A Belief Network Based Retrieval Model with Two Term Layers
The retrieval performance of an information system usually increases when it uses the relationships among the terms in a given document collection. This paper presents an improved co-occurrences frequency method to mine relationship among document index terms, then gives an extended model by adding one term layer in belief network model, shows its topology, probability estimating and information retrieval process. Experiment shows that this model can realize the semantic retrieval to some extent