KR102508562B1 - Job automatic matching services including job capability prediction and computing devices thereof - Google Patents

Abstract

The present invention is a technology that enhances the user's cognitive ability for selection by enabling the present and future interpretation of the specific content of a competency unit in a computing system that provides an automatic job matching service. The present invention can be effectively applied to competency-based subcontract transactions, facility equipment transactions, recruitment/job search, idea brokerage, or on-site invention discrimination.
The present invention for this purpose is a job classification unit unit for presenting a plurality of classification units; an input window unit presenting an input window so that job skills can be registered in at least one of the classification units as a competency unit; and a matching unit that selects and outputs matched objects by reflecting information posted by active users and posted information by passive users based on the registered job skills, and the capability unit is an index obtained by leveling or scoring the level for each capability. Register, but the leveling or scoring includes a configuration that can be registered as a substitute for the course or evaluation result corresponding to the leveling or scoring, Disclosed as an embodiment is a computing device further comprising an associated component.
In another aspect, the present invention provides a computing device for transaction mediation, comprising: a classification unit unit presenting a plurality of classification units; an input window unit presenting an input window so that job skills can be registered as a competency unit in at least one of the classification units; and a matching unit that selects and outputs matched objects by reflecting posted information of active users or posted information of passive users based on the registered job skills, wherein the capability unit is an index obtained by leveling or scoring the level for each capability. In addition, the field term cloud is learned while the keyword included in the posting information of the user is linked to at least one field term cloud, and the field term cloud including the keyword is mapped to the classification unit or capability unit. A computing device, etc., characterized in that it further includes, is disclosed as an embodiment.
If the present invention is used, at any time, no matter what anyone expresses, it is immediately accepted and updated, so that the automatic job matching platform is always used with the latest classification system and the latest field terminology, and is a future-oriented ability indicator for those who have not yet mastered the competency unit. has the effect of providing

Description

Job automatic matching services including job capability prediction and computing devices using the same

The present invention predicts the ability of a person to be matched in a computing system that provides automatic job matching service, and quickly learns and updates the job classification, which is the basis of matching, according to the current situation, so that the past job classification system and the current market situation and future human competency predictions are comprehensively considered and matched. The present invention can be effectively applied to competency-based subcontract transactions, facility equipment transactions, recruitment/job search, idea brokerage, or on-site invention discrimination.

When searching for a subcontractor in the case of construction work, purchase of goods (manufacture of goods), service, etc., judgment on the other party's ability to perform duties should be prioritized rather than bargaining over price. This is to avoid the risk of failure.

The Korea Standard Industrial Classification (KSIC) and the National Competency Standards (NCS) are data that have been accumulated from the past as influential standardized databases that can be utilized at this time.

For example, the NCS is a system in which the state specifies and objectifies as a standard what performance capabilities each job content includes, covering all industries on a 5-year cycle. NCS sequentially classifies all job categories into upper and lower categories as major categories (24 items), middle categories (77 items), and small categories (227 items), and then subdivides them into 887 three categories. 887 ≒ 8,870 elements), capability unit elements (887 ≒ 44,350 elements), and performance standards (887 ≒ 221,750) are subdivided into sub-hierarchical structures to be embodied. Therefore, if you look up to the competency unit, you will be able to know exactly what the job competency of the other company or person is.

When KSIC is combined with this NCS, it is possible to know from the NCS that you have the ability to design well, for example, in the field of wireless communication, and you can know from the KSIC what kind of object it is specifically capable of exerting. become more beneficial

The invention (application number 10-2016-0147990) filed by the present applicant is an invention that combines NCS and KSIC as a technology for automatically matching between jobs, but NCS and the like do not reflect the classification of tools, tools, and instruments In view of accumulating past data every 5 years, the need to research new advancement methods that can quickly reflect the current data has emerged. In relation to this, the present invention includes the idea of mapping the situation of tools, tools, and instruments currently being performed in the field into a field term cloud and combining it with the NCS or KSIC to map it with current live information.

On the other hand, the job competency classified as the NCS is perfected through practice, but students who have just graduated from school have a difficulty in that they cannot acquire perfect capabilities only through learning or training. In this case, it is desirable to determine what kind of aptitude the basic knowledge is really aligned with, but even though the NCS has prepared a subject called basic occupational ability in consideration of this, there is no technical plan to utilize it anywhere. Application No. 10-2014-0101271, which is a prior art in this field, is a big data analysis technique that uses other specifications such as major subjects or numeracy skills, but is an indirect and abstract analysis technique that analyzes national technical qualifications, foreign language proficiency, part-time jobs, and majors of origin. The technical method of directly verifying and predicting job ability towards the future, which only stays at the level, has never been reviewed in any prior art.

If the current field information posted by companies or individuals is reflected and utilized on the classification system of KSIC and NCS built on the basis of past market information, much more effective job matching is possible by reflecting market distribution technology. will do As an example, after selecting the self-introduction letter presented by passive users or the job bulletin board information presented by active users as keywords, it is made into a field term cloud and linked to the classification of the KSIC or NCS. As a technical method that can achieve the purpose will be.

Furthermore, if the basic job competency accumulated from the past is applied to automatic job matching to infer the future, not only can the job seeker's future propensity be discerned on a standardized system, but also the market situation can be predicted in advance according to the indicators taught in the basic job competency. Preemptive education and training to prepare for The present invention includes the idea of comprehensively encompassing the past, present, and future just like this.

The present invention is an improvement of Application No. 10-2015-7000192 conceived as a concept of subcontracting (purchase) brokerage, collaboration (idea) brokerage, job search linkage, or on-site invention between companies, between individuals, and between companies and individuals. It is an extension invention.

