Authors:
D. Slee
;
S. Cain
;
P. Vichare
and
J. I. Olszewska
Affiliation:
School of Computing and Engineering, University of the West of Scotland, U.K.
Keyword(s):
Industry 4.0, Smart Lift Services, Digital Twin, Human-Machine Systems, Cyber-Physical Systems, Knowledge Engineering, Knowledge Representation, Interoperability, Ontology Engineering, Enterprise Ontology, Ontological Domain Analysis and Modeling.
Abstract:
Nowadays, there is a growth of smart factories and Industry 4.0 technologies, involving Artificial Intelligence (AI) systems. These ones require interoperable solutions. In particular, ontologies have been widely used for capturing, sharing, and representing knowledge in an interoperable way, that both humans and machines can understand. Indeed, ontologies allow humans to communicate with machines in a semantic way, while machines are able to make automated reasoning about the concepts and relationships which are encoded in the ontology. For this purpose, this paper proposes the first-ever domain ontology for smart lifts. Its domain covers smart lift design, operation, and maintenance, while its scope is to aid in automating such lift services. This smart lift ontology (SLO), which contains 144 classes and 749 axioms, has been successfully developed in collaboration with the elevator industry.