Context-Dependent Quality-Aware Source Selection for Live Queries on Linked Data

Barbara Catania, Giovanna Guerrini, Beyza Yaman · CINECA IRIS Institutial Research Information System (University of Genoa) · 2016

Source selection deserves attention for live query processing over distributed, poorly controlled data sources since it is the key to produce the best available information, in terms of relevance, trustness, and freshness, as query result. In this paper, we present an approach taking into account contextdependent data quality, according to different dimensions, during source selection, with the aim of selecting not only the most relevant but also the highest quality sources.

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