{"title":"从社交网络上发布的信息中捕获和生成交通信息的系统","authors":"E. Huzita, T. G. D. Souza, Yan H. Kabuki","doi":"10.1109/SBSC.2012.25","DOIUrl":null,"url":null,"abstract":"The expansion of the Internet and the growing use of social networks, allowed the capture and use of data related to traffic. This article presents an application, based in an intelligent system that explores the cooperativity of Facebook users so that, by data mining, get a navigable map that points out the most recent transit events reported by users. Thus, it is expected to contribute with useful information that helps any user to take decisions about the best path to be performed for his locomotion, avoiding, for example, traffic jams or accidents that are blocking roads they normally use.","PeriodicalId":257965,"journal":{"name":"2012 Brazilian Symposium on Collaborative Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A System to Capture and Generation of Traffic Information from Posted Messages on Social Networks\",\"authors\":\"E. Huzita, T. G. D. Souza, Yan H. Kabuki\",\"doi\":\"10.1109/SBSC.2012.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The expansion of the Internet and the growing use of social networks, allowed the capture and use of data related to traffic. This article presents an application, based in an intelligent system that explores the cooperativity of Facebook users so that, by data mining, get a navigable map that points out the most recent transit events reported by users. Thus, it is expected to contribute with useful information that helps any user to take decisions about the best path to be performed for his locomotion, avoiding, for example, traffic jams or accidents that are blocking roads they normally use.\",\"PeriodicalId\":257965,\"journal\":{\"name\":\"2012 Brazilian Symposium on Collaborative Systems\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Brazilian Symposium on Collaborative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBSC.2012.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Brazilian Symposium on Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBSC.2012.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A System to Capture and Generation of Traffic Information from Posted Messages on Social Networks
The expansion of the Internet and the growing use of social networks, allowed the capture and use of data related to traffic. This article presents an application, based in an intelligent system that explores the cooperativity of Facebook users so that, by data mining, get a navigable map that points out the most recent transit events reported by users. Thus, it is expected to contribute with useful information that helps any user to take decisions about the best path to be performed for his locomotion, avoiding, for example, traffic jams or accidents that are blocking roads they normally use.