Abstract
This paper aims to describe the visual languagebased approach to define building permit related rules in the much intuitive way and support high applicability. The advent of BIM (Building Information Modeling) enables an automatic rulechecking process in the early phase of design by translation and interpretation of regulation about building design assessment. For the precise rulechecking process, a logic rule-based mechanism for translating is needed as prerequisite step and the rule-making process have to be proceeded based on this mechanism. Accordingly, Korea government also proceeding the KBim project for employing BIM to adapt automatic approach to the overall process of building permission system. As the part of the project, KBimLogic offers logic rule-based mechanism which in charge of rule-making by translating natural language regulation sentences in Korea Building Act into the computer-readable form-KBimCode. This paper introduces the KBim Visual Language (KBVL), the extended way of composing the rule module of building related regulations by the visual elements for the intuitive and immediate identifying the process and result of rule-making. The language supports user to combine visual symbols and their connection according to the user-defined nesting relation and generate KBimCode automatically at the background of the visual language. Thus, intuitive composing shorten the time of generating rule modules and defining the logical relation between the modules. As the result, the user can handily query the components of KBimCode and define relation of them to compose tailored ruleset for their own rule-checking process with various type of software.
Original language | English |
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Pages | 423-429 |
Number of pages | 7 |
Publication status | Published - 2017 |
Event | 34th International Symposium on Automation and Robotics in Construction, ISARC 2017 - Taipei, Taiwan, Province of China Duration: 2017 Jun 28 → 2017 Jul 1 |
Other
Other | 34th International Symposium on Automation and Robotics in Construction, ISARC 2017 |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 17/6/28 → 17/7/1 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2015R1C1A1A01053497)
All Science Journal Classification (ASJC) codes
- Building and Construction
- Computer Vision and Pattern Recognition
- Artificial Intelligence