本体论
计算机科学
工程类
安全监测
建筑工程
系统工程
知识管理
软件工程
生物
认识论
哲学
生物技术
作者
Yuhang Zhou,Tengfei Bao,Xiaosong Shu,Yueyang Li,Yangtao Li
标识
DOI:10.1016/j.autcon.2022.104649
摘要
Dam Safety Monitoring Systems (DSMSs) are crucial in evaluating the operational state of dams. However, heterogeneous monitoring data distributed from multiple sources during the dam operation lacks a unified data integration method and prohibits knowledge extraction and intelligent analysis, which currently poses a labor-intensive task. To address this issue, a solution relying on Building Information Modeling (BIM) and domain ontologies is proposed. Specifically, a DSMS domain ontology (OntoDSMS) is developed by comprehensively collecting domain knowledge and extracting context information from the dam information model. Furthermore, a rule-based reasoner and SPARQL queries are implemented. The proposed approach facilitates the effective integration of dam safety monitoring information while reducing retrieval time effectively compared with traditional databases. A case is illustrated to demonstrate the feasibility and practicality of the proposed approach. • A framework combining BIM and ontology is proposed. • A mapping between a Relational Database and an ontology is established. • A domain ontology for Dam Safety Monitoring Systems is established and SPARQL queries are implemented. • The proposed approach facilitates the effective integration of dam safety monitoring information.
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