Semantic link prediction through probabilistic description logics

Kate Revoredo, José Eduardo Ochoa Luna, Fabio Gagliardi Cozman

Resultado de la investigación: Contribución a una conferenciaArtículo de conferencia

4 Citas (Scopus)

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 originalInglés estadounidense
Páginas87-97
Número de páginas11
EstadoPublicada - 1 ene 2011
Publicado de forma externa
EventoCEUR Workshop Proceedings -
Duración: 1 ene 2016 → …

Conferencia

ConferenciaCEUR Workshop Proceedings
Período1/01/16 → …

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  • Citar esto

    Revoredo, K., Ochoa Luna, J. E., & Cozman, F. G. (2011). Semantic link prediction through probabilistic description logics. 87-97. Papel presentado en CEUR Workshop Proceedings, .