Title :
Ontology-driven tunnel construction information retrieval and extraction
Author :
Hu Min ; Huang Zhewen
Author_Institution :
Sydney Inst. of Language & Commerce, Shanghai Univ., Shanghai, China
fDate :
May 31 2014-June 2 2014
Abstract :
Integration of data from heterogeneous data sources is one of several technical challenges during the tunnel construction. BIM and relational database have maken their efforts for tunnel data organization, but they are not qualified for tunnel problem reasoning. This paper proposes a tunnel data organization method driven by Ontology, which is suitable for data reorganization as well as reasoning. In this mechanism, a tunnel domian ontology center is built by experts for accepting information from BIM and database. Combined with expert knowledge, the ontology is used for problem sloving and analysis. The ontology-driven system has been successfully applied in Shanghai HongMei South Tunnel Project, which improved the tunnel construction quality and helped avoid risks.
Keywords :
construction; data integration; inference mechanisms; information retrieval; ontologies (artificial intelligence); problem solving; quality control; relational databases; structural engineering computing; tunnels; BIM; Shanghai HongMei South Tunnel Project; data integration; data reorganization; heterogeneous data sources; ontology-driven system; ontology-driven tunnel construction information extraction; ontology-driven tunnel construction information retrieval; reasoning; relational database; tunnel construction quality; tunnel data organization method; tunnel domain ontology center; Cognition; Data models; Databases; Monitoring; Ontologies; Organizations; Standards; Building Information Modelling; Database; Ontology; Tunnel;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6853021
