KR20160139897A - Method and system for providing evaluation service of enterprise value by automated network deduction - Google Patents

Abstract

The present invention relates to an enterprise value measurement service method through automatic network deduction and a system thereof and, more specifically, to an enterprise value measurement service method through automatic network deduction and a system thereof which analyze real-time monitored big data to reflect influence considering relations between enterprises in case of issue occurrence so as to evaluate value of an enterprise.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and system for measuring an enterprise value by automatic inference of a network,

The present invention relates to a method and system for measuring enterprise value through network automatic inference, and more particularly, to a method and system for measuring corporate value, And more particularly, to a method and system for measuring enterprise value through automatic inference.

Generally, the enterprise value calculation evaluates the intangible assets of an enterprise by analyzing the technical value and market value of the enterprise, and it is performed throughout the enterprise to a relatively stable middle / large enterprise as well as a high risk enterprise such as an online venture enterprise.

On the other hand, traditional corporate valuation does not objectively evaluate corporate value because subjective judgment is involved in the process performed offline by some specific analysts.

Accordingly, in Korean Patent Publication No. 2002-0075988, when a corporation which desires to receive enterprise valuation inputs basic data on a computer, a computer provides a method of processing, analyzing and evaluating a rating value of enterprise value data on the basis of a program do.

Also, in Korean Patent Publication No. 2000-0054056, a valuation technique corresponding to each stage of the business establishment and growth period is used so that the enterprise value can be evaluated more efficiently, thereby fully reflecting the company's growth potential with a large deviation.

However, such an enterprise valuation method has the inconvenience of inputting a large amount of basic information necessary for the valuation directly from the enterprise. Of course, objectivity and reliability are deteriorated because the enterprise is evaluated according to information unilaterally provided.

Korean Patent Publication No. 2002-0075988 " Method of evaluating enterprise value using a network " Korean Patent Publication No. 2000-0054056 entitled "

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide an enterprise value measurement service method by network automatic inference which evaluates the value of a corporation by analyzing big data, And systems.

To this end, the method for measuring enterprise value through network automatic reasoning according to the present invention generates a plurality of keywords each defining various issues affecting valuation of a company, and a library for recording attribute information of various companies, respectively A library building step; A matrix derivation step of constructing an inter-firm network by reflecting the association between the evaluation object company and the other company with reference to the enterprise attribute information of the library; An issue detection step of generating a query language by referring to an issue recorded in the library, real-time monitoring of big data collected through a network using the generated query, and tracking the occurrence of an issue related to the company; A value evaluation step of estimating the value of the evaluation target company by deducing the value of the evaluation target company according to the position on the inter-firm network and the value according to the generated issue; And an evaluation result providing step of providing the information requester with the value of the evaluation target enterprise evaluated in the value evaluation step.

Meanwhile, the enterprise value measurement service system using the network automatic inference according to the present invention can generate and manage a plurality of keywords that respectively define various issues affecting the valuation of a company, and a library that records attribute information of various companies, respectively A library management module; An enterprise network inference module for deriving a matrix reflecting an inter-firm network by reflecting association between an evaluation object enterprise and another enterprise with reference to enterprise attribute information of the library management module; A large data collection module for collecting large-scale data generated on-line; An issue detection module for generating a query language by referring to the issue of the library management module, real-time monitoring of the big data collected by the big data collection module with the generated query, and tracking the occurrence of an issue related to the enterprise; An enterprise value evaluation module for estimating a value of the evaluation target enterprise by deducing the value of the evaluation target enterprise according to the location on the inter-firm network and the value according to the generated issue; And a user interface module for visualizing the value of the evaluated company evaluated by the enterprise value evaluation module on a display screen and providing the value.

The library management module includes an issue library in which keywords for issues affecting the enterprise value evaluation are recorded; An individual attribute library in which individual attributes of the evaluation target enterprise are recorded; And an enterprise property library that records attributes of all enterprises associated with the evaluation target enterprise.

Also, the enterprise network reasoning module may include an enterprise unit matrix generation unit for deriving a matrix of the individual entity to be evaluated with reference to the individual property library; And an entire matrix generator for referring to the enterprise property library and linking the matrix of the other company to the matrix of the company to be evaluated and providing the matrices of the other companies to the enterprise value evaluation module.

In addition, the issue detection module may include a query language generation unit for generating a query language for monitoring the big data in real time by referring to the issue library; And an enterprise issue detection unit for extracting issues related to the business of the big data monitored in real time by referring to the enterprise property library and providing the extracted issues to the enterprise value evaluation module.

