Research on Subjective Machine Marking Algorithm Based on Domain Ontology
Lan Fu-j · Computer Technology and Development · 2014
In view of the problems that couldn't reveal the latent semantic relations between the key words in a document,and have a low accuracy in document similarity calculation,combined the structural feature of ontology model,considering the concept similarity from the semantic contact ratio,semantic distance and the ontology structure,a document vector space model based on domain ontology is proposed.The model adjusts the weight of feature words by building concept semantic similarity matrix,constructing the standard answer and the student answer contains semantic relation,and making use of the VSM + cosinealgorithm to assess similarity of the student answer and the standard answer.Compared with the traditional method,experiments show that this method improves the scoring results and accuracy.