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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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.

Original language	English
Title of host publication	Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1
Editors	Sebastian Skatulla, Hans Beushausen
Publisher	Springer
Pages	431-447
Number of pages	17
ISBN (Print)	978-3-031-35398-7
DOIs	https://doi.org/10.1007/978-3-031-35399-4_32
Publication status	Published - 2024
MoE publication type	A4 Conference publication
Event	International Conference on Computing in Civil and Building Engineering - Cape Town, South Africa Duration: 26 Oct 2022 → 28 Oct 2022 Conference number: 19

Publication series

Name	Lecture Notes in Civil Engineering
Volume	357
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	International Conference on Computing in Civil and Building Engineering
Abbreviated title	ICCCBE
Country/Territory	South Africa
City	Cape Town
Period	26/10/2022 → 28/10/2022

Keywords

Construction Digital Twins (DTC)
Construction Process Library
Inference
Ontology
Rule
SHACL

Access to Document

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

Cite this

Zheng, Y., Seppänen, O., Masood, M. K., & Törmä, S. (2024). Ontology-Based Construction Process Library for Process States Inference. In S. Skatulla, & H. Beushausen (Eds.), Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1 (pp. 431-447). (Lecture Notes in Civil Engineering; Vol. 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. in S Skatulla & H Beushausen (eds), Advances in Information Technology in Civil and Building Engineering - Proceedings of ICCCBE 2022 - Volume 1. Lecture Notes in Civil Engineering, vol. 357, Springer, pp. 431-447, International Conference on Computing in Civil and Building Engineering, Cape Town, South Africa, 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. ed. / Sebastian Skatulla; Hans Beushausen. Springer, 2024. p. 431-447 (Lecture Notes in Civil Engineering; Vol. 357).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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

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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 -

Ontology-Based Construction Process Library for Process States Inference

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

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

Cite this

Ontology-Based Construction Process Library for Process States Inference

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

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

Cite this