- Prior art related to technology for brokering corporate transactions 1) Application No. 10-2000-0019291 2) Application No. 10-2001-0029022 3) Application No. 10-2005-0018560 4) Application No. 10-2011-0126290 5) Application No. 10-2014-0031572 6) Application No. 10-2014-0054807 - Prior art related to interpersonal mediation technology 7) Application No. 10-2013-0101910 8) Application No. 10-2003-0009479 9) Application No. 10-2014-0183109 - Prior art for recruitment brokerage 10) Application No. 10-2001-0013750 11) Application No. 10-2013-0108466 12) Application No. 10-2014-0101271 13) Application No. 10-2015-7000192 - Prior technology for brokerage of comprehensive transactions such as subcontracting, recruitment, ideas, facility equipment, etc. 14) Application No. 10-2016-0147990 (original application number omitted)

A first object of the present invention is to apply the function as a basic job competency to a preliminary job competency who does not yet have the industrial field job performance capability so that the goal of automatic job matching can be predicted and applied to future-oriented and prospective office workers.

The second object of the present invention is the user's posted information (refers to information posted on a passive user's self-introduction letter or an active user's job posting board. In the specification of the present invention, the posted information is used as the same meaning below.) received as a standard It is intended to disclose a configuration that maps the content of classification to current market information.

In short, an object of the present invention is to provide convenience to users by collecting the latest information from the market and dynamically updating data accumulated from the past, and to provide new technical ideas that ensure the accuracy of automatic matching by verifying job capabilities through prediction. It's in the Koza box.

The present invention for this purpose,

In the computing device for transaction brokerage,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

A matching unit that selects and outputs a matched object by reflecting the posted information of active users and the posted information of passive users based on the registered job skills;

The leveling or scoring includes a configuration that can be automatically registered as a result of the course or evaluation corresponding to the leveling or scoring, and the course or evaluation is linked to the education and training system of the basic occupational competency database of the National Competency Standards A computing device further comprising a configuration is disclosed as an embodiment. The computing device referred to herein includes the meaning of servicing the user through the matching unit.

Also, the present invention

In the computing device for trade brokerage education,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

And a matching unit that selects and outputs a matched object by reflecting information posted by active users or posted information by passive users based on the registered job skills,

The leveling or scoring includes a configuration that can be automatically registered as a course or evaluation result corresponding to the leveling or scoring, and the course or evaluation is linked to the education and training system of the basic vocational competency database of the National Competency Standards. As a system using

Disclosed as an embodiment is a computing device that further includes a configuration in which a series of processes in which the data registered by the active user and the data registered by the passive user are matched from an input are simulated for educational purposes.

Here, the question items for the evaluation are randomly and automatically generated from the unit of the basic occupational ability textbook, the model answer is inferred from the content in the unit, and the evaluation result is presented by comparing the similarity with the model answer. desirable.

Also, the present invention

In the computing device for transaction brokerage,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

Including a matching unit that selects and outputs a matched object by reflecting the posted information of the active user or the posted information of the passive user based on the registered job ability,

The field term cloud is learned while the keyword included in the posted information of the user is linked to at least one field term cloud,

The field term cloud discloses a computing device as an embodiment, characterized in that it further includes a configuration mapped to the registered job classification unit.

Also, the present invention

In the computing device for trade brokerage education,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

Including a matching unit that selects and outputs a matched object by reflecting the posted information of the active user or the posted information of the passive user based on the registered job ability,

The field term cloud is learned while the keyword included in the posted information of the user is linked to at least one field term cloud,

The field term cloud is a system using a configuration mapped to the registered job classification unit,

Disclosed as an embodiment is a computing device that further includes a configuration in which a series of processes in which the data registered by the active user and the data registered by the passive user are matched from inputs and selected and retracted are simulated for educational purposes.

In each of the four embodiments described above,

Learning of the field term cloud is learned through the job classification registered in the input window unit and the active user's posted information or the passive user's posted information,

The mapping of the field term cloud is interlocked and classified so that the learned field term cloud belongs to the registered job classification,

When the job classification is changed in the input window unit, a field term cloud may be followed and displayed below it.

In addition, the keywords in the posting information,

If there is a pre-registered keyword of a previous user, it is registered in the field term cloud to which the pre-registered keyword belongs, and includes a natural language search configuration that compares length units or similarities in the registration step;

If it is a new keyword without a pre-registered keyword of a previous user, a configuration of creating and registering a new field term cloud or registering a new keyword in the existing field term cloud may be included.

In each of the four embodiments described above,

The transaction brokerage may be classified in association with at least one type of industry, job type, or capability unit among job offer, job search, subcontract, contract, facility, equipment, idea, and job invention. In addition, the computing device is connected to the NCS database so that the job competency is registered using the National Competency Standards (NCS), and the job classification units include at least two classifications among a major category, a middle category, a small category, and a sub-category, and the job capability may include units of competency that combine job classifications with job classifications.

In addition, the input window unit further includes a classification or term search window, displays all menus including the keyword in the input window for the three classifications according to the keyword input in the search window, subcategories including the three categories related to the keyword, It may include a configuration in which the middle classification including the small classification and the large classification including the middle classification are rearranged and displayed in a reverse direction.

In addition, the matching unit that selects and outputs,

The first priority is to match experienced people by job classification,

In the second priority, the unit of basic occupational ability is guided in the job classification, and the result of taking the basic occupational ability for the above-guided basic occupational ability unit is evaluated, and those who pass a predetermined score or more are matched,

In the third priority, further comprising a configuration for matching those who have taken the basic job competency for the basic job competency unit guided above in the job classification or those who have expressed interest in the basic job competency unit guided above in the job classification can do.

