Multi-layered Bayesian network model for information retrieval
Peng Yang · Computer Engineering and Applications Journal · 2009
To quantify the degree of similarity between synonyms by term similarity accurately.Combining this quantification,the simple Bayesian network for information retrieval is improved,a four-layered Bayesian network retrieval model based on the quantified term relationships is proposed.The topology of the new model,probability estimation of all nodes and the whole inference process are described.Experimental results show that the new model in which term similarity is used to encode term relationships behaves better than others,realizing semantic retrieval to some extent,which is the inevitable tendency of information retrieval.