{"title":"一种基于D-S证据理论的事件冲突解决方法","authors":"Xiaojuan Yang, Tao Sun","doi":"10.1109/DCABES.2015.76","DOIUrl":null,"url":null,"abstract":"Usually, there will still be data conflicts left in the event mentions after the events have been co-reference resolution. This paper presents a novel experiments-proven solution to the conflicts of event mentions by first categorize the conflicts of events into named entity conflicts, semantic conflicts and data presentation conflicts and then take advantage of the D-S evidence theory in dealing with uncertain data based on \"evidence\" and \"combination\".","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Solution of Event Conflict Resolution Based on D-S Evidence Theory\",\"authors\":\"Xiaojuan Yang, Tao Sun\",\"doi\":\"10.1109/DCABES.2015.76\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Usually, there will still be data conflicts left in the event mentions after the events have been co-reference resolution. This paper presents a novel experiments-proven solution to the conflicts of event mentions by first categorize the conflicts of events into named entity conflicts, semantic conflicts and data presentation conflicts and then take advantage of the D-S evidence theory in dealing with uncertain data based on \\\"evidence\\\" and \\\"combination\\\".\",\"PeriodicalId\":444588,\"journal\":{\"name\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCABES.2015.76\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES.2015.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Solution of Event Conflict Resolution Based on D-S Evidence Theory
Usually, there will still be data conflicts left in the event mentions after the events have been co-reference resolution. This paper presents a novel experiments-proven solution to the conflicts of event mentions by first categorize the conflicts of events into named entity conflicts, semantic conflicts and data presentation conflicts and then take advantage of the D-S evidence theory in dealing with uncertain data based on "evidence" and "combination".