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      Identifying And Weighting Integration Hypotheses On Open Data Platforms

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          Abstract

          Open data platforms such as data.gov or opendata.socrata. com provide a huge amount of valuable information. Their free-for-all nature, the lack of publishing standards and the multitude of domains and authors represented on these platforms lead to new integration and standardization problems. At the same time, crowd-based data integration techniques are emerging as new way of dealing with these problems. However, these methods still require input in form of specific questions or tasks that can be passed to the crowd. This paper discusses integration problems on Open Data Platforms, and proposes a method for identifying and ranking integration hypotheses in this context. We will evaluate our findings by conducting a comprehensive evaluation using on one of the largest Open Data platforms.

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          From databases to dataspaces

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            Human-powered sorts and joins

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              Human-assisted graph search

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                Author and article information

                Journal
                11 May 2012
                1205.2465

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                WOD/2012/NANTES/11
                Presented at the First International Workshop On Open Data, WOD-2012 (http://arxiv.org/abs/1204.3726)
                cs.DB

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