Also, the enterprise value evaluation module may include a network reasoning unit for inferring the value of the evaluation target company by the inter-firm network provided in the enterprise network reasoning module; An issue influence reasoning unit for inferring a value according to the generated issue provided by the issue detection module; And an enterprise value measuring unit for evaluating the value of the evaluation target company by combining the inference results of the network reasoning unit and the issue influence reasoning unit.

The present invention as described above analyzes the big data that is monitored in real time and judges occurrence of an issue and also evaluates the value of the corporation by reflecting various influences of the generated issue on the relationship between the evaluated company and other companies.

Therefore, the enterprise automatically evaluates the social big data without inputting a huge amount of evaluation basic information, and makes it possible to evaluate objectively and reliably by reflecting the generated issues and inter-firm networks.

FIG. 1 is a configuration diagram of a corporate value measurement service system through network automatic inference according to the present invention.
FIG. 2 is a conceptual diagram showing individual matrices of a specific company inferred by the present invention.
FIG. 3 is a conceptual diagram showing a whole matrix in which a specific company and another company inferred by the present invention are connected.
4 is a flowchart illustrating a method of measuring enterprise value through network automatic inference according to the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings.

1, an enterprise value measurement service system 100 using network automatic reasoning according to the present invention includes a library management module 110, a corporate network reasoning module 120, a big data collection module 130, An enterprise value evaluating module 140, an enterprise value evaluating module 150 and a user interface module 160.

An enterprise value evaluation (i.e., measurement) service is provided to the service requester through the system 100 of the present invention, and the occurrence of an issue is determined by analyzing the big data that is monitored in real time. Furthermore, the value of the enterprise is evaluated by reflecting the influence of the issue on the relationship between the evaluated company and other companies.

Therefore, it is possible to evaluate the company automatically by using Social Big Data without inputting a huge amount of evaluation basic information on the enterprise side, and it is possible to evaluate objectively and reliably by reflecting corporate-related issues and inter-company network do.

To this end, the library management module 110 generates and manages (adds or modifies, respectively) a library in which keywords defining various issues affecting the valuation of the corporation and attribute information of various companies are respectively recorded Etc.).

Here, 'issues' are expressed as keywords of affirmative or negative tendencies that affect corporations, and they include facts such as incidents, accidents, etc., occurring in specific companies themselves or various legal acts.

In addition, the 'attribution information of the enterprise' represents the information related to the enterprise, and includes the name, the name of the representative or the director, the subsidiary company, and the stock price for each individual company. It also includes the ability to infer business-to-business (B2B) relationships such as investment, listing, lending, support, and merger.

1, the library management module 110 includes an issue library 111, an individual attribute library 112, and a corporate attribute library 113. The library management module 110 generates And management.

At this time, the issue library 111 records keywords related to issues affecting the enterprise value evaluation, the individual property library 112 records individual attributes of the evaluation object company, Record the attributes for all companies associated with.

However, since the individual attribute library 112 and the enterprise attribute library 113 described above are all related to the attributes of a company and are only for the individual company or for the entire company, they are integrated into one library It is obvious that the attribute of each company can be recorded in one integrated library.

Next, the enterprise network reasoning module 120 derives a matrix composed of inter-firm networks constructed by reflecting the association between the evaluation object enterprise and the other companies, by referring to the enterprise attribute information of the library management module 110 described above.

The matrix represents a kind of network, which is typically divided into individual matrices for an individual company to be evaluated and an entire matrix in which individual matrices are extended by linking the network of the above-described company to be evaluated and other companies.

More specifically, the enterprise network reasoning module 120 includes an enterprise unit matrix generation unit 121 for inferring and generating individual matrices, and an overall matrix generation unit 122 for inferring the entire matrix.

As shown in FIG. 2, the enterprise unit matrix generation unit 121 generates individual matrices based on the enterprise to be evaluated. These individual matrices are networked with related entities, including banks, angels (investors), venture capital, KOSDAQ, and third markets, as well as those companies and other companies.

For example, if the generated issue is a merger, [Enterprise A, Enterprise E, and M & A] is recorded in the individual attribute library 112 of the library management module 110, and the enterprise unit matrix generation unit 121 performs such merger and other Derive a matrix of independent firms according to the issues related to all companies.

As shown in FIG. 3, the entire matrix generation unit 122 expands the matrix by inferring the above-mentioned individual matrices as a second order, thereby connecting the value-valued company to other companies, So that they can be considered in the relationship.

That is, the overall matrix generation unit 122 refers to the enterprise property library 113 to connect the matrices of the other companies to the single matrix of the evaluation target company and provides them to the enterprise value evaluation module 150, ), Which reflects the relationship with all listed companies.

For example, if we analyze the relationship between company A and company E and the relationship between company B and company E, we can estimate that the relationship between company A and company B is finally through the medium of company E, To generate an entire inter-firm matrix.

