An Artificial Intelligence-Based Framework for Automated Information Inquiry from Building Information Models Using Natural Language Processing and Ontology-Reference-Cited by-同舟云学术

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An Artificial Intelligence-Based Framework for Automated Information Inquiry from Building Information Models Using Natural Language Processing and Ontology

Published:2024-01-25 Issue: Volume:111 Page:381-389
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Nabavi Armin¹²³,Ramaji Issa¹²³,Sadeghi Naimeh¹²³

Affiliation:

1. Graduate Student, Dept. of Civil Engineering, K.N. Toosi Univ. of Technology, Tehran, Iran.

2. Associate Professor, School of Engineering, Computing, and Construction Management, Roger Williams Univ., Bristol, RI.

3. Assistant Professor, Dept. of Civil Engineering, K.N. Toosi Univ. of Technology, Tehran, Iran.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485231.046

Reference26 articles.

1. Bird, S., Klein, E., and Loper, E. 2009. Natural language processing with Python: analyzing text with the natural language toolkit, O’Reilly Media, Inc.”.

2. A review on knowledge discovery using text classification techniques in text mining;Desai A.;International Journal of Computer Applications,2015

3. Construction risk knowledge management in BIM using ontology and semantic web technology

4. Gamil Y. and Rahman I. A. R. 2019. Awareness and challenges of building information modelling (BIM) implementation in the Yemen construction industry. Journal of Engineering Design and Technology.

5. A query expansion method for retrieving online BIM resources based on Industry Foundation Classes

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