DocumentCode
2136407
Title
Ontology-Based Model of Mobile Knowledge Service for the Inspection of Construction Project
Author
Liao, Kaiji ; Liu, Qihui ; Zhao, Xinglu
Author_Institution
Sch. of Bus. Adm., South China Univ. of Technol., Guangzhou, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
5
Abstract
Applying mobile knowledge service into construction project inspections meets the inspection workers´ knowledge demands of mobility and personality, enhances the efficiency of inspection works, and reinforces the pragmatic value of knowledge management in construction project business. User and task contexts are been paid more attentions in order to provide personalized knowledge service in mobile knowledge service. The hierarchy architecture of context ontology can be built simply and availably by ontology theories which study conceptual entities and connections among them in certain areas. The context ontology model of knowledge service in construction inspection describes the relationships between users and tasks, and the registration model of knowledge service is presented according to mobility and personality of project inspections. The OWL is used to delineate models of context ontology and knowledge service registration, which not only simplify the context expression, but also increase the validation and extensibility of knowledge registration services, and more sensibly reflect the adaptability and feasibility of ontology.
Keywords
construction industry; inspection; knowledge management; ontologies (artificial intelligence); project management; architecture construction; construction project business; construction project inspection; context ontology-based model; knowledge management; mobile knowledge service registration; project inspections; Artificial intelligence; Construction industry; Context modeling; Context-aware services; Inspection; Knowledge management; OWL; Ontologies; Pervasive computing; Project management;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5303384
Filename
5303384
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