Ontology-Based Construction Process Library for Process States Inference

Yuan Zheng; Olli Seppänen; Mustafa Khalid Masood; Seppo Törmä

doi:10.1007/978-3-031-35399-4_32

Ontology-Based Construction Process Library for Process States Inference

Yuan Zheng^*, Olli Seppänen, Mustafa Khalid Masood, Seppo Törmä

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

Abstrakti

This paper presents a new approach for modeling construction state inferencing rules using Semantic Web ontologies. This approach focuses on facilitating the shareability of the rules with ontology formalized meta information and SHACL-based rule body. Meanwhile, using the DiCon ontology as a unique terminology box, the rule could be reused directly for different construction data sources. The modeled rules would thus be collected as a shared library so that different users could search and reuse the rule in the library. The proposed ontology and CPL framework modeled were tested in an example case to demonstrate the usage of the ontology and framework.

Alkuperäiskieli	Englanti
Otsikko	Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1
Toimittajat	Sebastian Skatulla, Hans Beushausen
Kustantaja	Springer
Sivut	431-447
Sivumäärä	17
ISBN (painettu)	978-3-031-35398-7
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-031-35399-4_32
Tila	Julkaistu - 2024
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Computing in Civil and Building Engineering - Cape Town, Etelä-Afrikka Kesto: 26 lokak. 2022 → 28 lokak. 2022 Konferenssinumero: 19

Julkaisusarja

Nimi	Lecture Notes in Civil Engineering
Vuosikerta	357
ISSN (painettu)	2366-2557
ISSN (elektroninen)	2366-2565

Conference

Conference	International Conference on Computing in Civil and Building Engineering
Lyhennettä	ICCCBE
Maa/Alue	Etelä-Afrikka
Kaupunki	Cape Town
Ajanjakso	26/10/2022 → 28/10/2022

Pääsy asiakirjaan

10.1007/978-3-031-35399-4_32

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

ACTOR - Seppänen - T21400: Automatic coordination of construction actors (ACTOR)
Seppänen, O. (Vastuullinen tutkija)
EU The Recovery and Resilience Facility (RRF)
01/01/2022 → 31/12/2023
Projekti: Business Finland: Strategic centres for science, technology and innovation (SHOK)

Siteeraa tätä

Zheng, Y., Seppänen, O., Masood, M. K., & Törmä, S. (2024). Ontology-Based Construction Process Library for Process States Inference. teoksessa S. Skatulla, & H. Beushausen (Toimittajat), Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1 (Sivut 431-447). (Lecture Notes in Civil Engineering; Vuosikerta 357). Springer. https://doi.org/10.1007/978-3-031-35399-4_32

@inproceedings{c472c07861db43b8b2b40b0c39ef80b6,

title = "Ontology-Based Construction Process Library for Process States Inference",

abstract = "This paper presents a new approach for modeling construction state inferencing rules using Semantic Web ontologies. This approach focuses on facilitating the shareability of the rules with ontology formalized meta information and SHACL-based rule body. Meanwhile, using the DiCon ontology as a unique terminology box, the rule could be reused directly for different construction data sources. The modeled rules would thus be collected as a shared library so that different users could search and reuse the rule in the library. The proposed ontology and CPL framework modeled were tested in an example case to demonstrate the usage of the ontology and framework.",

keywords = "Construction Digital Twins (DTC), Construction Process Library, Inference, Ontology, Rule, SHACL",

author = "Yuan Zheng and Olli Sepp{\"a}nen and Masood, {Mustafa Khalid} and Seppo T{\"o}rm{\"a}",

note = "Funding Information: This research was financially supported by the ACTOR project. ACTOR is supported by Business Finland{\textquoteright}s Low Carbon Built Environment Program that receives funding from the EU{\textquoteright}s Recovery and Resilience Facility (from 2022-). The content of this publication reflects the authors{\textquoteright} view only, and the ACTOR project consortium is not responsible for any use that may be made of the information it contains. The authors are grateful for the study{\textquoteright}s financial support. Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Computing in Civil and Building Engineering, ICCCBE ; Conference date: 26-10-2022 Through 28-10-2022",

