| contributor author | Ghang Lee | |
| contributor author | Jongsung Won | |
| contributor author | Sungil Ham | |
| contributor author | Yuna Shin | |
| date accessioned | 2017-05-08T21:40:20Z | |
| date available | 2017-05-08T21:40:20Z | |
| date copyright | March 2011 | |
| date issued | 2011 | |
| identifier other | %28asce%29cp%2E1943-5487%2E0000085.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59045 | |
| description abstract | Recently, several papers reported problems in data exchange using industry foundation classes (IFC). However, most comparisons were made based on a visual check, a manual count, and observation of properties that were selectively chosen. This study proposes a set of metrics for quantifying the similarities and differences between IFC files. The proposed metrics include the similarity rate, the matching rate, the globally unique identifier (GUID) preservation rate, the missing rate, and the addition rate. A long-term goal of this study is to develop a set of metrics for quantifying the information exchange rate between two IFC files. Automated identification of modified information versus newly generated information is an unsolved challenge. The proposed metrics were used in analyzing 88 IFC files generated from different systems to demonstrate the potential use of the proposed metrics. | |
| publisher | American Society of Civil Engineers | |
| title | Metrics for Quantifying the Similarities and Differences between IFC Files | |
| type | Journal Paper | |
| journal volume | 25 | |
| journal issue | 2 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000077 | |
| tree | Journal of Computing in Civil Engineering:;2011:;Volume ( 025 ):;issue: 002 | |
| contenttype | Fulltext | |
