{"title":"Emergency Preplan Knowledge Representation and Semantic Retrieval System Based on Ontology","authors":"Ru-zhi Xu, Xiaoliang Dai, Feng Yang, Peiguang Lin","doi":"10.1109/ICMECG.2009.130","DOIUrl":null,"url":null,"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.","PeriodicalId":252323,"journal":{"name":"2009 International Conference on Management of e-Commerce and e-Government","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Management of e-Commerce and e-Government","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECG.2009.130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
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.