Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies
Thomas Lukasiewicz and Jörg Schellhase
Abstract
In previous work, we have introduced variable-strength conditional preferences for ranking objects in ontologies. In this paper, we continue this line of research. We propose a new ranking of objects, which integrates this user-defined preference ranking of objects with Google's importance ranking (called PageRank) based on the link structure between the objects. We also propose to use probabilistic description logics based on Bayesian networks and the description logic DL-Lite to compute the ranking of incompletely specified objects.
Book Title
Proceedings of the 2nd ISWC Workshop on Uncertainty Reasoning for the Semantic Web‚ URSW 2006‚ Athens‚ Georgia‚ USA‚ November 5‚ 2006
Editor
Paulo Cesar G. da Costa and Kathryn B. Laskey and Kenneth J. Laskey and Francis Fung and Michael Pool
Publisher
CEUR−WS.org
Series
CEUR Workshop Proceedings
Volume
218
Year
2006