Resumen
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.
Idioma original | Inglés estadounidense |
---|---|
Páginas | 87-97 |
Número de páginas | 11 |
Estado | Publicada - 1 ene. 2011 |
Publicado de forma externa | Sí |
Evento | CEUR Workshop Proceedings - Duración: 1 ene. 2016 → … |
Conferencia
Conferencia | CEUR Workshop Proceedings |
---|---|
Período | 1/01/16 → … |