{"title":"暴民数据来源","authors":"Daniel Deutch, T. Milo","doi":"10.1145/2213836.2213905","DOIUrl":null,"url":null,"abstract":"Crowdsourcing is an emerging paradigm that harnesses a mass of users to perform various types of tasks. We focus in this tutorial on a particular form of crowdsourcing, namely crowd (or mob) datasourcing whose goal is to obtain, aggregate or process data. We overview crowd datasourcing solutions in various contexts, explain the need for a principled solution, describe advances towards achieving such a solution, and highlight remaining gaps.","PeriodicalId":212616,"journal":{"name":"Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Mob data sourcing\",\"authors\":\"Daniel Deutch, T. Milo\",\"doi\":\"10.1145/2213836.2213905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Crowdsourcing is an emerging paradigm that harnesses a mass of users to perform various types of tasks. We focus in this tutorial on a particular form of crowdsourcing, namely crowd (or mob) datasourcing whose goal is to obtain, aggregate or process data. We overview crowd datasourcing solutions in various contexts, explain the need for a principled solution, describe advances towards achieving such a solution, and highlight remaining gaps.\",\"PeriodicalId\":212616,\"journal\":{\"name\":\"Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2213836.2213905\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2213836.2213905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Crowdsourcing is an emerging paradigm that harnesses a mass of users to perform various types of tasks. We focus in this tutorial on a particular form of crowdsourcing, namely crowd (or mob) datasourcing whose goal is to obtain, aggregate or process data. We overview crowd datasourcing solutions in various contexts, explain the need for a principled solution, describe advances towards achieving such a solution, and highlight remaining gaps.