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Entity relation excavating method and device

A technology of entity relationship and mining equipment, applied in the direction of digital data information retrieval, special data processing applications, instruments, etc., can solve the problem of no sequential data processing, no commercial event mining, no proposed sequential data mining and commercial events Mining and other issues

Active Publication Date: 2009-05-06
数据堂(北京)科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this patent does not propose how to further time-series data mining and commercial event mining methods for these instances
[0008] Reference 1 [E Keogh, S Kasetty. "On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration". Data Mining and Knowledge Discovery, 7(4), 2003] summarizes many time series data mining techniques, However, there is no technology for mining commercial events, and there is no technology for processing time-series data in which business relationships are a network structure

Method used

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  • Entity relation excavating method and device
  • Entity relation excavating method and device
  • Entity relation excavating method and device

Examples

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specific example

[0131] *Concrete examples (specific output results of Time Series Company Relationship Extraction Submodule 22, Time Series Company Commercial Importance Extraction Submodule 23, and Commercial Event Detection Submodule 24)

[0132] Hereinafter, a specific example will be given for the specific output results of the time series company relationship extraction sub-module 22 , the time series company business importance extraction sub-module 23 , and the commercial event detection sub-module 24 .

[0133] The following example is for 4 companies A, B, C, and D. The time period is 2007.1.1 to 2007.7.31 (January 1, 2007 to July 31, 2007), and the time unit of company relationship is month.

example 31

[0135] Example 1 Example 2 Example 3 Example 4 Example 5 Example 6 Example 6 A A A A A A A B B B B C C C compete compete compete cooperate mergers and acquisitions compete compete 2007.1.8 2007.1.9 2007.3.2 2007.4.1 2007.5.8 2007.2.7 2007.5.9

[0136] Example 6 Example 7 Example 8 Example 9 Example 10 Example 11 Example 4 Example 5 A B B A A A C A D C C D D D D D holding cooperate cooperate cooperate cooperate cooperate compete compete 2007.6.9 2007.2.4 2007.2.5 2007.5.8 2007.5.9 2007.7.2 2007.6.1 2007.7.8

[0137] The instance strength obtained by the company business relationship instance strength calculation unit 221, where the matching score is 1.0:

[0138] 2.0 1.0 1.0 1.0 1.0 1.0 A A A A A A B B B C C C compete

compete

cooperate

cooperate mergers and acquisitions

com...

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Abstract

The invention relates to a relation searching device and a method thereof to search data of relations and events in time sequence of a number of texts with possibly spoken of relations in the form of news, blogs, industry reports, technical articles, and the like. According to the invention, the relation examples between entities of the number of texts from Internet and other media can be extracted automatically, and the time sequence relation, the degree of association between the entities and importance of the entities in each kind based on the extracted examples can be examined, and the important events can be extracted. Meanwhile, in the invention, to the company entities and commercial relations, the extracted time sequence relation can be calculated so as to acquire analysis of fivecompetitive forces of industries, moreover, the acquired result can be presented to the end users via visualization module.

Description

technical field [0001] The present invention relates to the field of data mining, and more specifically, relates to a relationship mining device and method, which are used for performing time-sequential relationship analysis on texts in various forms such as news, blogs, industry reports, and technical articles, etc. and event data mining. It is particularly advantageous that the present invention can be applied to the field of company business relations, and is used for data mining of time series business relations and business events. Background technique [0002] With the rapid development of the globalization process, companies have formed more intricate business relationships than before. At the same time, a company’s development process is much faster than before, and other companies with business relationships in the development process play a role in its development. critical use. [0003] On the other hand, with the development of informatization, a large number o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F19/00
CPCG06F17/30731G06F16/36
Inventor 许荔秦胡长建福岛俊一
Owner 数据堂(北京)科技股份有限公司
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