As a configuration integrating each embodiment as described above, the present invention

“In a computing device for transaction brokerage,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

Including a matching unit that selects and outputs a matched object by reflecting the posted information of the active user and the posted information of the passive user based on the registered job ability,

The leveling or scoring includes a configuration that can be automatically registered as a result of the course or evaluation corresponding to the leveling or scoring, and the course or evaluation is linked to the education and training system of the basic occupational competency database of the National Competency Standards is a composition,

The field term cloud is learned while the keyword included in the posted information of the user is linked to at least one field term cloud, and the field term cloud is mapped to the registered job classification unit. Computing device.”

When the present invention is used for automatic job matching technology, the following effects are obtained.

1) Keywords, etc. are updated in a distributed manner with detailed technologies that reflect the latest situation on the basic framework of historical standard data integrated by the government and market research conducted on the existing 5-year cycle, enabling complete communication between passive and active users based on field terms. be able to Here, the active user means the so-called “A” and the passive user means the so-called “B”. For example, when used for recruitment, active users refer to a plurality of companies seeking employment, and passive users refer to a plurality of individuals seeking jobs.

2) Through clouding of standardized field terms including the above keywords, old data as well as new data are systematically organized, so that users who update data or users who use updated data can create dynamic within a standardized systematic framework. It automatically updates to a site situation and also enables utilization.

3) Matches each other in consideration of whether or not they know how to handle tools, tools, machinery, software tools, etc. as specific means to demonstrate job capabilities, which were insufficient in the existing job classification, so matched parties accordingly. They are put into the field and can perform their duties immediately.

4) The above classification and the problem that the search becomes more and more complicated as the number of sub keywords increases is solved through reverse search, so the same effect as above can be obtained with the existing search function intact.

5) Even if you are a new employee or a student who does not have experience in job classification, you can judge your aptitude based on your future career or experience, so the job classification from the past and the reflection of the current situation and the future The aptitude judgment predicting with is comprehensively combined on the same basic frame.

As a result, if the present invention is used, at any time, no matter what expression is made by anyone, it is immediately accepted and updated, and the automatic job matching platform is always maintained as a dynamic operating environment with the latest classification system and the latest terminology.

Furthermore, the present invention has the effect of social guidance as a guide to provide indicators of future-type capacity development to prospective experts who have not yet mastered the competency unit.

1 is a table illustrating examples of industry classification by industry standards.
2a to 2b are diagrams summarizing the system of National Competency Standards (NCS).
2c to 2f are charts sequentially illustrating the process of confirming the content of a specific job type, competency unit, competency unit element, and work content (performance criteria, etc.) through the National Competency Standards;
FIG. 3 is a screen structure schematically showing how the database of FIGS. 1 to 2F is searched and registered in a screen system;
Figures 4a, 4b, 4c, and 4d show how Figure 3 is registered in the job search table and recruitment table in detail based on NCS performance in the case of employment, and what data is matched with each other in the registered table. A diagram of the screen structure that in principle explains in relatively detail what becomes the object to be.
5 is an example of a job competency diagnosis evaluation index for diagnosing how much a user's own level is when a user registers a level by ability in job classification.
Figures 6a and 6b is a schematic flow chart illustrating a case in which the present invention is utilized as a subcontract transaction brokerage service method.
Figure 7 is a schematic flow chart illustrating a case in which the present invention is utilized in a recruitment brokerage service.
8 is a schematic flowchart illustrating a case in which the present invention is utilized for a field invention determination service.
Figure 9a is a flow chart illustrating a procedure for searching a job classification unit and a job classification unit in the forward or reverse direction in the present invention.
9B is a flowchart illustrating a process in which a consumer searches for facility equipment, manpower, or an idea registered in a corresponding job classification unit or job classification unit in the window searched in FIG. 9A. Contents or links registered once here can be searched and used multiple times.
10a is a flowchart showing a procedure for registering a job classification in order to use the service of the present invention by a person seeking a job as a career employee or a person seeking a job as a new employee in the case of recruitment, particularly through training (evaluation) in the case of new employees. A flow chart showing the principle of executing the NCS job classification after entering it.
FIG. 10B is a flowchart illustrating a concept corresponding to FIG. 11A and applying a procedure when a job offerer registers a job classification and a training (evaluation) process.
10C is a flowchart showing priorities for operating automatic job matching in consideration of basic job skills;
11A is a table illustrating examples of job classification to which essential basic vocational competency groups are applied. According to this, it can be seen that one job classification is limited to only 5 out of 10 jobs.
11b to 11d are tally tables showing a total of 10 basic job skills.
FIG. 12 is a flowchart conceptually illustrating in terms of a general flow diagram which data is input and operated in a specific system in FIG. 7, which is used for recruitment.
13a and 13b are flowcharts and screen arrangement diagrams illustrating the configuration and registration of field term clouds and keywords of the present invention.
14 is a block diagram illustrating the hardware structure of the present invention in relative detail.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, since this is not intended to limit the present invention to specific embodiments, it should be understood that the configurations disclosed below include all modifications, equivalents, and substitutes included in the spirit and technical scope of the present invention. While describing each figure, similar reference numerals have been used for similar components, but, for example, terms such as first and second are used only for the purpose of distinguishing one component from another, and the components It should not be understood that they are limited by attaching terms such as first and second. Without departing from the scope of the present invention, the above terms may refer to a first element as a second element, and in the same principle, a second element may also be referred to as a first element. In addition, in the method invention of the present invention, it is understood that not only each step is performed sequentially as illustrated, but also that the detailed order can be changed as needed, as long as the function from start to finish is the same and all components are included You must read the specifications described below. In particular, since the present invention is an improved invention of the related prior art described below, if there is a part that is not well understood in the specification of the present invention, the specification of the related prior art must be read and referred to.

Under the same principle, embodiments according to the present invention will be described in detail below with reference to the accompanying drawings.

