Ontological CP-Nets

Ontological CP-Nets

Uncertainty Reasoning for the Semantic Web III - -2014

Authors

Di Noia Tommaso, Lukasiewicz Thomas, Martinez Maria Vanina, Simari Gerardo Ignacio, Tifrea−Marciuska Oana

Abstract

Representing and reasoning about preferences is a key issue in many real-world scenarios in which personalized access to information is required. Many approaches have been proposed and studied in the literature that allow a system to work with qualitative or quantitative preferences; among the qualitative models, one of the most prominent are CP-nets. Their clear graphical structure unifies an easy representation of user preferences with good computational properties when computing the best outcome. In this paper, we show how to reason with CP-nets when the attributes modeling the knowledge domain are structured via an underlying domain ontology. We show how the computation of all undominated feasible outcomes of an ontological CP-net can be reduced to the solution of a constraint satisfaction problem, and study the computational complexity of the basic reasoning problems in ontological CP-nets.

Download: URSWII2014.pdf

DOI

https://doi.org/10.1007/978-3-319-13413-0_15

BibTex references

@InProceedings{DLMST14,
  author       = "Di Noia, Tommaso and Lukasiewicz, Thomas and Martinez, Maria Vanina and Simari , Gerardo Ignacio and Tifrea\−Marciuska, Oana",
  title        = "Ontological CP-Nets",
  booktitle    = "Uncertainty Reasoning for the Semantic Web III",
  series       = "Lecture Notes in Artificial Intelligence",
  year         = "2014",
  publisher    = "Springer",
  url          = "http://sisinflab.poliba.it/Publications/2014/DLMST14"

}