Title :
Emergency Preplan Knowledge Representation and Semantic Retrieval System Based on Ontology
Author :
Xu, Ruzhi ; Dai, Xiaoliang ; Yang, Feng ; Lin, Peiguang
Author_Institution :
Sch. of Comput. Eng., Shandong Univ. of Finance, Jinan, China
Abstract :
Emergency preplans describe domain knowledge for emergency handling, but most of them are formed in static text or electronic document which is difficult for emergency decision-makers to achieve accurately and quickly. For solving the problems above, we put forward an emergency preplan knowledge representation framework. First, we analyzed emergency preplan textual knowledge and achieved three kinds of knowledge in different levels. Then, an emergency preplan ontology was built and the way to represent emergency preplan knowledge was proposed. Finally, an emergency preplan semantic retrieval system was implemented with the help of ontology reasoning mechanism.
Keywords :
emergency services; inference mechanisms; ontologies (artificial intelligence); semantic networks; emergency preplan knowledge; knowledge representation; ontology reasoning mechanism; semantic retrieval system; Conference management; Disaster management; Electronic government; Financial management; Forward contracts; Knowledge management; Knowledge representation; Logic; Ontologies; Resource description framework; Emergency preplan; Knowledge representation; Semantic retrieval;
Conference_Titel :
Management of e-Commerce and e-Government, 2009. ICMECG '09. International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3778-8
DOI :
10.1109/ICMeCG.2009.130
