contributor author | Madhav Prasad Nepal | |
contributor author | Sheryl Staub-French | |
contributor author | Rachel Pottinger | |
contributor author | Jiemin Zhang | |
date accessioned | 2017-05-08T21:40:41Z | |
date available | 2017-05-08T21:40:41Z | |
date copyright | September 2013 | |
date issued | 2013 | |
identifier other | %28asce%29cp%2E1943-5487%2E0000237.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59211 | |
description abstract | A building information model (BIM) provides a rich representation of a building’s design. However, there are many challenges in receiving construction-specific information from a BIM, limiting the usability of BIMs for construction and other downstream processes. This paper describes a novel approach that utilizes ontology-based feature modeling, automatic feature extraction based on a well-established AEC XML standard schema, and query processing to extract information relevant to construction practitioners from a given BIM. The feature ontology generically represents construction-specific information that is useful for a broad range of construction management functions. The software prototype uses the ontology to transform the designer-focused BIM into a construction-specific feature-based model (FBM). The formal query methods operate on the FBM to further help construction users to quickly extract the necessary information from a BIM. The tests demonstrate that this approach provides a richer representation of construction-specific information than existing BIM tools. | |
publisher | American Society of Civil Engineers | |
title | Ontology-Based Feature Modeling for Construction Information Extraction from a Building Information Model | |
type | Journal Paper | |
journal volume | 27 | |
journal issue | 5 | |
journal title | Journal of Computing in Civil Engineering | |
identifier doi | 10.1061/(ASCE)CP.1943-5487.0000230 | |
tree | Journal of Computing in Civil Engineering:;2013:;Volume ( 027 ):;issue: 005 | |
contenttype | Fulltext | |