7 citations · 11 across the 3 of their papers we have counts for
6 papers
Ontology-based system to support industrial system design for aircraft assembly
Xiaodu Hu, Rebeca Arista, Xiaochen Zheng +5
The development of an aircraft industrial system is a complex process which faces the challenge of digital discontinuity in multidisciplinary engineering due to various interfaces…
Actionable Cognitive Twins for Decision Making in Manufacturing
Jože M. Rožanec, Jinzhi Lu, Jan Rupnik +5
Actionable Cognitive Twins are the next generation Digital Twins enhanced with cognitive capabilities through a knowledge graph and artificial intelligence models that provide insi…
Design Ontology Supporting Model-based Systems-engineering Formalisms
Lu Jinzhi, Ma Junda, Xiaochen Zheng +2
Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalisms of system architectures fo…
Towards a Decentralized Digital Engineering Assets Marketplace: Empowered by Model-based Systems Engineering and Distributed Ledger Technology
Jinzhi Lu, Xiaochen Zheng, Zhenchao Hu +2
Model-based Systems Engineering (MBSE) has been widely utilized to formalize system artifacts and facilitate their development throughout the entire lifecycle. During complex syste…
Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems
Jinzhi Lu, Xiaochen Zheng, Ali Gharaei +2
Cognitive Twins (CT) are proposed as Digital Twins (DT) with augmented semantic capabilities for identifying the dynamics of virtual model evolution, promoting the understanding of…
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis
Learning embeddings of entities and relations existing in knowledge bases allows the discovery of hidden patterns in data. In this work, we examine the geometrical space's contribu…