With the rapid advancement of cyber-physical systems, Digital Twin (DT) is gaining ever-
increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from …

The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …

In order to meet user expectations and to optimize user experience with a higher degree of
flexibility and sustainability, the Smart product–service system (Smart PSS), as a novel value …

Abstract The incompleteness of Knowledge Graphs (KGs) is a crucial issue affecting the
quality of AI-based services. In the scholarly domain, KGs describing research publications …

Knowledge graph embedding models have become a popular approach for knowledge
graph completion through predicting the plausibility of (potential) triples. This is performed …

The increasing availability of scholarly metadata in the form of Knowledge Graphs (KG)
offers opportunities for studying the structure of scholarly communication and evolution of …

In the last decade, scholarly graphs became fundamental to storing and managing scholarly
knowledge in a structured and machine-readable way. Methods and tools for discovery and …

Abstract Generative Adversarial Networks (GANs) have several advantages over latent
variable and autoregressive models, such as directly computing the input data distribution …

Knowledge graphs (KGs) are widely used for modeling scholarly communication, performing
scientometric analyses, and supporting a variety of intelligent services to explore the …

In recent years, deep learning has yielded success in many research fields including
machine translation, natural language processing, computer vision, and social network …