Document vector space model construction based on domain ontology
基于领域本体的文档向量空间模型构建

As VSM couldn't reveal the same conceptual semantics hidden in different feature words and the latent semantic relations in the documents and had a low accuracy in document similarity calculation, this paper presented DOBVSM. This model added the conceptions in domain ontology to the feature word set, and then adjusted the weight of feature words using the relation between conceptions, constructed the document DOBVSM contains semantic relations. Experimental analysis show that the documents'similarity computed by DOBVSM was more divergent, closest to the expert evaluation and can perform batter in document similarity.