Differentiation information fusion-based semantic information retrieval model research

Author(s): Jianhao Xu

For a complicated semantic information retrieval, improve its information retrieval system user experience extent can improve its query optimization algorithm, by utilizing literature searching and other methods, it finds that present semantic detection mainly is in the ontic query technique and semantic annotation, such can only carry out surface semantic correlation simple searching but cannot go deeper into it, on this basis, the paper designs differentiation information fusion semantic analysis detection model, constructs model by three aspects, and applies the model in concrete examples, and gets the modal rationality and effectiveness, finally targeted at the model, it puts forward that the model is to be further improved, outlooks the model applications in more fields.

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