Collaborative Refinement of Web Data Based on Social Coding

• Helton Douglas A. dos Santos UFPE
• Marcelo Iury S. Oliveira UFRPE
• Bernadette Farias Lóscio UFPE

DOI: https://doi.org/10.5753/sbbd.2019.8807

Abstract

The Web has emerged as an important platform for sharing information, enabling the publishing and consumption of datasets from different domains. In this contexto, dataset refinement is a primary activity mainly related to data cleansing and enrichment. Usually, refinement is performed by publishers, although consumers often clean and enrich datasets in their consumption activities. However, in general, consumer’s effort is lost, since most times the result of the refinement is not shared back with the publisher or other consumers. In this context, this work proposes a refinement strategy based on the principles of social coding to allow the refinement of datasets published on the Web in a collaborative way.

Keywords: Dataset refinement, data cleaning, social coding, collaborative refinement

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