归并不同证据资源扩展用于信息检索的信念网络是当前一个重要的研究方向。以同义词为证据扩展基本信念网络模型,得到一个扩展的信念网络检索模型。实验证明,扩展模型的检索性能优于基本模型。
Combining distinct sources of evidential knowledge to expand belief network for information retrieval (IR) is a current and important research direction. This paper presents an IR model that extends the basic belief network model with synonym-based evidence. Experimental results indicate that the expanded model has better retrieval performance than the basic belief network model's.