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- W2380334229 abstract "To deal with the problem of semantic missing during keyword retrieval.The retrieval approach was proposed on a relevance-based keyword semantic information: Firstly,an improved word-concept relevance method which measures the relevance between word and concept by considering both the internal and external correlations,was proposed;Next,by importing the improved word-concept relevance method into the classical statistical language model,a new statistical language model which is based on NKTCM method,was proposed.Then,the semantic-based keyword information retrieval model(KIRBS) was formed,which realized four functions: the semantic processing,information processing,information organization,storage and results-sorting.The experimental results prove that our approach presented in this paper has an high recall and precision and good efficiency as well." @default.
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- W2380334229 date "2012-01-01" @default.
- W2380334229 modified "2023-09-26" @default.
- W2380334229 title "Keyword Semantic Information Retrieval Approach Based on Relevance Between Term and Concept" @default.
- W2380334229 hasPublicationYear "2012" @default.
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