scholarly journals Semiautomatic Generation of Code Ontology Using ifcOWL in Compliance Checking

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Yuchao Li ◽  
Qin Zhao ◽  
Yunhe Liu ◽  
Xinhong Hei ◽  
Zongjian Li
Keyword(s):  
Domain Knowledge ◽  
Engineering Construction ◽  
Semantic Web Technology ◽  
Hierarchical Relationship ◽  
Knowledge Requirements ◽  
Compliance Checking ◽  
Relationship Of ◽  
Code Compliance ◽  
Manual Review ◽  
Compliance Check

Code compliance checking is a very important step in engineering construction, but most of code compliance checking relies on manual review at present. With the development of semantic web technology, ontology can be used to represent code information and check the code automatically. However, code ontology is established manually by researchers who have sufficient domain knowledge, in which it is easy to cause poor hierarchical structure of classes. It is also possible for code ontology not being suitable for compliance check. This paper proposes a semiautomatic construction method of railway code ontology based on ifcOWL. The railway code ontology is developed by converting ifcOWL which extends semantic information of railway code. This method can ensure the completeness of the hierarchical relationship of the classes in code ontology with good scalability, which makes use of taxonomy in ifcOWL. The establishment of ontology is divided into two processes with low coupling, namely, extension and conversion, which reduces the domain knowledge requirements of the researchers. Finally, a practical specification is selected to generate a code ontology that achieves some clauses checking.

scholarly journals Modeling Human Factors Topics in Aviation Reports

2019 ◽  
Vol 63 (1) ◽  
pp. 126-130
Author(s):  
Beth Lyall-Wilson ◽  
Nicolas Kim ◽  
Elizabeth Hohman
Keyword(s):  
Human Factors ◽  
Topic Modeling ◽  
Domain Knowledge ◽  
Aviation Safety ◽  
Subject Matter Experts ◽  
Text Data ◽  
Modeling Approach ◽  
Modeling Process ◽  
Manual Review ◽  
Initial Extraction

This paper describes the development and new application of a text modeling process for identifying human factors topics, such as fatigue, workload, and distraction in aviation safety reports. Current approaches to identifying human factors topic representations in text data rely on manual review from subject matter experts. The implementation of a semi-supervised text modeling method overcomes the need for lengthy manual review through an initial extraction of pre-defined human factors topics, freeing time for focus on analyzing the information. This modeling approach allows analysts to use keywords to define topics of interest up front and influence the convergence of the model toward a result that reflects them, which provides an advantage over classic topic modeling approaches where domain knowledge is not integrated into the generation of derived topics. This paper includes a description of the modeling approach and rationale, data used, evaluation methods, challenges, and suggestions for future applications.

scholarly journals HINTERLAND MEDAN CITY BETWEEN BINJAI CITY: A GRAVITATION APPROACH

2019 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
Muhammad Nasir
Keyword(s):  
Impulse Response Function ◽  
Unit Root Test ◽  
Gravity Models ◽  
Causality Test ◽  
Hierarchical Relationship ◽  
Integration Test ◽  
Variable Population ◽  
Vecm Granger Causality ◽  
Relationship Of ◽  
The City

Regional economy explains that there is an urban hierarchical relationship, cities that have higher hierarchy will serve cities that are below it as well as cities that are in the hierarchy undersupplying cities that are in the hierarchy above them, so there is a gravitational relationship between the two. This study aims to determine the gravitational relationship of Medan city to the hinterland of the city of Binjai. Furthermore, this study also wants to explain its influence on economic growth in both cities. This analysis tools used are descriptive statistics, gravity models, unit root test, co-integration test, optimal lag, VECM, Granger causality test, impulse response function, and variance decomposition. The results showed that the city of Medan has a gravity style greater than the gravitational style of the city of Binjai. The VECM estimation results show that the gravitational variable in the city of Binjai in lag -1 and lag-2 has a positive and significant effect on the economy of Medan city. Then the economic variable of the city of Binjai itself in lag-1, the population of the city of Medan in lag-2 and the gravity of the city of Medan in lag-2 had a positive and significant effect on the economy of Binjai city. While the variable population of Binjai city in lag -1 and residents of the city of Medan in lag -1 negatively affected the economy of Binjai city.

A Proposal of Data Generation Guide for openBIM-based Building Code Compliance Checking

2021 ◽  
Vol 26 (2) ◽  
pp. 112-121
Author(s):  
Inhan Kim ◽  
Sejin Lee ◽  
Jiyoung Kim ◽  
Ahjin Lee ◽  
Jungsik Choi
Keyword(s):  
Building Code ◽  
Data Generation ◽  
Compliance Checking ◽  
Code Compliance

Code compliance checking by using derived objects

2012 ◽  
Vol 11 (2) ◽  
Author(s):  
E.J. Jin ◽  
J.H. Garrett ◽  
B. Akinci
Keyword(s):  
Compliance Checking ◽  
Code Compliance

Integrating domain knowledge, requirements, and specifications

1991 ◽  
Vol 1 (3-4) ◽  
pp. 283-320 ◽  
Author(s):  
W. Lewis Johnson ◽  
Martin S. Feather ◽  
David R. Harris
Keyword(s):  
Domain Knowledge ◽  
Knowledge Requirements

Risk Analysis of Grid Operational Performance Influencing Factors Based on ISM-Model

2014 ◽  
Vol 986-987 ◽  
pp. 512-515
Author(s):  
Hai Tao YUE ◽  
Xiao Bao Yu ◽  
Pu Yu He ◽  
Hai Bo Liu ◽  
Wen Yan Liu ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Empirical Analysis ◽  
Influencing Factors ◽  
Risk Prediction ◽  
Driving Force ◽  
Theoretical Basis ◽  
Operational Performance ◽  
The Core ◽  
Hierarchical Relationship ◽  
Relationship Of

The ISM model is applied to the influencing factors risk analysis of grid operational performance. The research constructed multilevel hierarchical structure diagram by the association between various factors and reflected the hierarchical relationship of the index intuitively. Select a large driving force factors as the core influencing factors and develop a risk prediction radar diagram to provide a theoretical basis for grid operational performance improving. A provincial power grid company provides the data for empirical analysis to explore the applicability of the model.

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