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Relaxation search and optimization sequencing method based on form characteristic

A technology for optimizing sorting and forms, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problem that the relaxation order judgment method cannot be well applied

Inactive Publication Date: 2013-03-13
SUZHOU SOUKE INFORMATION TECH
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Problems solved by technology

[0004] When the method based on attribute relaxation is applied to the field of Deep Web integration, due to the heterogeneity of many data sources, the original relaxation order determination method cannot be well applied

Method used

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  • Relaxation search and optimization sequencing method based on form characteristic
  • Relaxation search and optimization sequencing method based on form characteristic
  • Relaxation search and optimization sequencing method based on form characteristic

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Embodiment Construction

[0053] Aiming at the judging method of the relaxation sequence of attributes in the Deep Web integration field, the invention performs a relaxation search; meanwhile, in the sorting process of the query results, a more efficient sorting method is proposed considering the root cause affecting the similarity between the relaxation results and the query conditions. It is mainly based on the relaxation method of weakening attribute constraints. The most critical issue of this relaxation method is how to determine the sequence of relaxation between attributes. To change the original query condition, it is necessary to find out the attribute that has the weakest influence on the query result among the many attributes of the query. In the traditional database field, Nambiar et al. proposed to obtain a random sample by detecting the database when solving the problem of converting a certain query into an uncertain query, and then use machine learning methods to obtain the functional dep...

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Abstract

The invention relates to a relaxation search and optimization sequencing method based on form characteristic, comprising firstly using a form information collector to obtain a plurality of relative search form information; constructing a triple information relative to each attribute ranking; according to a relative method in fit with a mode, mapping attributes with different attribute names and the same semantic to a same attribute; filtering the attribute appearing in a certain specific data source; using a suggested formula to compute comprehensive ranking of each attribute; reordering according to the comprehensive ranking of all attributes; and filtering the relaxation result information ranking. The ordering and filtering method is improved, only the attribute influencing the similarity is computed in distance value, and the efficiency of processing the relaxation result ranking is improved.

Description

technical field [0001] The invention relates to an optimization method for information retrieval, in particular to a relaxation search and optimization sorting method based on form features. Background technique [0002] With the continuous development of the Internet, it has become more and more common for users to obtain the information they are interested in through the Internet. Among the information contained in the Internet, compared with the static information, the information contained in the Deep Web is more favored by users. Because the information in the Deep Web is generally stored in databases, which are usually continuously maintained and updated by various organizations, it has better real-time performance and a higher degree of structure. At the same time, according to research in 2000, Deep Web information is 500 times that of Surface Web information, and Google estimated in 2007 that Deep Web contains 25,000,000 data sources; therefore, the amount of infor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 张书奎崔志明陈明赵朋朋孙涌
Owner SUZHOU SOUKE INFORMATION TECH
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