UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Building Model Object Classification for Semantic Enrichment Using Geometric Features and Pairwise Spatial Relationships

Ma, L; Sacks, R; Uri, K; (2017) Building Model Object Classification for Semantic Enrichment Using Geometric Features and Pairwise Spatial Relationships. In: Proceedings of the Joint Conference on Computing in Construction (JC3) 2017. (pp. pp. 373-380). LC3: Heraklion, Crete - Greece. Green open access

[thumbnail of Ma-2017-Building Model Object Classification f.pdf]
Preview
Text
Ma-2017-Building Model Object Classification f.pdf - Published Version

Download (1MB) | Preview

Abstract

Semantic enrichment is a process of supplementing/correcting information in a poorly prepared BIM model. Object classifications are essential information, but are commonly missing or incorrectly represented when transferring a BIM model or creating a model using tools customized for other domains in design. Automated compilation of 'as-is' BIM models from point cloud data also requires object classification, as well as 3D reconstruction. We present a systematic approach to classifying objects in a BIM model, for use in future semantic enrichment systems. Previous work on object classification in BIM model enrichment was restricted by its limited ability to accurately interpret geometric and spatial features and by the constraints of Boolean logic rules and the rule compilation process. To address these issues, we propose a procedure for establishing a knowledge base that associates objects with their features and relationships, and a matching algorithm based on a similarity measurement between the knowledge base and facts. An implementation on a synthetic bridge model shows that whereas some objects can be classified by shape features alone, most objects require the use of spatial relations for unique classification. Spatial context is more likely uniquely identify an object than shape features are.

Type: Proceedings paper
Title: Building Model Object Classification for Semantic Enrichment Using Geometric Features and Pairwise Spatial Relationships
Event: Joint Conference on Computing in Construction (JC3) 2017
Location: Crete, Greece
Dates: 04 July 2017 - 07 July 2017
Open access status: An open access version is available from UCL Discovery
DOI: 10.24928/JC3-2017/0044
Publisher version: https://doi.org/10.24928/JC3-2017/0044
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Building Information Modelling, Semantic Enrichment, Geometric Feature, Spatial Relation, Object Classification
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett Sch of Const and Proj Mgt
URI: https://discovery.ucl.ac.uk/id/eprint/10076392
Downloads since deposit
72Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item