Automated generation of SPARQL queries from semantic mark-up

Nicholas Nisbet; Zijing Zhang; Ling Ma

doi:10.35490/EC3.2023.207

Automated generation of SPARQL queries from semantic mark-up

Nicholas Nisbet, Zijing Zhang, Ling Ma

Civil Engineering

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Regulations and requirement documents contain normative knowledge that needs to be compared against actual and proposed built assets, if safety and social expectations are to be met. Previous work has shown that semantic mark-up of normative documents can be consumed directly by a rule-engine or can be automatically transformed to a number of existing rule representations. This work investigates the feasibility of automatically transforming examples of normative documents into SPARQL and testing the result against typical building information models. The desirability of using SPARQL is discussed.

Original language	English
Title of host publication	Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference
Editors	Mohamad Kassem, Lavinia Chiara Tagliabue, Robert Amor, Marijana Sreckovic, Athanasios Chassiakos
Number of pages	8
DOIs	https://doi.org/10.35490/EC3.2023.207
Publication status	Published - 10 Jul 2023
Event	2023 European Conference on Computing in Construction and Summer School 2023 CIB W78 40th International Conference and Charles M. Eastman PhD Award - Heraklion, Greece Duration: 10 Jul 2023 → 12 Jul 2023

Publication series

Name	Proceedings of the European Conference on Computing in Construction
Volume	2023
ISSN (Electronic)	2684-1150

Conference

Conference	2023 European Conference on Computing in Construction and Summer School 2023 CIB W78 40th International Conference and Charles M. Eastman PhD Award
Country/Territory	Greece
City	Heraklion
Period	10/07/23 → 12/07/23

Access to Document

10.35490/EC3.2023.207

Cite this

Nisbet, N., Zhang, Z., & Ma, L. (2023). Automated generation of SPARQL queries from semantic mark-up. In M. Kassem, L. C. Tagliabue, R. Amor, M. Sreckovic, & A. Chassiakos (Eds.), Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference (Proceedings of the European Conference on Computing in Construction; Vol. 2023). https://doi.org/10.35490/EC3.2023.207

Nisbet, Nicholas ; Zhang, Zijing ; Ma, Ling. / Automated generation of SPARQL queries from semantic mark-up. Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference. editor / Mohamad Kassem ; Lavinia Chiara Tagliabue ; Robert Amor ; Marijana Sreckovic ; Athanasios Chassiakos. 2023. (Proceedings of the European Conference on Computing in Construction).

@inproceedings{c16289a5e631455dad41e990f72d638e,

title = "Automated generation of SPARQL queries from semantic mark-up",

abstract = "Regulations and requirement documents contain normative knowledge that needs to be compared against actual and proposed built assets, if safety and social expectations are to be met. Previous work has shown that semantic mark-up of normative documents can be consumed directly by a rule-engine or can be automatically transformed to a number of existing rule representations. This work investigates the feasibility of automatically transforming examples of normative documents into SPARQL and testing the result against typical building information models. The desirability of using SPARQL is discussed.",

author = "Nicholas Nisbet and Zijing Zhang and Ling Ma",

year = "2023",

month = jul,

day = "10",

doi = "10.35490/EC3.2023.207",

language = "English",

isbn = "9780701702731",

series = "Proceedings of the European Conference on Computing in Construction",

editor = "Mohamad Kassem and Tagliabue, {Lavinia Chiara} and Robert Amor and Marijana Sreckovic and Athanasios Chassiakos",

booktitle = "Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference",

note = "2023 European Conference on Computing in Construction and Summer School 2023 CIB W78 40th International Conference and Charles M. Eastman PhD Award ; Conference date: 10-07-2023 Through 12-07-2023",

}

Nisbet, N, Zhang, Z & Ma, L 2023, Automated generation of SPARQL queries from semantic mark-up. in M Kassem, LC Tagliabue, R Amor, M Sreckovic & A Chassiakos (eds), Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference. Proceedings of the European Conference on Computing in Construction, vol. 2023, 2023 European Conference on Computing in Construction and Summer School 2023 CIB W78 40th International Conference and Charles M. Eastman PhD Award, Heraklion, Greece, 10/07/23. https://doi.org/10.35490/EC3.2023.207

Automated generation of SPARQL queries from semantic mark-up. / Nisbet, Nicholas; Zhang, Zijing; Ma, Ling.
Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference. ed. / Mohamad Kassem; Lavinia Chiara Tagliabue; Robert Amor; Marijana Sreckovic; Athanasios Chassiakos. 2023. (Proceedings of the European Conference on Computing in Construction; Vol. 2023).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Automated generation of SPARQL queries from semantic mark-up

AU - Nisbet, Nicholas

AU - Zhang, Zijing

AU - Ma, Ling

PY - 2023/7/10

Y1 - 2023/7/10

N2 - Regulations and requirement documents contain normative knowledge that needs to be compared against actual and proposed built assets, if safety and social expectations are to be met. Previous work has shown that semantic mark-up of normative documents can be consumed directly by a rule-engine or can be automatically transformed to a number of existing rule representations. This work investigates the feasibility of automatically transforming examples of normative documents into SPARQL and testing the result against typical building information models. The desirability of using SPARQL is discussed.

AB - Regulations and requirement documents contain normative knowledge that needs to be compared against actual and proposed built assets, if safety and social expectations are to be met. Previous work has shown that semantic mark-up of normative documents can be consumed directly by a rule-engine or can be automatically transformed to a number of existing rule representations. This work investigates the feasibility of automatically transforming examples of normative documents into SPARQL and testing the result against typical building information models. The desirability of using SPARQL is discussed.

UR - https://ec-3.org/publications/conference/paper/?id=EC32023_207

UR - http://www.scopus.com/inward/record.url?scp=85177234209&partnerID=8YFLogxK

U2 - 10.35490/EC3.2023.207

DO - 10.35490/EC3.2023.207

M3 - Conference publication

AN - SCOPUS:85177234209

SN - 9780701702731

T3 - Proceedings of the European Conference on Computing in Construction

BT - Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference

A2 - Kassem, Mohamad

A2 - Tagliabue, Lavinia Chiara

A2 - Amor, Robert

A2 - Sreckovic, Marijana

A2 - Chassiakos, Athanasios

T2 - 2023 European Conference on Computing in Construction and Summer School 2023 CIB W78 40th International Conference and Charles M. Eastman PhD Award

Y2 - 10 July 2023 through 12 July 2023

ER -

Nisbet N, Zhang Z, Ma L. Automated generation of SPARQL queries from semantic mark-up. In Kassem M, Tagliabue LC, Amor R, Sreckovic M, Chassiakos A, editors, Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference. 2023. (Proceedings of the European Conference on Computing in Construction). doi: 10.35490/EC3.2023.207

Automated generation of SPARQL queries from semantic mark-up

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this