More specifically, in FIG. 3, when a company A and a company B have a relationship through the company E, if the company B experiences a financial crisis (that is, an issue or a keyword) It is reflected in the valuation of company A.

Next, the big data collection module 130 collects large-scale data generated on-line, and automatically collects posts and comments on-line, such as mass media, SNS, community, blog, .

Since the present invention evaluates the enterprise value by using the big data collection module 130, the evaluation is performed automatically without inputting the basic data directly by the enterprise, and the enterprise does not rely on the data that is provided only unilaterally Objective evaluation is done.

Next, the issue detection module 140 generates a query word by referring to the issue of the library management module 110, and monitors the big data collected by the big data collection module 130 in real time (that is, ) To track the occurrence of issues related to the company.

Therefore, the present invention enables corporate evaluation by taking into account issues generated in real time in addition to the entire matrix generated by reflecting the above-described inter-firm network, and particularly provides an accurate prediction effect by reflecting the generated issues in the entire matrix.

For this, the issue detection module 140 includes a query language generation unit 141 for generating a query language for monitoring the big data in real time by referring to the issue library 111. [ The query term provided by the query language generation unit 141 corresponds to an issue that affects a company.

In addition, the issue detection module 140 includes an enterprise issue detection unit 142 for extracting issues related to a company among the big data that are monitored in real time by referring to the enterprise property library 113. The issue extracted by the enterprise issue detection unit 142 is provided to the enterprise value evaluation module 150 to be described later.

Next, the enterprise value evaluation module 150 deduces the value of the evaluated company according to the position of the evaluated company (i.e., the position of the evaluated company in the entire matrix) on the inter-firm network and the value according to the generated issue, To evaluate the value of the target company.

In other words, the enterprise value evaluation module 150 measures the present value of the enterprise in consideration of the relationship and the state of the current enterprise, and by deducing the influence such as the diffusion performance of the issue itself, Matrix) inference and makes comprehensive judgment possible.

The enterprise value evaluating unit 153 includes a network reasoning unit 151, an issue influence reasoning unit 152 and a enterprise value measuring unit 153. The enterprise value measuring unit 153 includes a network reasoning unit 151, And the reasoning result of the issue influence reasoning unit 152 are used.

The network reasoning unit 151 deduces the value of the company to be evaluated by the inter-firm network provided by the enterprise network reasoning module 120. The issue influence reasoning unit 152 estimates the value of the enterprise provided by the issue detection module 140, Inferring the value according to.

Therefore, the enterprise value measuring unit 153 evaluates the value of the evaluation target company in consideration of both the issue and the inter-firm network generated by combining the speculation results of the network reasoning unit 151 and the issue influence reasoning unit 152 .

Next, the user interface module 160 visualizes and provides the value of the evaluation target enterprise evaluated by the enterprise value evaluation module 150 on a display screen. For example, the user interface module 160 provides a value evaluation result through various graphic charts , And other manager interfaces.

The user interface module 160 typically provides evaluation results through a display device such as a computer monitor, thereby allowing the user to easily recognize and determine the current situation.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a method of measuring enterprise value through network automatic inference according to the present invention will be described with reference to the accompanying drawings.

As shown in FIG. 4, the method for measuring enterprise value through network automatic inference according to the present invention includes a library building step S110, a matrix derivation step S120, an issue detection step S130, a valuation step S140, (S150).

At this time, in the library building step (S110), a plurality of keywords each defining various issues affecting the valuation of the corporation and a library recording property information of various companies are respectively created.

The issue library 111, the individual attribute library 112 and the enterprise attribute library 113 are generated by the library management module 110 and these are managed by the library management module 110.

Next, in the matrix derivation step (S120), the inter-company network is constructed by reflecting the association between the evaluation target company and the other company with reference to the enterprise attribute information of the library.

The inter-firm network includes individual matrices and the entire matrix as described above. The enterprise network reasoning module 120 includes an enterprise unit matrix generation unit 121 for inferring and generating individual matrices, and an overall matrix And manages the generation unit 122.

Next, in the issue detection step (S130), a query term is generated by referring to the issue recorded in the library, and the big data collected through the network is monitored in real time using the generated query term to track the occurrence of an issue related to the corporation.

That is, the query term generation unit 141 of the issue detection module 140 automatically generates a query term for monitoring the big data in real time (S131) by referring to the issue library 111, And monitors the collected big data in real time (S132) with reference to the attribute library 113. [

In addition, if it is determined in step S133 that an issue related to the company has occurred as a result of the monitoring, the corresponding issue is detected in step S134 so that the detected issue can be reflected in the company evaluation.

Next, in the valuation step (S140), the value of the evaluated company is estimated by deducing the value of the evaluated company and the value according to the generated issue according to the position on the inter-firm network.

