Ontology-based Semantic Retrieval for Risk Management of Construction Project

نویسندگان

  • Shaohua Jiang
  • Jian Zhang
  • Haiyan Zhang
چکیده

Risk management is crucial for successful construction project management. Effective risk assessment can improve construction enterprises’ competitiveness and profitability to a great extent. And the information of previous projects is a very precious resource and reference for construction project risk management. In order to facilitate project participants to query required information of previous projects among numerous project documents efficiently, this paper introduces ontology as the modeling approach for information exchange and puts forward a semantic retrieval method based on this ontology for construction project risk management. At first, this paper introduces the procedure of constructing risk domain ontology by means of seven footwork modeling method, then the methods of construction projects’ document processing and querying sentences’ expansion are presented. Finally, this paper put forward a semantic retrieval system based on construction project risk domain ontology which can correlate the ontology conceptual knowledge and the documents’ content. Experimental results suggest that the proposed ontology-based semantic retrieval method can improve information’s semantic expression ability and realize the intellectualization of construction project risk management.

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عنوان ژورنال:
  • JNW

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013