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Information search sequencing method based on index association relation

A related relationship and information retrieval technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as errors in retrieval results, and achieve the effect of correctness and anti-interference

Inactive Publication Date: 2011-08-24
中国医学科学院医学信息研究所
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for information retrieval and sorting based on indexing associations, so as to quickly and accurately solve the problems caused by wrong or inaccurate descriptions of search terms by the public (for people who lack professional knowledge or language habits and expressions). error in search results

Method used

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  • Information search sequencing method based on index association relation
  • Information search sequencing method based on index association relation
  • Information search sequencing method based on index association relation

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Experimental program
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Embodiment approach

[0028] Step 1: According to the standard name of the search terms, supplement the words that have the upper and lower positions and the same positions with these basic search terms, use the basic search terms and the supplementary words as the constituent elements of the indexing database, and establish and save the indexing database The association relationship between every two indexes; the association relationship between each two indexes includes the upper-lower and the same-position association; wherein the upper-lower relationship includes the affiliation between the indexes, and the same-position relationship Including synonymous, near-synonymous and similar relations;

[0029] Step 2: Use the search terms related to each document as the index of the document, and use the index set of each document (the set element is the index of the document) to form the document model of the document. The document model is the constituent element of the document library; for example,...

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Abstract

The invention discloses an information search sequencing method based on an index association relation, which belongs to the field of information analysis and aid decision making. The method comprises the following steps of: creating a document database and an index library, and creating the association between the document database and the index library; taking related search terms of each document as the indexes of the document to form a document model of the document; before searching, forming a search model with the set of all the search terms, namely the indexes, provided by users; and calculating the similarity between the search model and the document model of each document in the document database, sequencing the documents in a descending order, and providing the sequenced documents for the users as the final search result. The information search sequencing method based on the index association relation has the benefit that the interference of the errors on the result can be weakened under the circumstance of taking the mistaken indexes as reasoning conditions, by integrating the prior association relation between the indexes, the correct indexes can participate in the reasoning operation according to the wrong index conditions, and consequently, the correctness and the interference immunity of the reasoning can be implemented.

Description

technical field [0001] The invention relates to a sorting method for retrieval results, which belongs to the field of information analysis and auxiliary decision-making. Background technique [0002] In order to obtain more accurate search results when searching for literature, especially when searching for literature in a certain discipline or field, inaccurate search results often occur due to improper use of search terms or deviations in user subjective descriptions. In fact, there are also correlations between the search terms, such as the upper and lower or the same position, etc. According to the correlation between the search terms, the similarity between the search term set proposed by the user and the indexing set of the documents to be searched can be judged , used to obtain whether the document is required by the user, or whether it is related to the user's intention, so as to sort the retrieval results to improve the retrieval accuracy. Contents of the inventio...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 池慧高东平方安洪娜
Owner 中国医学科学院医学信息研究所
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