Smart lifts: an ontological perspective

D. Slee; S. Cain; P. Vichare; J.I. Olszewska

doi:10.5220/0010690700003064

Smart lifts: an ontological perspective

D. Slee
, S. Cain
, P. Vichare
, J.I. Olszewska

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

226 Downloads (Pure)

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	https://doi.org/10.5220/0010690700003064
Publication status	Published - 2021

Publication series

Name	Conference Proceedings
Publisher	SciTePress
ISSN (Print)	2184-3228

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 17 Partnerships for the Goals

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

Access to Document

10.5220/0010690700003064Licence: CC BY-NC-ND

2021 10 07 Slee et al Smart acceptedAccepted author manuscript, 454 KBLicence: CC BY-NC-ND

KEOD 2021 Best Poster Award
Olszewska, J. (Recipient), Oct 2021
Prize: Prize (including medals and awards)

Cite this

Slee, D., Cain, S., Vichare, P., & Olszewska, J. I. (2021). Smart lifts: an ontological perspective. In D. Aveiro, J. Dietz, & J. Filipe (Eds.), Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD (Vol. 2, pp. 210-219). (Conference Proceedings). SciTePress. https://doi.org/10.5220/0010690700003064

@inproceedings{863dcc23fb8f4d7a80a2852769a257f7,

title = "Smart lifts: an ontological perspective",

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.",

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",

author = "D. Slee and S. Cain and P. Vichare and J.I. Olszewska",

year = "2021",

doi = "10.5220/0010690700003064",

language = "English",

isbn = "9789897585333",

volume = "2",

series = "Conference Proceedings",

publisher = "SciTePress",

pages = "210--219",

editor = "David Aveiro and Jan Dietz and Joaquim Filipe",

booktitle = "Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD",

address = "Portugal",

}

Smart lifts: an ontological perspective. / Slee, D.; Cain, S.; Vichare, P. et al.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD. ed. / David Aveiro; Jan Dietz; Joaquim Filipe. Vol. 2 SciTePress, 2021. p. 210-219 (Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Smart lifts

T2 - an ontological perspective

AU - Slee, D.

AU - Cain, S.

AU - Vichare, P.

AU - Olszewska, J.I.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - industry 4.0

KW - smart lift services

KW - digital twin

KW - human-machine systems

KW - cyber-physical systems

KW - knowledge engineering

KW - knowledge representation

KW - interoperability

KW - ontology engineering

KW - enterprise ontology

KW - ontological domain analysis and modeling

U2 - 10.5220/0010690700003064

DO - 10.5220/0010690700003064

M3 - Conference contribution

SN - 9789897585333

VL - 2

T3 - Conference Proceedings

SP - 210

EP - 219

BT - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD

A2 - Aveiro, David

A2 - Dietz, Jan

A2 - Filipe, Joaquim

PB - SciTePress

ER -

Smart lifts: an ontological perspective

Abstract

Publication series

UN SDGs

Keywords

Access to Document

Fingerprint

Prizes

KEOD 2021 Best Poster Award

Cite this