Method and system for obtaining information from dataset

A data set and data representation technology, applied in the direction of reasoning methods, electrical digital data processing, special data processing applications, etc., can solve problems such as poor flexibility, difficulty in effectively controlling the scale of reasoning, and deterioration of the control effectiveness of reasoning modules, etc., to achieve Strong adaptability, improved inference efficiency, and easy-to-control inference scale

Inactive Publication Date: 2012-09-26
NEC (CHINA) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] Since this technical solution preprocesses the data through the pre-established node grouping model, this solution has a great dependence on the pre-established node grouping model, which makes the solution less flexible and cannot Suitable for dynamic query requirements
In addition, the solution is to limit the scale of reasoning through node grouping, but it only limits the number of nodes that trigger reasoning. Since there are a large number of intricate relationships between nodes, it is actually difficult to effectively control the scale of reasoning.
In addition, according to the technical solution, a large number of repeated nodes are involved in each inference transaction, which further deteriorates the control effectiveness of the inference module

Method used

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  • Method and system for obtaining information from dataset
  • Method and system for obtaining information from dataset

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Embodiment Construction

[0031] Hereinafter, the method and system for obtaining information from a data set provided by the present invention will be described in detail through embodiments with reference to the accompanying drawings.

[0032] First refer to Figure 2 to Figure 5 To describe the method provided by the present invention. refer to figure 2 ,Should figure 2 A flowchart showing a method for obtaining information from a data set according to one embodiment of the present invention.

[0033] like figure 2 As shown, first in step 201, the graph representing the data set is clustered to obtain multiple sub-graphs. The graph includes nodes representing data and edges representing relationships between the nodes.

[0034] Clustering is an important technique in graph theory, and its goal is to divide the nodes and relationships in the graph into clusters. The general idea of ​​graph clustering is to cluster based on the edge (relationship) structure in the graph, so that the relations...

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Abstract

The invention discloses a method and system for obtaining information from a dataset. The method comprises the following steps of: clustering the picture representing the dataset to obtain multiple sub-pictures, wherein the picture comprises nodes representing data and sides representing the relation among the nodes; and reasoning in at least one of the obtained multiple sub-pictures. According to the method, the clustering of the picture is performed in an unsupervised manner, and any pre-defined model is not required, thereby being very flexible and highly adaptive. Moreover, the number of the nodes in each sub-picture obtained by the clustering and the relation thereof are limited, thus the reasoning scale is easy to control so as to improve the reasoning efficiency according to the implementation mode of the invention.

Description

technical field [0001] The present invention relates to the technical field of intelligent data analysis, and more particularly to methods and systems for obtaining information from data sets. Background technique [0002] With the development of information technology and network technology, various data and information resources are becoming more and more abundant. In order to effectively manage these information, W3C proposed a method for describing these resources, that is, Resource Description Framework (RDF). [0003] According to the definition of RDF, data or resources can be represented by a triple, which includes a subject, a predicate and an object, where the subject and object indicate data or resources, and the predicate indicates the relationship between the subject and the object. For example, for the triples instanceOf(X, author), instanceOf(Y, paper), hasPaper(X, Y) and Topic(Y, D), it means that X is the author, Y is the paper, and the author X is the paper...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N5/04
Inventor 赵彧李建强刘博
Owner NEC (CHINA) CO LTD
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