scholarly journals Matching Real-World Facilities to Building Information Modeling Data Using Natural Language Processing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 119465-119475 ◽  
Author(s):  
Qingsheng Xie ◽  
Xiaoping Zhou ◽  
Jia Wang ◽  
Xinao Gao ◽  
Xi Chen ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Real World ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Building Information ◽  
Modeling Data

scholarly journals Exploring Natural Language Processing in Construction and Integration with Building Information Modeling: A Scientometric Analysis

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 583
Author(s):  
Mirko Locatelli ◽  
Elena Seghezzi ◽  
Laura Pellegrini ◽  
Lavinia Chiara Tagliabue ◽  
Giuseppe Martino Di Giuda
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Construction Industry ◽  
Language Processing ◽  
Building Information Modeling ◽  
The Body ◽  
Information Modeling ◽  
Scientometric Analysis ◽  
Full Potential ◽  
Building Information

The European Union (EU) aims to increase the efficiency and productivity of the construction industry. The EU suggests pairing Building Information Modeling with other digitalization technologies to seize the full potential of the digital transition. Meanwhile, industrial applications of Natural Language Processing (NLP) have emerged. The growth of NLP is affecting the construction industry. However, the potential of NLP and the combination of an NLP and BIM approach is still unexplored. The study tries to address this lack by applying a scientometric analysis to explore the state of the art of NLP in the AECO sector, and the combined applications of NLP and BIM. Science mapping is used to analyze 254 bibliographic records from Scopus Database analyzing the structure and dynamics of the domain by drawing a picture of the body of knowledge. NLP in AECO, and its pairing with BIM domain and applications, are investigated by representing: Conceptual, Intellectual, and Social structure. The highest number of NLP applications in AECO are in the fields of Project, Safety, and Risk Management. Attempts at combining NLP and BIM mainly concern the Automated Compliance Checking and semantic BIM enrichment goals. Artificial intelligence, learning algorithms, and ontologies emerge as the most widespread and promising technological drivers.

1243-P: Novel Use of Natural Language Processing to Identify Reasons for Insulin Discontinuation in Patients with T2DM: A Real-World Evidence Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1243-P
Author(s):  
JIANMIN WU ◽  
FRITHA J. MORRISON ◽  
ZHENXIANG ZHAO ◽  
XUANYAO HE ◽  
MARIA SHUBINA ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Real World ◽  
Real World Evidence

scholarly journals Applicability of Formwork Automation Design Software for Aluminum Formwork

2020 ◽  
Vol 10 (24) ◽  
pp. 9029
Author(s):  
Bokyeong Lee ◽  
Hyeonggil Choi ◽  
Byongwang Min ◽  
Dong-Eun Lee
Keyword(s):  
Computer Aided Design ◽  
Building Information Modeling ◽  
Three Dimensional ◽  
Simple Algorithm ◽  
Information Modeling ◽  
Two Dimensional ◽  
Building Information ◽  
Design Software ◽  
Modeling Data ◽  
Aided Design

In this study, by applying the developed formwork automation design software to three target structures, we reviewed the applicability of the formwork automation design software for the aluminum formwork. To apply the formwork automation design software, we built an aluminum formwork library based on the conversion of two-dimensional (2D) computer-aided design (CAD) data to three-dimensional building information modeling data for all the components of the aluminum formwork. The results of the automated formwork layout on the target structures using the formwork automation design software confirmed that the wall and deck members were laid out by the set algorithm according to the formwork size and direction. However, because of the limited functionality of the software, the level of completion of the formwork layout was found to be lower than that of the manual formwork layout based on 2D CAD data. The currently developed software is based on a simple algorithm, but has a drawback in that the automated layout is limited to only some of its members. Therefore, additional research should be conducted on the development of advanced software through the diversification of the algorithm, automation of preprocessing of the mesh, and analysis of the relationships of all the members comprising the formwork.

scholarly journals NATURAL LANGUAGE PROCESSING AND BIM IN AECO SECTOR: A STATE OF THE ART

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Giuseppe Martino Di Giuda ◽  
Mirko Locatelli ◽  
Elena Seghezzi
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
State Of The Art ◽  
Structured Data ◽  
Information Modeling ◽  
Construction Process ◽  
Management Techniques ◽  
Design Requirements ◽  
Further Development

The research provides state-of-the-art theories, methods, and applications of Natural Language Processing in a BIM approach to define advantages, weaknesses, and potential developments. Traditionally, the design and construction process requirements are expressed through verbal qualitative evaluations instead of using numerical and structured data. Information modeling and management methods can hardly manage requirements expressed by means of qualitative and unstructured expressions. This paper aims to define the state of the art on Natural Language Processing applications for the numerical translation of basic design requirements in the AECO sector. The major advantages of this research would be the optimization and automation of numerical definition and validation of requirements in a structured data form. Structured data can, in fact, be easily managed in a BIM approach. NLP supporting information modeling methods allows the application of requirements engineering and management techniques to handle construction processes from a data-driven perspective. An investigation of the setting of a decision support system, based on NLP, for the definition and validation of requirements in the early stages of the construction process, is also provided as a potential further development.

scholarly journals Multi-scale Information Retrieval for BIM using Hierarchical Structure Modelling and Natural Language Processing

2021 ◽  
Vol 26 ◽  
pp. 409-426
Author(s):  
Jie Wang ◽  
Xinao Gao ◽  
Xiaoping Zhou ◽  
Qingshen Xie
Keyword(s):  
Information Retrieval ◽  
Natural Language Processing ◽  
Natural Language ◽  
Hierarchical Structure ◽  
Language Processing ◽  
Tree Model ◽  
Multi Scale ◽  
Building Information ◽  
The Hierarchical Structure ◽  
Retrieval Scheme

Building Information Modelling (BIM) captures numerous information the life cycle of buildings. Information retrieval is one of fundamental tasks for BIM decision support systems. Currently, most of the BIM retrieval systems focused on querying existing BIM models from a BIM database, seldom studies explore the multi-scale information retrieval from a BIM model. This study proposes a multi-scale information retrieval scheme for BIM jointly using the hierarchical structure of BIM and Natural Language Processing (NLP). Firstly, a BIM Hierarchy Tree (BIH-Tree) model is constructed to interpret the hierarchical structure relations among BIM data according to Industry Foundation Class (IFC) specification. Secondly, technologies of NLP and International Framework for Dictionaries (IFD) are employed to parse and unify the queries. Thirdly, a novel information retrieval scheme is developed to find the multi-scale information associated with the unified queries. Finally, the retrieval method proposed in this study is applied to an engineering case, and the practical results show that the proposed method is effective.

Simulation and Visualization of Concept Algebra in MATLAB

2014 ◽  
Vol 6 (1) ◽  
pp. 30-55 ◽  
Author(s):  
Xiaoyu Lin ◽  
Yingxu Wang
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Mathematical Models ◽  
Language Processing ◽  
Real World ◽  
Formal Knowledge ◽  
Design And Implementation ◽  
Visualization Software ◽  
Formal Concepts ◽  
Algebraic Operations

Concept algebra (CA) is a denotational mathematics for formal knowledge manipulation and natural language processing. In order to explicitly demonstrate the mathematical models of formal concepts and their algebraic operations in CA, a simulation and visualization software is developed in the MATLAB environment known as the Visual Simulator of Concept Algebra (VSCA). This paper presents the design and implementation of VSCA and the theories underpinning its development. Visual simulations for the sets of reproductive and compositional operations of CA are demonstrated by real-world examples throughout the elaborations of CA and VSCA.

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