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|
|Number of pages||11|
|State||Published - 1 Jan 2011|
|Event||CEUR Workshop Proceedings - |
Duration: 1 Jan 2016 → …
|Conference||CEUR Workshop Proceedings|
|Period||1/01/16 → …|