@inproceedings{c943bbfd2fc44ca88dac2b20f46e911d,
title = "Truth discovery based on crowdsourcing",
abstract = "Truth discovery is an important component of data cleaning and information integration. However, in the absence of knowledge, some truth could not be found from databases themselves. A possible solution is to involve crowds to find all the truth with the knowledge of crowds. In this paper, we propose a truth discovery framework based on active learning model with crowdsourcing. First, we give the basic voting algorithm BVote. Then we present the simple crowding-based truth discovery framework STDA based on BVote. Experimental results show that the STDA framework for truth discovery has improved significantly in accuracy with minimal efforts of workers.",
keywords = "active learning, crowdsourcing, truth discovery",
author = "Chen Ye and Hongzhi Wang and Hong Gao and Jianzhong Li and Hui Xie",
year = "2014",
doi = "10.1007/978-3-319-08010-9\_48",
language = "英语",
isbn = "9783319080093",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "453--458",
booktitle = "Web-Age Information Management - 15th International Conference, WAIM 2014, Proceedings",
address = "德国",
note = "15th International Conference on Web-Age Information Management, WAIM 2014 ; Conference date: 16-06-2014 Through 18-06-2014",
}