[HTML][HTML] Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects
Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …
Evolving to multi-modal knowledge graphs for engineering design: state-of-the-art and future challenges
With the support of advanced information and communication technologies and open
innovative design platforms, the emerging and blooming paradigm of mass personalization …
innovative design platforms, the emerging and blooming paradigm of mass personalization …
Executable knowledge graphs for machine learning: a Bosch case of welding monitoring
Data analysis including ML are essential to extract insights from production data in modern
industries. However, industrial ML is affected by: the low transparency of ML towards non …
industries. However, industrial ML is affected by: the low transparency of ML towards non …
Executable knowledge graph for transparent machine learning in welding monitoring at bosch
With the development of Industry 4.0 technology, modern industries such as Bosch's welding
monitoring witnessed the rapid widespread of machine learning (ML) based data analytical …
monitoring witnessed the rapid widespread of machine learning (ML) based data analytical …
ExeKG: Executable knowledge graph system for user-friendly data analytics
Data analytics including machine learning (ML) is essential to extract insights from
production data in modern industries. However, industrial ML is affected by: the low …
production data in modern industries. However, industrial ML is affected by: the low …
Advancements of Artificial Intelligence Techniques in the Realm About Library and Information Subject—A Case Survey of Latent Dirichlet Allocation Method
X Pan, Y Xue - Ieee Access, 2023 - ieeexplore.ieee.org
To investigate the advancements of artificial intelligence techniques in the realm of library
and information subject, we have chosen the Latent Dirichlet Allocation method as a case …
and information subject, we have chosen the Latent Dirichlet Allocation method as a case …
Integrating large language models and knowledge graphs for extraction and validation of textual test data
A De Santis, M Balduini, F De Santis, A Proia… - International Semantic …, 2024 - Springer
Aerospace manufacturing companies, such as Thales Alenia Space, design, develop,
integrate, verify, and validate products characterized by high complexity and low volume …
integrate, verify, and validate products characterized by high complexity and low volume …
Schere: Schema reshaping for enhancing knowledge graph construction
Automatic knowledge graph (KG) construction is widely used for eg data integration,
question answering and semantic search. There are many approaches of automatic KG …
question answering and semantic search. There are many approaches of automatic KG …
[PDF][PDF] Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing.
Visual analytics has been important for many data-driven applications in modern industries.
However, there has been limited research of semantic technologies for visual analytics …
However, there has been limited research of semantic technologies for visual analytics …
[PDF][PDF] Towards A Statistic Ontology for Data Analysis in Smart Manufacturing.
Statistical analytics has been playing an important role for uncovering patterns and trends
from data in smart manufacturing. However, how statistical analytics are performed is usually …
from data in smart manufacturing. However, how statistical analytics are performed is usually …