This paper describes an approach to utilizing natural language processing (NLP) to capture design requirements from the natural language-based architectural documents. In various design stage of the architectural process, there are several different kinds of documents describing requirements for buildings. Capturing the design requirements from those documents is based on extracting information of objects, their properties, and relations. Until recently, interpreting and extracting that information from documents are almost done by a manual process. To intelligently automate the conventional process, the computer has to understand the semantics of natural languages. In this regards, this paper suggests an approach to utilizing NLP for semantic analysis which enables the computer to understand the semantics of the given text data. The proposed approach has following steps: 1) extract noun words which mostly represent objects and property data in Korean Building Act; 2) analyze the semantic relations between words, using NLP and deep learning; 3) Based on domain database, translate the noun words in objects and properties data and find out their relations.
|Title of host publication||CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia|
|Subtitle of host publication||Learning, Prototyping and Adapting|
|Editors||Suleiman Alhadidi, Tomohiro Fukuda, Weixin Huang, Patrick Janssen, Kristof Crolla|
|Publisher||The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)|
|Number of pages||8|
|Publication status||Published - 2018|
|Event||23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018 - Beijing, China|
Duration: 2018 May 17 → 2018 May 19
|Name||CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting|
|Other||23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, CAADRIA 2018|
|Period||18/5/17 → 18/5/19|
Bibliographical noteFunding Information:
This research was supported by a grant(18AUDP-B127891-02) from Architecture & Urban Development Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.
© 2018 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) in Hong Kong.
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Building and Construction