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COALA – Correlation Aware Active Learning of Link Specifications

COALA – Correlation Aware Active Learning of Link Specifications

This video was recorded at 10th Extended Semantic Web Conference (ESWC), Montpellier 2013. Link Discovery plays a central role in the creation of knowledge bases that abide by the five Linked Data principles. Over the last years, several active learning approaches have been developed and used to facilitate the supervised learning of link specifications. Yet so far, these approaches have not taken the correlation between unlabeled examples into account when requiring labels from their user. In this paper, we address exactly this drawback by presenting the concept of the correlation-aware active learning of link specifications. We then present two generic approaches that implement this concept. The first approach is based on graph clustering and can make use of intra-class correlation. The... Show More
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