In the present invention, the valuation of the corporation is performed by reflecting both the generated issue and the relationship between the other companies. To this end, the enterprise value measuring unit 153 measures the value of the network effecting unit 151 and the issue affecting reasoning unit 152 Use the inference results.

Next, in the evaluation result providing step (S150), the value of the evaluation target enterprise evaluated in the value evaluation step (S140) is provided to the information requester as described above. The evaluation results are preferably provided in various chart formats, and various settings are possible in the administrator mode.

The specific embodiments of the present invention have been described above. It is to be understood, however, that the scope and spirit of the present invention is not limited to these specific embodiments, and that various modifications and changes may be made without departing from the spirit of the present invention. If you have, you will understand.

Therefore, it should be understood that the above-described embodiments are provided so that those skilled in the art can fully understand the scope of the present invention. Therefore, it should be understood that the embodiments are to be considered in all respects as illustrative and not restrictive, The invention is only defined by the scope of the claims.

110: library management module
111: Issue Library
112: Individual Property Library
113: Corporate Property Library
120: Corporate Network Inference Module
121: Enterprise Unit Matrix Generation Unit
122: entire matrix generation unit
130: Big Data Acquisition Module
140: Issue detection module
141:
142: Enterprise Issue Detection Unit
150: Corporate Valuation Module
151: Network Reasoning Unit
152: issue influence inference part
153: Corporate value measurement department
160: User interface module

Claims (6)

(S110) for creating a plurality of keywords each defining various issues affecting the valuation of the corporation, and a library for recording attribute information of various companies, respectively;
A matrix deriving step (S120) of constructing an inter-firm network by reflecting the association between the evaluation object company and the other company with reference to the enterprise attribute information of the library;
An issue detection step (S130) of generating a query language by referring to an issue recorded in the library, real-time monitoring of big data collected through a network using the generated query, and tracking the occurrence of an issue related to the company;
A value evaluation step (S140) of estimating the value of the evaluation target company by deducing the value of the evaluation target company according to the position on the inter-firm network and the value according to the generated issue; And
And an evaluation result providing step (S150) of providing the information requester with the value of the evaluation target enterprise evaluated in the value evaluation step (S140). A library management module 110 for generating and managing a plurality of keywords each defining various issues affecting the valuation of the company and a library for recording attribute information of various companies, respectively;
An enterprise network reasoning module 120 for deriving a matrix reflecting the inter-firm network by reflecting the association between the evaluation object company and the other company with reference to the enterprise attribute information of the library management module 110;
A big data collection module 130 for collecting large-scale data generated on-line;
An issue of generating a query word by referring to the issue of the library management module 110 and real-time monitoring of big data collected by the big data collection module 130 with the generated query term to track the occurrence of an issue related to the enterprise A detection module 140;
An enterprise value evaluation module 150 for estimating a value of the evaluation target company by deducing the value of the evaluation target enterprise according to the position on the inter-firm network and the value according to the generated issue; And
And a user interface module (160) for visualizing the value of the evaluation target company evaluated by the enterprise value evaluation module (150) on a display screen and providing the visualization result to the enterprise value measurement service system. 3. The method of claim 2,
The library management module (110)
An issue library 111 in which keywords for issues affecting the enterprise value evaluation are recorded;
An individual property library (112) in which individual attributes of the evaluation object enterprise are recorded; And
And a corporate attribute library (113) in which attributes of all companies associated with the evaluation target company are recorded. The method of claim 3,
The enterprise network reasoning module 120,
An enterprise unit matrix generation unit (121) for deriving a matrix of the single entity to be evaluated with reference to the individual property library (112); And
And an overall matrix generation unit 122 for referring to the enterprise attribute library 113 and connecting the matrices of other companies to the matrix of the evaluation target company and providing the matrix to the enterprise value evaluation module 150 Service Value Measurement System using Network Automatic Reasoning. The method of claim 3,
The issue detection module 140,
A query language generation unit 141 for generating a query language for monitoring the big data in real time by referring to the issue library 111; And
And an enterprise issue detecting unit 142 for extracting issues related to the business of the big data monitored in real time by referring to the enterprise property library 113 and providing the extracted issues to the enterprise value evaluation module 150 Enterprise Value Measurement Service System by Network Automatic Reasoning. 3. The method of claim 2,
The enterprise value evaluation module 150,
A network reasoning unit 151 for inferring the value of the evaluation target enterprise by the inter-firm network provided by the enterprise network reasoning module 120;
An issue influence inferring unit 152 for inferring a value according to the generated issue provided by the issue detection module 140; And
And an enterprise value measuring unit (153) for evaluating the value of the evaluation target company by combining the inference results of the network reasoning unit (151) and the issue influence reasoning unit (152) Service value measurement system through enterprise value.

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