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Exploiting temporal dimension in tensor-based link pbkp_rediction

Abstract:

In the recent years, there is a significant interest in a link pbkp_rediction - an important task for graph-based data structures. Although there exist many approaches based on the graph theory and factorizations, there is still lack of methods that can work with multiple types of links and temporal information. The creation time of a link is an important aspect: it reflects age and cbkp_redibility of the information. In this paper, we introduce a method that pbkp_redicts missing links in RDF datasets. We model multiple relations of RDF as a tensor that incorporates the creation time of links as a key component too. We evaluate the proposed approach on real world datasets: an RDF representation of the ProgrammableWeb directory and a subset of the DBpedia focused on movies. The results show that the proposed method outperforms other link pbkp_rediction approaches.