Learning sentences and assessments in probabilistic description logics

José Eduardo Ochoa Luna, Kate Revoredo, Fabio Gagliardi Cozman

Resultado de la investigación: Contribución a una conferenciaArtículo de conferencia

2 Citas (Scopus)

Resumen

The representation of uncertainty in the semantic web can be eased by the use of learning techniques. To completely induce a probabilistic ontology (that is, an ontology encoded through a probabilistic description logic) from data, two basic tasks must be solved: (1) learning concept definitions and (2) learning probabilistic inclusions. In this paper we propose and test an algorithm that learns concept definitions using an inductive logic programming approach and then learns probabilistic inclusions using relational data.
Idioma originalInglés estadounidense
Páginas85-96
Número de páginas12
EstadoPublicada - 1 dic 2010
Publicado de forma externa
EventoCEUR Workshop Proceedings -
Duración: 1 ene 2016 → …

Conferencia

ConferenciaCEUR Workshop Proceedings
Período1/01/16 → …

Huella Profundice en los temas de investigación de 'Learning sentences and assessments in probabilistic description logics'. En conjunto forman una huella única.

  • Citar esto

    Luna, J. E. O., Revoredo, K., & Cozman, F. G. (2010). Learning sentences and assessments in probabilistic description logics. 85-96. Papel presentado en CEUR Workshop Proceedings, .