Abstracts – Browse Results
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Adeyeye, K (2024) From product to service – strategies for upscaling smart home performance monitoring. Building Research & Information, 52(01–02), 107–28.
Al-Aomar, R, AlTal, M and Abel, J (2024) A data-driven predictive maintenance model for hospital HVAC system with machine learning. Building Research & Information, 52(01–02), 207–24.
Božiček, D, Almezeraani, Y and Košir, M (2024) Making sense of LCA results when evaluating multiple building designs – comparison of interpretation concepts. Building Research & Information, 52(01–02), 129–47.
Calcerano, F, Thravalou, S, Martinelli, L, Alexandrou, K, Artopoulos, G and Gigliarelli, E (2024) Energy and environmental improvement of built heritage: HBIM simulation-based approach applied to nine Mediterranean case-studies. Building Research & Information, 52(01–02), 225–47.
Ghansah, F A, Owusu-Manu, D, Edwards, D J, Thwala, W D, Yamoah Agyemang, D and Ababio, B K (2024) A framework for smart building technologies implementation in the Ghanaian construction industry: a PLS-SEM approach. Building Research & Information, 52(01–02), 148–63.
Kalla, M, Kalaycioglu, O, Hecht, R, Schneider, S and Schmidt, C (2024) Station biophilia – assessing the perception of greenery on railway platforms using a digital twin. Building Research & Information, 52(01–02), 164–80.
Kumari, P, Reddy, S R N and Yadav, R (2024) Indoor occupancy detection and counting system based on boosting algorithm using different sensor data. Building Research & Information, 52(01–02), 87–106.
Lai, H and Chiang, W (2024) Generative design of terraced concert hall – a case study of Taipei music and library centre. Building Research & Information, 52(01–02), 49–67.
Liang, H, Weng, Y, Tang, S W Y and Yeoh, J K W (2024) Automated filtering of façade defect images using a similarity method for enhanced inspection documentation. Building Research & Information, 52(01–02), 194–206.
Prieto, A J, Torres-González, M and Carpio, M (2024) Virtual web-based instruments in the evaluation of functional degradation of heritage timber buildings. Building Research & Information, 52(01–02), 181–93.
Saeidlou, S and Ghadiminia, N (2024) A construction cost estimation framework using DNN and validation unit. Building Research & Information, 52(01–02), 38–48.
Yıldız, B, Çağdaş, G and Zincir, I (2024) Architectural space classification considering topological and 3D visual spatial relations using machine learning techniques. Building Research & Information, 52(01–02), 68–86.
Yang, X, Zhong, H, Wang, Z, Du, P, Zhou, K, Zhou, H, Lai, X, Lau, Y L, Song, Y and Tang, L (2024) BEKG: A built environment knowledge graph. Building Research & Information, 52(01–02), 19–37.
- Type: Journal Article
- Keywords: Built environment; knowledge graph; machine learning; natural language processing; scientific knowledge discovery;
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613218.2023.2238851
- Abstract:
In recent years, the digitalization of the built environment has progressed rapidly due to the development of modern design and construction technologies. However, the need for extensive professional knowledge in this field has not been met by practitioners and scholars. To address this problem, a study was conducted to build a knowledge graph in the built environment domain, which stores entities and their connections in a graph data model. To achieve it, this research collected more than 80,000 paper abstracts from the built environment domain. To ensure the accuracy of entities and relationships in the knowledge graph, two well-annotated datasets were created with 29 types of relationships, each containing 2000 and 1450 instances, respectively, for Named Entity Recognition (NER) and relationship extraction (RE) tasks. Two BERT-based models were trained on these datasets and achieved over 85% accuracy in both tasks. Using these models, over 200,000 high-quality relationships and entities were extracted from abstract data. This comprehensive knowledge graph will help practitioners and scholars better understand the built environment domain.
Zhou, S ( (2024) Platforming for industrialized building: a comparative case study of digitally-enabled product platforms. Building Research & Information, 52(01–02), 4–18.