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Erschienen in:
2015 | OriginalPaper | Buchkapitel
CrowdSR: A Crowd Enabled System for Semantic Recovering of Web Tables
verfasst von : Huaxi Liu, Ning Wang, Xiangran Ren
Erschienen in: Web-Age Information Management
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Without knowing any semantic of tables on web, it’s very difficult for web search to take advantage of those high quality sources of relational information.We present CrowdSR, a system that enables semantic recovering of web tables by crowdsourcing. To minimize the number of tuples posed to the crowd, CrowdSR selects a small number of representative tuples by clustering based on novel integrative distance. An evaluation mechanism is also implemented on Answer Credibility in order to recommend related tasks for workers and decide the final answers for each task more accurately.