1 is a table excerpted from a part of the Korean Standard Industrial Classification Table, which is one of the industrial standard classifications. According to this, the lowest technology is classified into small categories. Among them, only RFID technology and USN technology are finally listed in the middle classification of RFID/USN, but there is no expression of parts, software, tools, etc. to achieve them. Therefore, it is not easy to determine whether a user is an active user, that is, a person who can utilize the equipment in his or her company to demonstrate his or her ability from the perspective of the company, which is the employer.

Figure 2 shows the background and details of the introduction of the National Competency Standards (NCS).

Figure 2a is conceived as a concept in which NCS systematically collects what is happening in the industrial field, puts it in a database called NCS, and uses it jointly by workers/enterprises, educational training institutions, and qualification testing institutions.

Overall, it consists of 24 major classification occupations (77 middle classification, 227 sub classification, and 857 sub classification), and if you go down to the lowest competency unit, it is subdivided into planning, design, maintenance, etc. You will be able to know in detail whether you are a person who is good at building, planning, construction, or maintenance.

Figure 2c captures the process of selecting major categories in the actual NCS site, Figure 2d captures the process of selecting the 'capacity unit' below it, and Figure 2e captures the process of selecting one competency unit again about five 'capacity units'. It is a drawing that allows you to know that it is standardized by including 'capability unit element'. 2F is a diagram illustrating a more detailed explanation of capability unit elements through performance criteria.

For example, the capability unit element of 'doing site inspection' can specifically predict the service area according to the surrounding landmarks. 'It is possible to determine the size of the steel tower, the number of antennas, the influence of the terrain, and the type according to the predicted service area. 'A layout plan for steel towers, equipment rooms, power lines, and communication lines can be drawn up.' Soil environment for grounding facilities can be analyzed.' It can be seen that it includes five performance criteria, 'You can create a review list necessary for In other words, a person with the highest level in the competency unit of FIG. 2f should be able to complete these 1.1, 1.2, 1.3, 1.4, 1.5', but in reality, most companies do not do this alone, but collaborate within a team. .

However, these performance criteria are not achieved only with knowledge, so appropriate tools are needed for each performance criterion to be achieved as technology. For example, even if it is just a word processor, there is 'Lae Hangul' and 'Word', and in the case of drawings, various tools or aptitudes such as 2D CAD, 3D CAD, PowerPoint, manual tools (modelers, etc.), hand sketches, etc. There may be, there is a program for deriving a specific profile to predict the service area, and there are various types of experience/career for the type of steel tower and antenna.

In other words, it is very important to know this experience/career in detail for a company that wants to collaborate, but there is a problem that information about these tools, equipment, parts, etc. cannot be found in this classification table.

Therefore, the necessity of the present invention is to classify the experience / experience of these tools, parts, tools, facilities, devices, etc. in the same way so that passive users and active users can utilize them together. In the most desirable configuration, when selecting a competency unit, tools, tools, programs (tools), facilities, measuring instruments, mechanical equipment, etc. corresponding to '1.1, 1.2, 1.3, 1.4, 1.5' above are automatically close-up. It allows the user to check the details and operate to select the matching target simply by clicking.

FIG. 3 is an extract of the concept of setting a classification table in the automatic job matching technology disclosed in the prior art of Application No. 10-2015-7000192 (hereinafter referred to as 'linked prior art' in the present specification). That is, FIG. 3 arranges the industry classification of the Korea Standard Industrial Classification series as a job classification group and arranges the NCS classification as a job classification group, and divides them into which job competency units are in which industry by combining them appropriately. For example, the USN described above is selected from the job classification group, and the wireless communication network construction design is a concept selected from the job classification group. However, it has already been explained above that keywords corresponding to tools, tools, etc. cannot be searched here, so mentioning them again is omitted.

Detailed configurations related to this are extracted from FIGS. 4A to 4D, and since these are all core technologies of the 'linked prior art', they will be omitted here. If necessary, refer to the detailed description of the 'linked prior art'. hope For reference, the present invention is to measure the 'linked prior art', so the contents of the 'linked prior art' are copied and added to the specification in the course of correction, as the contents are extracted and quoted or the principle is applied mutatis mutandis therefrom. , or if understanding is ambiguous in the process of interpretation, it is made clear in advance that the contents of the above 'linked prior art' may be applied mutatis mutandis.

For reference, since the job classification defined in the claims of the present invention includes the lowest level competency unit in the NCS, the term 'job classification' in the present invention is explained using the item name 'capability unit' in the NCS for convenience, or to mix up

4A to 4D are diagrams showing the configuration and operation principle of the job registration screen of 'linked prior art', which is the background art of the present invention.

First, in FIG. 4A in which a job seeker manipulates registration, (a1000) is a search window for searching for a keyword, and if this is left empty, the NCS enters three categories (job ) can be selected, and while checking each competency unit (a1005) in the three categories selected in this way, the performance level from 1 to 5 equipped next to each competency unit (left and right) and the experience 'Number of years of performance ( )' will be registered. When registering, each competency unit ranges from “very good level (5) to very poor level (1)”, and it is possible to register as an indicator expressed as a level or score. can be dealt with

With this structure, a table as indicated by 'example)' in the lower left part of FIG. 4a is created.

At this time, if you want to specifically check the performance criteria, knowledge (K), skill (S), and attitude (A) included in each competency unit, click the content button next to each competency unit to confirm (through Fig. 2f) Select the relevant competency unit and register each level from 1 to 5. Since the 'Job Overview' button in FIG. 4A is a button representing the definition of a job corresponding to three categories (jobs), it is possible to easily check the purpose of the entire competency unit of the corresponding job (see FIG. 2D). In other words, the job outline button replaces the large scale map, and the content button next to each competency unit replaces the small scale map.

4B is a screen for registering a job offerer (company). At this time, the principle of registering from (a3001) to (a3005) is the same as the principle of the job seeker's registration operation in FIG. 4a, and the 'example) registered therefrom is also the same as the principle of FIG. 4a described above. is omitted.

