2023/08/29 by Erkan Karabulut, Salvatore F. Pileggi, Paul Groth +2 · 1 voice · 100 citations
Business, Management and Accounting · Computer Science · Engineering · #Artificial intelligence #Big Data and Business Intelligence #Computer science #Context (archaeology) #Data science #Digital Transformation in Industry #Flexible and Reconfigurable Manufacturing Systems #Information retrieval #Interoperability #Knowledge management #Knowledge representation and reasoning #Popularity #Relevance (law) #Representation (politics) #Semantic Web #World Wide Web #cs.AI
paper · pdf · open access · doi:10.1016/j.future.2023.12.013
published in Future Generation Computer Systems 153, 442-456 (Elsevier BV)
arxiv published 2023/08/29 · arxiv updated 2023/08/29 · openalex publication_date 2023/12/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
Digital Twins (DT) facilitate monitoring and reasoning processes in cyber–physical systems. They have progressively gained popularity over the past years because of intense research activity and industrial advancements. Cognitive Twins is a novel concept, recently coined to refer to the involvement of Semantic Web technology in DTs. Recent studies address the relevance of ontologies and knowledge graphs in the context of DTs, in terms of knowledge representation, interoperability and automatic reasoning. However, there is no comprehensive analysis of how semantic technologies, and specifically ontologies, are utilized within DTs. This Systematic Literature Review (SLR) is based on the analysis of 82 research articles, that either propose or benefit from ontologies with respect to DT. The paper uses different analysis perspectives, including a structural analysis based on a reference DT architecture, and an application-specific analysis to specifically address the different domains, such as Manufacturing and Infrastructure. The review also identifies open issues and possible research directions on the usage of ontologies and knowledge graphs in DTs.