year = "2024",

doi = "10.1007/978-3-031-35399-4_32",

language = "English",

isbn = "978-3-031-35398-7",

series = "Lecture Notes in Civil Engineering",

publisher = "Springer",

pages = "431--447",

editor = "Sebastian Skatulla and Hans Beushausen",

booktitle = "Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1",

address = "Germany",

}

Zheng, Y, Seppänen, O, Masood, MK & Törmä, S 2024, Ontology-Based Construction Process Library for Process States Inference. julkaisussa S Skatulla & H Beushausen (toim), Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1. Lecture Notes in Civil Engineering, Vuosikerta 357, Springer, Sivut 431-447, International Conference on Computing in Civil and Building Engineering, Cape Town, Etelä-Afrikka, 26/10/2022. https://doi.org/10.1007/978-3-031-35399-4_32

Ontology-Based Construction Process Library for Process States Inference. / Zheng, Yuan; Seppänen, Olli; Masood, Mustafa Khalid et al.
Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1. toim. / Sebastian Skatulla; Hans Beushausen. Springer, 2024. s. 431-447 (Lecture Notes in Civil Engineering; Vuosikerta 357).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Ontology-Based Construction Process Library for Process States Inference

AU - Zheng, Yuan

AU - Seppänen, Olli

AU - Masood, Mustafa Khalid

AU - Törmä, Seppo

N1 - Conference code: 19

PY - 2024

Y1 - 2024

N2 - This paper presents a new approach for modeling construction state inferencing rules using Semantic Web ontologies. This approach focuses on facilitating the shareability of the rules with ontology formalized meta information and SHACL-based rule body. Meanwhile, using the DiCon ontology as a unique terminology box, the rule could be reused directly for different construction data sources. The modeled rules would thus be collected as a shared library so that different users could search and reuse the rule in the library. The proposed ontology and CPL framework modeled were tested in an example case to demonstrate the usage of the ontology and framework.

AB - This paper presents a new approach for modeling construction state inferencing rules using Semantic Web ontologies. This approach focuses on facilitating the shareability of the rules with ontology formalized meta information and SHACL-based rule body. Meanwhile, using the DiCon ontology as a unique terminology box, the rule could be reused directly for different construction data sources. The modeled rules would thus be collected as a shared library so that different users could search and reuse the rule in the library. The proposed ontology and CPL framework modeled were tested in an example case to demonstrate the usage of the ontology and framework.

KW - Construction Digital Twins (DTC)

KW - Construction Process Library

KW - Inference

KW - Ontology

KW - Rule

KW - SHACL

UR - http://www.scopus.com/inward/record.url?scp=85174714607&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-35399-4_32

DO - 10.1007/978-3-031-35399-4_32

M3 - Conference article in proceedings

AN - SCOPUS:85174714607

SN - 978-3-031-35398-7

T3 - Lecture Notes in Civil Engineering

SP - 431

EP - 447

BT - Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1

A2 - Skatulla, Sebastian

A2 - Beushausen, Hans

PB - Springer

T2 - International Conference on Computing in Civil and Building Engineering

Y2 - 26 October 2022 through 28 October 2022

ER -

Zheng Y, Seppänen O, Masood MK, Törmä S. Ontology-Based Construction Process Library for Process States Inference. julkaisussa Skatulla S, Beushausen H, toimittajat, Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1. Springer. 2024. s. 431-447. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-35399-4_32

Ontology-Based Construction Process Library for Process States Inference

Abstrakti

Julkaisusarja

Conference

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

ACTOR - Seppänen - T21400: Automatic coordination of construction actors (ACTOR)

Siteeraa tätä