Research On Extension Rules Of Similarity Retrieval In Mathematical Expressions

Mathematical expressions not only contain symbols, but also include the plenty operator composed of different meaning. The implementation of the mathematical retrieval in the content of information will be helpful for users to retrieve a more comprehensive result.In this dissertation, we analysis the meaning of mathematical expressions, induce and arrange the same meaning mathematical expressions, structure the expansion of query mapping aim at the characteristics of similarity relation. And then the mathematical expressions retrieval system with the similarity retrieval model will extend the similarity retrieval result. Firstly, different retrieval technique and matching methods are elaborated. Secondly, we discuss the definition of different types in the extended query mapping model of mathematical expressions, and describe the rules of the extended query mapping model in each type. Thirdly, the latter maintenance is described in the terms of the structure of the model. Finally, Compared the retrieved results with the expansion of query mapping matching model and without the equivalence mapping matching model, we can see that mathematical formula equivalent matching method can improve the ability of dealing with the problem of equivalent formula mathematical expression in the retrieval system.