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 …

Abstract Knowledge Graph Reasoning (KGR) is an effective method to ameliorate
incompleteness and sparsity problems, which infers new knowledge based on existing …

Automatic knowledge graph (KG) construction is widely used for eg data integration,
question answering and semantic search. There are many approaches of automatic KG …

Drug repurposing (DR) based on knowledge graphs (KGs) is challenging, which uses
knowledge graph reasoning models to predict new therapeutic pathways for existing drugs …

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 …

Data analytics including machine learning analytics is essential to extract insights from
production data in modern industries. Visual analytics is essential for data analytics for eg …

Data analytics is vital in manufacturing for extracting insights from production data and
optimising production processes. Semantic technologies including knowledge graphs (KG) …

Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data
from factory production, posing big data challenges. In that context, distributed computing …

Recently there has been a series of studies in knowledge graph embedding (KGE), which
attempts to learn the embeddings of the entities and relations as numerical vectors and …

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 …