Semantic link prediction through probabilistic description logics
Kate Cerqueira Revoredo, José Eduardo Ochoa-Luna, Fábio Gagliardi Cozman · Uncertainty Reasoning for the Semantic Web · 2011
Predicting potential links between nodes in a network is a problem of great practical interest. Link prediction is mostly based on graph-based features and, recently, on approaches that consider the semantics of the domain. However, there is uncertainty in these predictions; by modeling it, one can improve prediction results. In this paper, we propose an algorithm for link prediction that uses a probabilistic ontology described through the probabilistic description logic cRALC. We use an academic domain in order to evaluate this proposal.