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A two-stage instance-level data integration method based on fuzzy priority

A technology of data integration and prioritization, applied in the field of data integration, can solve the problem that integration efficiency and result accuracy cannot be balanced at the same time, and achieve the effect of improving integration accuracy

Active Publication Date: 2016-03-23
HOHAI UNIV
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Problems solved by technology

[0007] Purpose of the invention: The present invention aims at the deficiency that integration efficiency and result accuracy cannot be balanced at the same time in existing data integration methods, and the present invention provides a two-stage instance-level data integration method based on fuzzy priority

Method used

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  • A two-stage instance-level data integration method based on fuzzy priority
  • A two-stage instance-level data integration method based on fuzzy priority
  • A two-stage instance-level data integration method based on fuzzy priority

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Embodiment Construction

[0054] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0055] Such as figure 1 As shown, the two-stage instance-level data integration method based on fuzzy priority is divided into five steps:

[0056] Step 1, establish a fuzzy priority model. This method uses three priority indicators to describe the distributed storage nodes to which records belong, including three indicators of confidence, availability and error, and uses fuzzy processing for them. For each index, seven qualitative judgment standards are adopted, and then quantified by triangula...

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Abstract

The invention discloses a two-stage instance layer data integration approach based on fuzzy priority and belongs to the technical field of data integration. The two-stage instance layer data integration approach based on the fuzzy priority comprises the following steps: determining priority indicators and the weight of each indicator of distributed storage nodes firstly, wherein records to be integrated belongs to the distributed storage nodes, adopting triangular fuzzy numbers to show the fuzzy priority; distinguishing the intensity conflict of an instance layer according to a voting mechanism when data is integrated; if the intensity conflict is weak, adopting the most consistent attribute value to be used as an integrated result; and if the intensity conflict is strong, calculating each record and the membership degree of a positive ideal solution and determining the attribute value adopted by integration by means of construction of a fusion decision matrix of defuzzification. The two-stage instance layer data integration approach based on the fuzzy priority solves the problems of low integrated efficiency of low precision of the integrated result in massive data integration and the like.

Description

technical field [0001] The invention relates to a two-stage instance-level data integration method based on fuzzy priority. The two-stage data integration method relates to the definition of data storage node fuzzy priority indicators, instance-level conflict judgment and conflict resolution, and belongs to the technical field of data integration. Background technique [0002] With the process of informatization in various fields, the amount of data collection, storage, processing and dissemination is also increasing day by day. Realizing data sharing can enable more industry departments to make full use of existing data resources, reduce duplication of labor and corresponding costs such as data collection and data collection. However, in the process of implementing data sharing, since the data provided by different users may come from different channels, the data content, data format and data quality vary widely, and sometimes even the data format cannot be converted or inf...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 冯钧盛震宇唐志贤李士进朱跃龙万定生徐黎明冯读庆许潇姜康陈焕霖刘子源朱康康史涯晴
Owner HOHAI UNIV
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