For example, the matching target may be compared between d1001-1 of FIG. 4A and d3001-1 of FIG. 4B. According to this, since it can be seen that the performance skills registered in the job search table and those registered in the job offer table are the same, this case is a target to be listed with the highest priority. In addition, the same result will be obtained even if the number of performance capabilities by job classification registered in d1001-1 of FIG. 4a is greater than the number of performance capabilities by job classification of d3001-1 of FIG. 4b (because of the principle of including).

In FIG. 4b, 'registration under the And condition' refers to a competency unit that a job seeker who wants to hire must be able to perform, 'registration under the Or condition' refers to an optional competency unit, and 'registration under the Not condition' must be excluded. It means unit of ability to do. For example, while designating the job of a person in charge of researching prior art in a research institute, the competency unit code of a person who has worked in a managerial position for a long time may be excluded.

Here, it can be seen that the 'example)' of Figure 4b and the 'example)' of Figure 4a coincide, which is the performance of the NCS competency unit standard presented by the job seeker and the performance of the NCS competency unit standard presented by the job seeker. means that it matches The matching unit of the present invention, which will be described below, includes a function of automatically matching performance capabilities within the range of matching and/or inclusion.

Meanwhile, FIGS. 4C and 4D have screen structures in which job seekers and job seekers register as in FIGS. 4A and 4B described above, but there is a difference in that the operation is different when keywords are input into the search windows (a2000, a4000).

That is, in FIGS. 4A and 4B, since the search box is left empty without keywords, all occupations are uploaded as menus in the drop-down menu window, but in FIGS. 4C and 4D, only three categories (jobs) including keywords are uploaded. It is uploaded as a menu in the three classification window, and accordingly, the menu is rearranged and uploaded in the reverse order of the small classification including these three classifications, the middle classification including the small classification, and the large classification.

This reverse menu rearrangement configuration means "reverse rearrangement from the lower menu window to the upper menu window through a drop-down forward search from the upper menu window to the lower menu window and an operation of entering keywords in the search box."

In short, although FIGS. 4A and 4B may have 24 major category menus, for example, only one major category menu may be available in FIGS. 4C and 4D , so the user's operation becomes simpler as the number decreases. This corresponds to the configuration conceived so that it can be searched in the reverse direction so that it can be easily found at once. However, regardless of registration in either of FIGS. 4A and 4C, there is no change in the functions compatible with and matched with those registered in FIGS. 4B and 4D. This principle can be applied not only to keywords related to job titles as described above, but also to keyword searches for field term names such as tools and tools subordinate to (followed by) the corresponding competency unit.

In short, through this configuration and operation, a library can be created on the fly in which job content and tool keywords, etc. can be searched as practical terms, and finally, using this library, it is possible to use this library in detail to classify tools and tools in detail. will be able to According to this principle, the 220,000 databases are expanded to millions of databases, but the inconvenience of using them is resolved.

Furthermore, difficulty, importance, and frequency may be further included as additional information in at least one of the above-described work field NCS, work field NCS, competency unit, and competency unit element, and may be registered to be generated. At this time, the degree of difficulty indicates the level of level, the degree of importance indicates the degree to which an important ability is considered, and the frequency indicates the degree of frequent encounter. At this time, the expression "I can do it well" encompassing difficulty, importance, and frequency can be used to indicate grades such as high, medium, low, or 1, 2, 3, 4, 5, etc. This is the case in FIGS. 4A to 4D. These are “1,2,3,4,5” that are registered when registering performance capability (see a1005 in FIG. 4A, etc.). That is, in a1005 of FIG. 4A, if you click and register as scales 5, 4, 1, and 3 for competency unit (1), competency unit (2), competency unit (3) ... and competency unit (n), the result is In the lower part of 'Example' of FIG. 4A, registration is performed at each competency level (performance level) corresponding to 5, 4, 1, and 3 for each competency unit code and name.

In the present invention, the method invention operation method of the present invention, which is easily registered through such manipulation, is expressed as “registration of the capability unit as an indicator obtained by leveling or scoring the level of each capability”.

5 is a self-diagnosis evaluation criterion for leveling and displaying the level for each ability. Here, very poor corresponds to level (1), and very good corresponds to level (5), and in the case of very good, documentary evidence, photographic evidence or field terminology keywords described above can be used well in the case of very good. It would be better to prove it by explaining in the experience/career concept of tools, tools, etc. This leveling indicator can also be displayed as a percentage or a score of 10 levels.

Figure 6a shows an embodiment of a subcontract flow chart that is the background art of the present invention. It is also excerpted from 'linked prior art', and a representative example of one of them is dumped and briefly explained as follows.

That is, FIGS. 6A and 6B, which are procedures when used for subcontracting brokerage services,

1) Database registration step 110 of inputting, storing or modifying basic information and basic information of member companies to be consignors or consignees;

2) an expert verification step (120) of inputting, saving or modifying diagnosis information obtained by a due diligence evaluation of business information and basic information of the member company by an expert; (However, the expert verification stage can be excluded)

3) Consignment request step (130) in which the consignor sets up arbitrary requirements for each individual in the menu method and registers the consignment object to submit to subcontract bidding;

4) Entrustment hope step (140) in which the consignee presents arbitrary desired conditions for each individual in the menu method;

5) Negotiation target calculation step (150) of analyzing the short-term search conditions set by the consignor, the long-term and mid-term information stored in the database, and the desired conditions presented by the consignee through logical operations to generate information to be selected as a subcontractor;

6) Negotiation information sorting step 160 of automatically sorting and displaying the result of selection by the negotiation target calculation step in the negotiation priority order;

7) Negotiation information providing steps (170, 180) in which, among trustees to be displayed, non-regular members are displayed anonymously and only regular members are displayed with real names;

8) Negotiation execution step (190) of executing negotiations between the consignor and the consignee according to the negotiation information displayed in the negotiation information providing step;

9) Fee settlement step (200) of performing settlement according to completion of mediation service when a contract is concluded after the negotiation execution step, but applying electronic guarantee when settlement is not made; (However, it is also possible to pay in advance through membership registration, etc.)

