A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds

Rigorous research and practical experience have allowed building information modeling (BIM) to be successfully adopted in the traditional design process without being severely cumbersome. However, there has been less focus on the connectivity and convergence of multiple types of BIM data or even the...

Full description

Bibliographic Details
Main Author:	Yongwook Jeong
Format:	Article
Language:	English
Published:	Hindawi Limited 2018-01-01
Series:	Advances in Civil Engineering
Online Access:	http://dx.doi.org/10.1155/2018/5478381

id	doaj-de41fc6ed47d4c058a5d9970f1763047
record_format	Article
spelling	doaj-de41fc6ed47d4c058a5d9970f17630472020-11-24T21:45:51ZengHindawi LimitedAdvances in Civil Engineering1687-80861687-80942018-01-01201810.1155/2018/54783815478381A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with CloudsYongwook Jeong0Department of Architecture, College of Engineering, Sejong University, Seoul 05006, Republic of KoreaRigorous research and practical experience have allowed building information modeling (BIM) to be successfully adopted in the traditional design process without being severely cumbersome. However, there has been less focus on the connectivity and convergence of multiple types of BIM data or even the connectivity among non-BIM data, such as natural language and image/video data. The connectivity of BIM data means more than the syntactical correlations among them. This paper considers how BIM should be redefined to process BIM data as linked semantic data from the perspective of building information management and employ recent advances in the evaluation, analytics, and prediction (EAP) methodology for linked building ontologies and reasoners.http://dx.doi.org/10.1155/2018/5478381
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Yongwook Jeong
spellingShingle	Yongwook Jeong A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds Advances in Civil Engineering
author_facet	Yongwook Jeong
author_sort	Yongwook Jeong
title	A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds
title_short	A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds
title_full	A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds
title_fullStr	A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds
title_full_unstemmed	A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds
title_sort	study on the bim evaluation, analytics, and prediction (eap) framework and platform in linked building ontologies and reasoners with clouds
publisher	Hindawi Limited
series	Advances in Civil Engineering
issn	1687-8086 1687-8094
publishDate	2018-01-01
description	Rigorous research and practical experience have allowed building information modeling (BIM) to be successfully adopted in the traditional design process without being severely cumbersome. However, there has been less focus on the connectivity and convergence of multiple types of BIM data or even the connectivity among non-BIM data, such as natural language and image/video data. The connectivity of BIM data means more than the syntactical correlations among them. This paper considers how BIM should be redefined to process BIM data as linked semantic data from the perspective of building information management and employ recent advances in the evaluation, analytics, and prediction (EAP) methodology for linked building ontologies and reasoners.
url	http://dx.doi.org/10.1155/2018/5478381
work_keys_str_mv	AT yongwookjeong astudyonthebimevaluationanalyticsandpredictioneapframeworkandplatforminlinkedbuildingontologiesandreasonerswithclouds AT yongwookjeong studyonthebimevaluationanalyticsandpredictioneapframeworkandplatforminlinkedbuildingontologiesandreasonerswithclouds
_version_	1725903738752729088

A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds

Similar Items