Li Sheng

Learn More
The quantitative aspects of model specications are often only partially known. Thus there is a need for ways to analyze models whose quantitative specications are incomplete. One important goal for model analysis is nding the probabilities of the dierent qualitatively distinct behaviors a model can exhibit. We show how a model with partial quantitative(More)
The paper provides a semantic vector retrieval model for desktop documents based on the ontology. Comparing with traditional vector space model, the semantic model using semantic and ontology technology to solve several problems that traditional model could not overcome such as the shortcomings of weight computing based on statistical method, the expression(More)