Data recovery method and device

A repair method and data technology, applied in the information field, can solve problems such as the limitation of abnormal data error types, the limitation of the scope of data repair, and the limitation of the scope of data repair, so as to achieve the effect of expanding the scope of repair.

Active Publication Date: 2018-12-28
PEKING UNIV +1
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Problems solved by technology

[0005] In the first method, the abnormal data in the relational data table is repaired, so that the scope of data repair is limited to a certain extent
In addition, the first method mines the dependency relationship in the relational data table, and the second method mines the attribute dependency relationship in the RDF graph data, so that the detection of The error types of abnormal data are restricted, further limiting the scope of data repair

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Embodiment Construction

[0040] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0041] In view of the fact that currently when data is repaired, there are few types of abnormal data errors detected and the scope of data repair is limited, an embodiment of the present invention provides a data repair method, see figure 1 , the method flow includes:

[0042] 101: Obtain RDF graph data and neighbor steps according to the data in the RDF knowledge base;

[0043] 102: Determine at least one frequent graph structure according to the RDF graph data and the number of neighbor steps;

[0044] As an optional embodiment, at least one frequent graph structure is determined according to RDF graph data and neighbor steps, including:

[0045] Find the graph schema for the number of neighbor steps corresponding to each subject ...

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Abstract

The invention discloses a data restoration method and apparatus, and belongs to the technical field of information. The method comprises: according to data in a resource description framework (RDF) knowledge base, obtaining RDF graph data and a neighbor step number; according to the RDF graph data and the neighbor step number, determining at least one frequent graph structure; mining a semantic dependency relationship in each frequent graph structure; and according to the semantic dependency relationship, detecting abnormal data in the RFD graph data and restoring the abnormal data. According to the data restoration method and apparatus, the at least one frequent graph structure is determined according to the RDF graph data and the neighbor step number, and the abnormal data in the RDF graph data is detected according to the mined semantic dependency relationship in each frequent graph structure, so that the number of error types of the detected abnormal data is relatively large and the data restoration range is expanded by restoring the detected abnormal data.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method and device for restoring data. Background technique [0002] With the continuous development of information technology, the data in the RDF (Resource Description Framework, resource description framework) knowledge base grows rapidly. Due to data conversion errors, typos, etc., the data in the RDF knowledge base may appear abnormal. Therefore, how to repair the abnormal data in the RDF knowledge base so as to improve the data quality has become a problem that people pay attention to. [0003] There are currently two ways to restore data. The first way: Obtain a relational data table according to the data in the RDF knowledge base, and mine the dependencies in the relational data table; detect abnormal data in the relational data table according to the dependencies, and repair the abnormal data. The second method: obtain the RDF graph data, and cluster the attribu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F1/14G06F17/30
Inventor 邹磊路彦雄刘怀军管刚贺彬彬赵东岩
Owner PEKING UNIV
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