{"title":"The Knowledge Description of Emergency Information Semantic Metadata Model and its Application","authors":"Zhang Xiankun, Du Lei, Gao Shan","doi":"10.1109/ISME.2010.152","DOIUrl":null,"url":null,"abstract":"In order to integrate and share emergency information, resolve semantic ambiguities in expressing emergency information, an emergency information semantic metadata model(EISMDM) based on Description Logic was constructed in this paper. Firstly, according to feature of emergency business, an emergency information semantic metadata model was structured using Description Logic; the model is a seven-tuple consisting of seven parts: terms set, terms definitions set, instances set, instances definitions set, relations set, constraints set and notations set. Secondly, the semantic model was analyzed carefully, and corresponding semantic explication was given. Finally, EISMDM was validated by an application. The experimentation indicate that the emergency information could be semantic integrated very well using EISMDM.","PeriodicalId":348878,"journal":{"name":"2010 International Conference of Information Science and Management Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference of Information Science and Management Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISME.2010.152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to integrate and share emergency information, resolve semantic ambiguities in expressing emergency information, an emergency information semantic metadata model(EISMDM) based on Description Logic was constructed in this paper. Firstly, according to feature of emergency business, an emergency information semantic metadata model was structured using Description Logic; the model is a seven-tuple consisting of seven parts: terms set, terms definitions set, instances set, instances definitions set, relations set, constraints set and notations set. Secondly, the semantic model was analyzed carefully, and corresponding semantic explication was given. Finally, EISMDM was validated by an application. The experimentation indicate that the emergency information could be semantic integrated very well using EISMDM.