It can be summarized as , where the above-described capability units of the present invention can be utilized for individual requirements and desired conditions.

In addition, this configuration is a more omitted configuration,

a) Database registration step of inputting, storing or modifying information of member companies to be consignors or consignees;

b) a consignment request step in which the consignor presents the NCS code linked to the NCS data and registers the consignment object;

c) a consignment request step in which the trustee presents an NCS code corresponding to the NCS code presented by the consignor and makes a bid;

d) Negotiation target calculation step of generating information to be selected as a subcontractor by calculating the correspondence between the NCS code presented by the consignor and the NCS code submitted by the consignee;

e) Negotiation information providing step in which real name information necessary for negotiation among trustee information generated in the negotiation target calculation step proceeds in a multi-step process from anonymity to real name and is displayed in conjunction with a usage fee;

It can also be used for the transaction brokerage service method included in If you need a more detailed explanation about this, please refer to the specification of 'linked prior art'.

In particular, the above 'linked prior art' includes a configuration in which creativity and discount rates are additionally included so that, for example, the other party having intellectual property rights such as patents is preferentially sorted.

7 is a flowchart illustrating a recruitment mediation service method, which is a background art of the present invention.

The flow chart of the service method related to this is,

Table creation step (S100) of creating a table with presentation data of registered job seekers and job seekers based on NCS codes;

A matching step (S110) of matching data in the table registered by at least one job seeker and at least one job offerer by comparing the similarity of NCS classification;

a matching list display step (S120) of expressing job seekers and job seekers matched in the matching step as a list;

If the list of job seekers or job offerers is designated, detailed registration contents corresponding to the job seekers or job offerers are displayed (S130);

In the case of personal information in the registration contents browsing step, a personal information authentication providing step (S140) provided through a separate authentication step;

consists of Here, the usage fee may be charged in the general search step or may be additionally charged as an option fee for executing the automatic matching step.

8 is a field invention identification service method using a server and a communication network based on the National Competency Standards (NCS), which is the background technology of the present invention,

A step of meeting the conditions of use of a user who can use the on-site invention determination service (S200);

A field invention identification step (S210) in which the NCS-based field invention analysis program guides the contents and judgment results for personal invention, employee invention, and employee invention according to the operation of the user;

It is a conceptual diagram showing a field invention determination service method including a flowchart.

That is, FIG. 8 provides a program that can accurately distinguish the company's work and the individual's work based on the NCS as a solution to the difficulty in understanding the definition of field invention by general employees.

9a and 9b are diagrams for explaining the principle of connecting the job classification and the NCS job classification in 'linked prior art', which is the background art of the present invention.

That is, after loading the task classification window (S2003a, S2003b, S2004) using forward or reverse search (S2002a, S2002b) as described above, any of the facility equipment manpower related to the task is displayed in the loaded task classification window. Opening one or more related site links (S3001a) or registering one or more service contents among facility equipment personnel related to the business (S3001b),

By loading (S3003a, S3003b, S3004) the link opening or the registered result into forward and backward search (S3002a, S3002b), linking (S3005a) to one or more related sites among the established facility equipment manpower or the registered facility equipment manpower It is configured to search (S3005b) for any one or more service contents.

At this time, the task classification window uploaded through the forward or reverse search may be a window based on the task classification described above or a window based on the task classification. Also, at this time, the site to open the link may be a site that manufactures, rents, or sells facility equipment, or may be a human resource company. In addition, the registered contents may be information on companies that manufacture, lease, and sell facility equipment, types and characteristics of work performed, and idea markets mainly used by corporate research institutes.

In short, 'linked prior art', which is background technology, is a job classification that classifies jobs. For example, competency units and industry classifications are used as basic, while subcontracting, job search, facilities, equipment, manpower, ideas, etc. are efficiently used on this basis. However, the present invention furthermore deepens the classification function to the content of the job more accurately by additionally interlocking keywords here.

The description of the background of the present invention as the above 'linked prior art' does not mean that the present invention necessarily includes the contents of these 'linked prior art' in the present invention, but the process from these principles to the birth of the present invention. It should be understood that I mentioned it for introduction so that you can know. The present invention may be run on services similar to or separate from these.

On the other hand, in the present invention, a program based on the principles described above is manipulated, educated, disseminated, or staffed for front-line agency service by specialized fields such as subcontract brokerage, job search brokerage, on-site invention and job invention identification, ability unit facility equipment management, and idea brokerage. It includes the idea of education and training to develop

To explain education and training in detail, the education or training of the present invention is applied in two concepts.

One is education on operation that can use the automatic job matching program of the present invention, and this is education applicable to front-line operators (eg, affiliated stores) who want to provide services with the brokerage system of the present invention.

And the other is the concept of education or training to help users by considering how to acquire the desired competency unit. Since these configurations represent one feature of the present invention, they will be described in more detail below.

First, operator training includes the function of automatically simulating a series of processes of registration and matching of job offer (or job search) of the competency unit described above, and service by returning the result of matching to the user. For example, such a simulation program uses previously stored data (for example, multiple captured screens) for each of a plurality of conditions to educate trainees with automatically displayed videos so that trainees can know in detail how to operate the program. According to this, in principle, there is an effect that education is possible without a professional instructor.

Next, user education can be provided by clicking a button for education directly corresponding to the competency unit of the present invention. For example, when the corresponding competency unit has aptitude or interest but no career or experience, linking to educational materials related to the competency unit links to the learning module or e-learning program (site) of the corresponding competency unit, for example, streaming the corresponding knowledge and technology information can be provided.

