Probability estimation for semantic association on domain ontology
LI Dong-mei · Computer Engineering and Applications Journal · 2011
A probability model based on Bayesian principles is given to measure the semantic association from a concept to its direct-related concept in domain ontology.The model is based on different semantic relationships,and is estimated according to maximum likelihood estimation.Semantic distance is used to estimate semantic relationships in estimating period.Based on the proposed model,a method to measure semantic association of any two concepts in ontology is given.Experiment results of semantic retrieval on open data show that semantic query expansion performs better than classic semantic query expansion.