Title :
A Gaussian Process Model for Knowledge Propagation in Web Ontologies
Author :
Minervini, Pasquale ; d´Amato, Claudia ; Fanizzi, Nicola ; Esposito, Floriana
Author_Institution :
Dept. of Comput. Sci., Univ. degli Studi di Bari, Aldo Moro, Italy
Abstract :
We consider the problem of predicting missing class-memberships and property values of individual resources in Web ontologies. We first identify which relations tend to link similar individuals by means of a finite-set Gaussian Process regression model, and then efficiently propagate knowledge about individuals across their relations. Our experimental evaluation demonstrates the effectiveness of the proposed method.
Keywords :
Gaussian processes; Internet; ontologies (artificial intelligence); regression analysis; Web ontologies; class-memberships; finite-set Gaussian process regression model; knowledge propagation; property values; Gaussian processes; Kernel; Labeling; Ontologies; Portals; Symmetric matrices; Training; gaussian process; semantic web; semi-supervised; transductive;
Conference_Titel :
Data Mining (ICDM), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4303-6
DOI :
10.1109/ICDM.2014.83