In particular, in the case of a new employee (new employee) who wants to have a job for the first time, the relevant competency unit represents aptitude and cannot be called career. will be needed In this case, the educational program of the present invention can check whether or not to attend education by linking textbook materials and evaluation of basic vocational skills.

In other words, in the case of a new employee, it can be configured so that only when a certain level or more is obtained through the evaluation of the basic job ability, the procedure of registering the corresponding competency unit can be performed.

At this time, the question items for evaluation are randomly and automatically generated based on the title of the unit of the basic occupational ability textbook, and the evaluation result is scored by comparing the similarity with the model answer while inferring the model answer from the contents of the unit. can be implemented as a configuration. At this time, the evaluation score may be presented as a level of 1 to 5 steps or 1 to 10 steps, or as a score (or %). Here, the random range and evaluation score are, for example, the range of units set for each specific job classification and the scores applied by applying weights for each unit, and then automatically assigning levels or scores in the job classification (competency unit) based on it. Artificial intelligence (AI) processing may be employed.

10A is a flowchart showing a procedure for registering a competency unit for a person seeking a job as a career employee or a new employee to use the service of the present invention. In particular, in the case of a new employee, the NCS competency unit It is a flow chart showing the principle of automatically entering the level for each ability.

FIG. 10B is a flowchart corresponding to FIG. 10A and shows the concept of applying the procedure and training (evaluation) process when a job seeker registers a competency unit, and FIG. 10C operates automatic job matching in consideration of basic job skills. It is a flow chart showing the order of priority.

That is, FIGS. 10a, 10b, and 10c correspond to those disclosed as flowcharts of various procedures and education and training service methods for taking basic vocational skills accordingly.

First, FIG. 10A is a flowchart showing a registration procedure when registering for a job as a new employee and when seeking a job as an experienced employee.

When registering to seek a job as a career employee (E2001), the job seeker registers for a job in terms of what he or she is good at (E2002).

To this end, first, a competency unit suitable for one's career is searched (E2003), and the level of that competency is entered, for example, in one of steps 1 to 5 in the corresponding competency unit column. At this time, it would be advantageous to include a photo or self-introduction letter that can prove your career (E2005). This will be easily understood by referring to the principle of automatic job matching related to the selection of competency units described in FIG. 4 .

Unlike this, when registering to seek a job as a new employee (E1001), the job search is registered in terms of what kind of job the new employee wants to do, that is, in terms of finding a job that suits his aptitude (E1002). Fortunately, if you have learned the relevant competency unit of NCS at school, you can search for a job with experience (experience), but if not, that is, if you do not have experience in the relevant competency unit, the opportunity to register for a job by NCS is blocked, so it is helpful to solve this problem. The flow from E1001 to E1010 in 10a is also operational.

That is, at this time, the job seeker searches for a competency unit that matches his or her aptitude (E1003). When the NCS module (FIG. 2c to FIG. 2e) is opened by searching for a competency unit, as shown in FIG. 11a, 5 essential competency units among 10 types of basic job competency appear (E1004).

For reference, FIG. 11A is an essential basic occupational competency group extracted by taking one of the competency units of 'wireless communication network establishment' as an example. In other words, the total basic vocational skills are communication ability, numeracy ability, problem-solving ability, self-development ability, resource management ability, interpersonal relationship ability, information ability, technical ability, organizational understanding ability, and vocational ethics. 11c and 11d), but it means that the five basic occupational competency units must be completed in order to build a career in performing a competency unit suitable for one's aptitude.

In short, in NCS, it means that those who have completed the five required basic competency units have the basic knowledge or attitude to easily master the corresponding competency units in the future.

However, basic vocational skills can be said to be similar to basic studies at school, so it is safe to say that those who are faithful to their studies at school have basic vocational skills.

Returning to FIG. 10A , the job seeker clicks a button for taking the basic job competency (E1005), and accordingly, the education and training program of the present invention provides e-learning data and evaluation problems (E1006). Evaluation questions are randomly extracted from the set range of three units, large, medium, and small, from the basic occupational ability textbook, and model answers to them can be automatically extracted with keywords from the content included in the unit. In any case, according to this class and evaluation problem, the job seeker can know the preference of whether the competency unit matches his/her aptitude (E1007), and through the process of evaluation (E1005), it is possible to identify the competency unit that fits the aptitude. . Furthermore, since the result of the performance evaluation can be automatically registered at the level of each competency, objective reliability can be obtained for the level of each competency unit (by job category) registered through this evaluation, which is especially true of standardized data accumulated in the past. Using this, a special effect of evaluating future human resources is obtained.

If a person has faithfully studied at school, he or she will be able to pass the evaluation (E1005) immediately without having to take e-learning classes and receive a high level or score at the corresponding level of ability.

When the preference for the competency unit is determined (E1007) through the evaluation (E1005), the education and training program of the present invention checks (E1008) whether the number of job basic skills and the evaluation result match for each competency unit. In other words, in the case exemplified above, it is checked whether the five essential basic vocational competencies are satisfied and whether the total evaluation score exceeds, for example, an average score of 60 points (or 80 points, etc.).

As a result, when matching is confirmed by satisfying the condition (E1009), the job seeker gives a high score for selecting the competency unit and registers the performance capability (E1010) in the job search program of the present invention. Including the automatic job matching process in the prior art) will be equipped with the conditions to be executed.

If you do not meet 60 points in all basic vocational skills, scores in some subjects are lowered, or subject evaluation is omitted, in the matching test (E1008), scores will be subtracted to match them. Registration such as provision of problems, synthesis of evaluation scores, and level scores for each ability can be operated by artificial intelligence (AI).

