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Abstract
Recently there has been a strong interest in using semantic technologies to improve information management in the construction domain. Ontologies provide a formalized domain knowledge representation that provides a structured information model to facilitate information management issues such as formalization and integration of construction workflow information and data and enables further applications such as information retrieval and reasoning. SPARQL Protocol And RDF Query Language (SPARQL) queries are the main approaches to conduct the information retrieval from the Resource Description Framework (RDF) format data. However, there is a barrier for end users to develop the SPARQL queries, as it requires proficient skills to code them. This challenge hinders the practical application of ontology-based approaches on construction sites. As a generative language model, ChatGPT has already illustrated its capability to process and generate human-like text, including the capability to generate the SPARQL for domain-specific tasks. However, there are no specific tests evaluating and assessing the SPARQL-generating capability of ChatGPT within the construction domain. Therefore, this paper focuses on exploring the usage of ChatGPT with a case of importing the Digital Construction Ontologies (DiCon) and generating SPARQL queries for specific construction workflow information retrieval. We evaluate the generated queries with metrics including syntactical correctness, plausible query structure, and coverage of correct answers
Original language | English |
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Title of host publication | CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality |
Subtitle of host publication | Managing the Digital Transformation of Construction Industry |
Editors | Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi |
Publisher | Firenze University Press |
Pages | 751-760 |
Number of pages | 10 |
ISBN (Electronic) | 979-12-215-0289-3, 979-12-215-0257-2 |
DOIs | |
Publication status | Published - 2023 |
MoE publication type | A4 Conference publication |
Event | International Conference on Construction Applications of Virtual Reality - Firenze, Italy Duration: 13 Nov 2023 → 15 Nov 2023 Conference number: 23 |
Publication series
Name | Proceedings e report |
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Number | 137 |
ISSN (Print) | 2704-601X |
ISSN (Electronic) | 2704-5846 |
Conference
Conference | International Conference on Construction Applications of Virtual Reality |
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Abbreviated title | CONVR |
Country/Territory | Italy |
City | Firenze |
Period | 13/11/2023 → 15/11/2023 |
Keywords
- semantic web
- ontology
- ChatGPT
- RDF
- information retrieval
- construction
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ACTOR - Seppänen - T21400: Automatic coordination of construction actors (ACTOR)
Seppänen, O. (Principal investigator), Al Barazi, A. (Project Member), Abou Ibrahim, H. (Project Member), Görsch, C. (Project Member), Zheng, Y. (Project Member), Chauhan, I. (Project Member) & Saif, A. (Project Member)
EU The Recovery and Resilience Facility (RRF)
01/01/2022 → 31/03/2024
Project: Business Finland: Strategic centres for science, technology and innovation (SHOK)