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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD |
| Editors | David Aveiro, Jan Dietz, Joaquim Filipe |
| Publisher | SciTePress |
| Pages | 210-219 |
| Number of pages | 10 |
| Volume | 2 |
| ISBN (Print) | 9789897585333 |
| DOIs | |
| Publication status | Published - 2021 |
Publication series
| Name | Conference Proceedings |
|---|---|
| Publisher | SciTePress |
| ISSN (Print) | 2184-3228 |
Keywords
- 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
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KEOD 2021 Best Poster Award
Olszewska, J. (Recipient), Oct 2021
Prize: Prize (including medals and awards)