Requirements for computational rule checking of requests for proposals (RFPs) for building designs in South Korea

Miyoung Uhm, Ghang Lee, Younghyn Park, Sanghun Kim, Jiwon Jung, Jin Kook Lee

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


This study reports on the requirements for developing computer-interpretable rules for checking the compliance of a building design in a request for proposal (RFP), especially in the building information modeling (BIM) environment. It focuses on RFPs for large public buildings (over 5 million dollars) in South Korea, which generally entail complex designs. A total of 27 RFPs for housing, office, exhibition, hospital, sports center, and courthouse projects were analyzed to develop computer-interpreted RFP rules. Each RFP was composed of over 1800 sentences. Of these, only three to 366 sentences could be translated into a computer-interpretable sentence. For further analysis, this study deployed context-free grammar (CFG) in natural language processing, and classified morphemes into four categories: i.e., object (noun), method (verb), strictness (modal), and others. The subcategorized morphemes included three types of objects, twenty-nine types of methods, and five levels of strictness. The coverage applicability of the derived objects and methods was checked and validated against three additional RFP cases and then through a test case using a newly developed model checker system. The findings are expected to be useful as a guideline and basic data for system developers in the development of a generalized automated design checking system for South Korea.

Original languageEnglish
Article number609
Pages (from-to)602-615
Number of pages14
JournalAdvanced Engineering Informatics
Issue number3
Publication statusPublished - 2015 Aug 1

Bibliographical note

Funding Information:
This research was supported by a grant (14AUDP-C067817-02) from the Architecture & Urban Development Research Program funded by the Ministry of Land, Infrastructure and Transport of the Republic of Korea.

Publisher Copyright:
© 2015 Elsevier Ltd.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Artificial Intelligence


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