{"title":"基于深度网络的交通咨询系统研究","authors":"Zhuo Wang, Ran Hu, Jun-guo Hu","doi":"10.1109/ICCSN.2009.64","DOIUrl":null,"url":null,"abstract":"This paper presents the architecture of a traffic advisory system based on the Deep Web. It automatically generates the meaning enquiries by the mechanism of Deep Web crawler, according to the query conditions filled in by the user. Then it will automatically find and download the relevant pages. The system more intuitively and easily display the information for users based on the theoretical framework.","PeriodicalId":177679,"journal":{"name":"2009 International Conference on Communication Software and Networks","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research of a Traffic Advisory System Based on Deep Web\",\"authors\":\"Zhuo Wang, Ran Hu, Jun-guo Hu\",\"doi\":\"10.1109/ICCSN.2009.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the architecture of a traffic advisory system based on the Deep Web. It automatically generates the meaning enquiries by the mechanism of Deep Web crawler, according to the query conditions filled in by the user. Then it will automatically find and download the relevant pages. The system more intuitively and easily display the information for users based on the theoretical framework.\",\"PeriodicalId\":177679,\"journal\":{\"name\":\"2009 International Conference on Communication Software and Networks\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Communication Software and Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2009.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Communication Software and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2009.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of a Traffic Advisory System Based on Deep Web
This paper presents the architecture of a traffic advisory system based on the Deep Web. It automatically generates the meaning enquiries by the mechanism of Deep Web crawler, according to the query conditions filled in by the user. Then it will automatically find and download the relevant pages. The system more intuitively and easily display the information for users based on the theoretical framework.
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