{"title":"大规模协作Web数据空间系统","authors":"Zhengtao Liu, Yuguang Mao, Jiandong Wan, C. Ye","doi":"10.1109/FITME.2008.47","DOIUrl":null,"url":null,"abstract":"There are many challenges in building a Web data-space. The first is uncertain schema mapping in data integration. The second is uncertain data. The third is how to select effective deep Web database and how many databases will be selected to answer the user query.In this paper, we develop a Web dataspace system with the help of mass collaboration. Firstly, we propose a Web dataspace system architecture, which is inspired by the concept of data spaces and emphasizes soliciting mass collaboration. Secondly, we discuss the challenges to this approach and propose solutions. Users feedback in our system is divided two types: explicit user feedback and implicit user feedback. We also discuss the questions that will be asked to the users and the user types in our system. In the end, we give the conclusions.","PeriodicalId":218182,"journal":{"name":"2008 International Seminar on Future Information Technology and Management Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Mass Collaboration Web Dataspace System\",\"authors\":\"Zhengtao Liu, Yuguang Mao, Jiandong Wan, C. Ye\",\"doi\":\"10.1109/FITME.2008.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are many challenges in building a Web data-space. The first is uncertain schema mapping in data integration. The second is uncertain data. The third is how to select effective deep Web database and how many databases will be selected to answer the user query.In this paper, we develop a Web dataspace system with the help of mass collaboration. Firstly, we propose a Web dataspace system architecture, which is inspired by the concept of data spaces and emphasizes soliciting mass collaboration. Secondly, we discuss the challenges to this approach and propose solutions. Users feedback in our system is divided two types: explicit user feedback and implicit user feedback. We also discuss the questions that will be asked to the users and the user types in our system. In the end, we give the conclusions.\",\"PeriodicalId\":218182,\"journal\":{\"name\":\"2008 International Seminar on Future Information Technology and Management Engineering\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Seminar on Future Information Technology and Management Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FITME.2008.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Seminar on Future Information Technology and Management Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FITME.2008.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
There are many challenges in building a Web data-space. The first is uncertain schema mapping in data integration. The second is uncertain data. The third is how to select effective deep Web database and how many databases will be selected to answer the user query.In this paper, we develop a Web dataspace system with the help of mass collaboration. Firstly, we propose a Web dataspace system architecture, which is inspired by the concept of data spaces and emphasizes soliciting mass collaboration. Secondly, we discuss the challenges to this approach and propose solutions. Users feedback in our system is divided two types: explicit user feedback and implicit user feedback. We also discuss the questions that will be asked to the users and the user types in our system. In the end, we give the conclusions.