Title :
Research of Ontology and Semantic Web Apply for Building Information Model
Author :
Ding-Yuan Cheng ; Tzu-Chin Chao ; Chi-Chun Lo ; Chi-Hua Chen
Author_Institution :
Dept. of Inf. Manage., Hwa Hsia Inst. of Technol., Taipei, Taiwan
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.
Keywords :
buildings (structures); construction industry; data models; expert systems; inference mechanisms; ontologies (artificial intelligence); semantic Web; structural engineering computing; 3D model code-checking automation; BIM data sources; IFC data model; Industry Foundation Classes; building construction management; building information modeling; communication; error detection; expert system development program language JESS; ontology; semantic Web; semantic reasoning framework; team efficiencies; Buildings; Data models; Ontologies; Semantic Web; Semantics; Software; Solid modeling; Building Information Model; Rule-based Expert System; Semantic Web. Building Ontology;
Conference_Titel :
e-Business Engineering (ICEBE), 2013 IEEE 10th International Conference on
Conference_Location :
Coventry
DOI :
10.1109/ICEBE.2013.55
