2023
DOI: 10.3390/machines11020271
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Development and Application of Knowledge Graphs for the Injection Molding Process

Abstract: Injection molding, the most common method used to process plastics, is a technique with a high knowledge content; however, relevant knowledge has not been systematically organized, and as a result, there have been many bottlenecks in talent cultivation. Moreover, most of the knowledge stored in books and online articles remains in the form of unstructured data, while some even remains unwritten, resulting in many difficulties in the construction of knowledge bases. Therefore, how to extract knowledge from unst… Show more

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Cited by 3 publications
(4 citation statements)
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“…Additionally, the current training dataset only includes user questions with a single subject, which means the model is not yet equipped to handle tasks involving user questions with multiple subjects. In our previous study [34], we verified that Conditional Layer Normalization can assist natural language models with understanding text data based on different subjects, thereby increasing our confidence in the semantic classification model's ability to successfully handle user question semantics involving multiple subjects as the training data increase.…”
Section: Entity Alignmentmentioning
confidence: 61%
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“…Additionally, the current training dataset only includes user questions with a single subject, which means the model is not yet equipped to handle tasks involving user questions with multiple subjects. In our previous study [34], we verified that Conditional Layer Normalization can assist natural language models with understanding text data based on different subjects, thereby increasing our confidence in the semantic classification model's ability to successfully handle user question semantics involving multiple subjects as the training data increase.…”
Section: Entity Alignmentmentioning
confidence: 61%
“…The injection molding industrial knowledge graph [34] adopted in this study uses seven node categories: molding defects, process parameters, phenomena, molds, plastics, product design, and machine. It is accompanied by three types of edges: "causes", "may causes", and "solutions", in order to express injection molding knowledge.…”
Section: Injection Molding Industrial Knowledge Graphmentioning
confidence: 99%
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“…Zhou et al [97] applied case-based reasoning to remanufacturing, enhancing solution retrieval and precision with nearest neighbor matching. Zhou et al [98] employed the BERT model to construct a knowledge graph for the injection molding domain, facilitating knowledge input and expansion via a web platform. Collectively, these methodologies propel advancements in intelligent process planning and knowledge management for machining and CAD models.…”
Section: Heterogeneous Data Fusion (Semi) Automatic Integration In On...mentioning
confidence: 99%