Semantic link prediction through probabilistic description logics

Kate Revoredo, José Eduardo Ochoa Luna, Fabio Gagliardi Cozman

Research output: Contribution to conferenceConference Paper

4 Scopus citations

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 languageAmerican English
Pages87-97
Number of pages11
StatePublished - 1 Jan 2011
Externally publishedYes
EventCEUR Workshop Proceedings -
Duration: 1 Jan 2016 → …

Conference

ConferenceCEUR Workshop Proceedings
Period1/01/16 → …

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