. Rule-based symptom-checkers often fail when there are multiple co-occurring symptoms. To ensure patient safety and value-based care we have constructed nine AI-driven and evidence based interconnected holistic knowledge graphs covering the entire spectrum of medical knowledge star
36#
發(fā)表于 2025-3-27 20:34:15 | 只看該作者
,Combining Ontology and?Natural Language Processing Methods for?Prevention of?Falls from?Height,lyze HIgh POtential (HIPO) hazards. In this study, we focus on Fall From Height (FFH) risk which is one of the main causes of worker fatalities. In order to improve the prevention plan, artificial intelligence (AI) can help to determine the causes and the safety actions from FFH historical data. Thi
37#
發(fā)表于 2025-3-28 01:08:51 | 只看該作者
38#
發(fā)表于 2025-3-28 03:06:37 | 只看該作者
39#
發(fā)表于 2025-3-28 07:22:19 | 只看該作者
40#
發(fā)表于 2025-3-28 11:11:01 | 只看該作者
,Knowledge Graph Supported Machine Parameterization for?the?Injection Moulding Industry, minimize productivity losses, initial setup as well as continuous adjustment of these parameters during production are critical. Stakeholders involved in the parameterization rely on experience, extensive documentation in guidelines and Failure Mode and Effects Analysis (FMEA) documents, as well as
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