Abstract
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.
Original language | American English |
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Pages | 87-97 |
Number of pages | 11 |
State | Published - 1 Jan 2011 |
Externally published | Yes |
Event | CEUR Workshop Proceedings - Duration: 1 Jan 2016 → … |
Conference
Conference | CEUR Workshop Proceedings |
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Period | 1/01/16 → … |