Yingliang Huang, Minmin Sun, Xuemin Mao, Pengfei Yin, Haotong Wei, Xuan Cai
{"title":"社会保障知识推理模型","authors":"Yingliang Huang, Minmin Sun, Xuemin Mao, Pengfei Yin, Haotong Wei, Xuan Cai","doi":"10.12783/DTMSE/AMEME2020/35599","DOIUrl":null,"url":null,"abstract":"A large amount of social event data in the public safety filed has been accumulated. These data contains a lot of hidden information that has not been excavated. In order to make these data mined and fully utilized, this paper uses knowledge reasoning technology to solve this problem. This paper adopts a model SSKR-T based on the transfomer network structure, and conducts experiments on public data sets. The results show that the model has excellent reasoning effects in the field of social safety.","PeriodicalId":11124,"journal":{"name":"DEStech Transactions on Materials Science and Engineering","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Knowledge Reasoning Model for Social Security\",\"authors\":\"Yingliang Huang, Minmin Sun, Xuemin Mao, Pengfei Yin, Haotong Wei, Xuan Cai\",\"doi\":\"10.12783/DTMSE/AMEME2020/35599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A large amount of social event data in the public safety filed has been accumulated. These data contains a lot of hidden information that has not been excavated. In order to make these data mined and fully utilized, this paper uses knowledge reasoning technology to solve this problem. This paper adopts a model SSKR-T based on the transfomer network structure, and conducts experiments on public data sets. The results show that the model has excellent reasoning effects in the field of social safety.\",\"PeriodicalId\":11124,\"journal\":{\"name\":\"DEStech Transactions on Materials Science and Engineering\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"DEStech Transactions on Materials Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12783/DTMSE/AMEME2020/35599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Materials Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/DTMSE/AMEME2020/35599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A large amount of social event data in the public safety filed has been accumulated. These data contains a lot of hidden information that has not been excavated. In order to make these data mined and fully utilized, this paper uses knowledge reasoning technology to solve this problem. This paper adopts a model SSKR-T based on the transfomer network structure, and conducts experiments on public data sets. The results show that the model has excellent reasoning effects in the field of social safety.
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