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Time-aware link pbkp_rediction in RDF graphs

Abstract:

When a link is not explicitly present in an RDF dataset, it does not mean that the link could not exist in reality. Link pbkp_rediction methods try to overcome this problem by finding new links in the dataset with support of a background knowledge about the already existing links in the dataset. In dynamic environments that change often and evolve over time, link pbkp_rediction methods should also take into account the temporal aspects of data. In this paper, we present a novel time-aware link pbkp_rediction method. We model RDF data as a tensor and take into account the time when RDF data was created. We use an ageing function to model a retention of the information over the time; lower the significance of the older information and promote more recent. Our evaluation shows that the proposed method improves quality of pbkp_redictions when compared with methods that do not consider the time information.