Title
Research of Ontology and Semantic Web Apply for Building Information Model
Abstract
Building Information Modeling (BIM) and Industry Foundation Classes (IFC) data model are used widely in construction to increase communication and team efficiencies while working toward a building construction management. This research presents a semantic reasoning framework using expert system development program language JESS for reasoning under specific ontology. This paper describes the structure of the proposed framework and its advantages in integrating BIM data sources. This allows the machine to understand the meaning of schema and detect error of those 3D models. This paper explores the idea of evacuation and 3D model code-checking automation.
Year
DOI
Venue
2013
10.1109/ICEBE.2013.55
ICEBE
Keywords
Field
DocType
semantic web apply,semantic reasoning framework,bim data source,proposed framework,industry foundation classes,expert system development program,specific ontology,building information modeling,language jess,data model,building construction management,expert systems,semantic web,data models,construction industry
Data mining,Ontology,Data modeling,Industry Foundation Classes,Computer science,Expert system,Semantic Web,Knowledge management,Building information modeling,Data model,Construction management
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Ding-Yuan Cheng1434.73
Tzu-Chin Chao200.68
Chi-Chun Lo359354.99
Chi-Hua Chen46618.92