In short, education and training programs are used as a prerequisite for activating the automatic job matching process, so that new employees can immediately search for essential basic job competency units by linking with the competency unit they want to register, and furthermore, applicable to e-learning. While downloading and taking courses, it is verified through evaluation that incorporates artificial intelligence, etc., and the result is scored or leveled with reliable data, and it is registered as an individual competency unit, that is, as a job classification. Here, the required basic occupational competency unit may be a number required by the NCS standard, but may also be a number specified and requested by a specific job seeker for the corresponding competency unit. Regarding the job seeker, the above ability level can be re-registered.

10B is a flowchart illustrating a procedure for registering experienced employees and new employees in the system of the present invention when a job seeker, that is, a company seeking employment, employs experienced employees and new employees.

First, when hiring experienced employees (E4001), register in terms of what kind of job you are looking for (E4002). Enter the level as the desired level condition (E4004), and proceed to the procedure of completing job registration by adding conditions such as necessary documentary evidence (E4005).

Next, when hiring a new employee (E3001), consider the environment of the new employee described above and register them in terms of what kind of job they want to have them do (E3002).

After searching and designating the desired competency unit (E3003), searching for the essential basic vocational competency to perform the job competency (E3004), adjusting the number of essential vocational basic capabilities required by the company (i.e., 5 (E3005), the company can re-adjust) and the evaluation criteria are also adjusted (E3005), so that job registration is made with this as the setting condition for the corresponding competency unit. (In other words, it may be possible to adjust the number of essential job basic skills by reducing them to 3 and setting the evaluation score cut-off to an average of 70 points. In this case, as mentioned above, artificial intelligence automatically adapts to the ability unit when the job seeker searches for it. It is possible to automatically update the job seeker's ability level corresponding to

A sentence summarizing the above is disclosed in the claims as follows.

That is, as a claim applying basic job skills to automatic job matching,

In the computing device for transaction brokerage,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

A matching unit that selects and outputs a matched object by reflecting the posted information of active users and the posted information of passive users based on the registered job skills;

The leveling or scoring includes a configuration that can be automatically registered as a result of the course or evaluation corresponding to the leveling or scoring, and the course or evaluation is linked to the education and training system of the basic occupational competency database of the National Competency Standards A computing device further comprising a configuration.

In addition, as a claim that summarizes the above configuration for simulation education,

In the computing device for trade brokerage education,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

And a matching unit that selects and outputs a matched object by reflecting information posted by active users or posted information by passive users based on the registered job skills,

The leveling or scoring includes a configuration that can be automatically registered as a course or evaluation result corresponding to the leveling or scoring, and the course or evaluation is linked to the education and training system of the basic vocational competency database of the National Competency Standards. As a system using

The computing device further comprises a configuration in which a series of processes in which the data registered by the active user and the data registered by the passive user are matched from an input are simulated for educational purposes.

can be expressed as

10C is an automatic job matching process optimized for the parties who have registered the new employee job search and job offer.

In the matching process, a person with experience in each competency unit may be prioritized and matched first (E5001).

Next, even though they do not meet the level of experience, among those who have selected a competency unit, those who pass a predetermined score or higher after being evaluated for the basic job competency corresponding to the attitude to perform the job of the corresponding competency unit can be matched as the second priority. Yes (E5002). That is, as the second priority, the unit of basic occupational ability is guided in the job classification, and the result of taking the basic occupational ability for the guided basic occupational ability unit is evaluated, and those who pass a predetermined score or more are matched.

Next, even though they have not been evaluated with a predetermined score, those who have taken the essential basic job competency corresponding to the attitude to perform the job of the corresponding competency unit can be matched as the third priority (E5003). In addition, the 4th priority can be matched with those who designate the corresponding capability unit (E5004). That is, those who have taken the basic vocational competency unit for the basic vocational competency unit guided above in the job classification in the 3rd to 3rd to 4th priority, or those who have expressed interest in the basic vocational competency unit guided above in the job classification characters can be matched.

According to this ranking, it is possible to lead an environment in which people receive education and training to perform their duties naturally. In other words, it is possible to obtain the effect of guiding voluntary education participation in the public interest aspect.

In addition to the recruitment brokerage service, the present invention can be applied to various fields such as subcontracting, idea brokerage, job invention determination, facility equipment brokerage, and the like.

In particular, the search window can be configured to convert natural language and search for similar terms. It may be implemented to evolve and develop into an interlocking configuration of two-way communication in which opinions are presented and corrected. In other words, through such a technical idea, the present invention can expand and develop capability units beyond the scope of NCS, while being linked with industrial classification so that it does not deviate from the range of understanding and communication between users.

To this end, the part appealed by the self-introduction letter and the recruitment announcement in FIG. 12 extracted from 'linked prior art' shows that the keyword classification, which was insufficient in the competency unit classification of the present invention, is reinforced by taking recruitment mediation as an example. That is, in order to increase accuracy in the automatic job matching process, the keywords among the posted information posted in the self-introduction letter and the job posting are organized in the field term cloud, which is a group unit by type, and the conceptual position of mapping to the corresponding competency unit is shown on the flowchart.

If we summarize the contents of the description first as a method of expressing the claims,

“In a computing device for transaction brokerage,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

Including a matching unit that selects and outputs a matched object by reflecting the posted information of the active user or the posted information of the passive user based on the registered job ability,

The field term cloud is learned while the keyword included in the posted information of the user is linked to at least one field term cloud, and the field term cloud is mapped to the registered job classification unit. Computing characterized in that it further comprises device.”

13A is a flowchart illustrating this in more detail.

Job classification unit units K101 and K102 presenting a plurality of classification units; is a process of searching for job classification (business classification) and job classification. Here, KSIC and NCS have been described as examples.

An input window unit (K103, K104, K105, K106) presenting an input window so that job ability can be registered as an indicator of leveling or scoring the level by ability in at least one job classification among the classification units; After registering as a level level or score index, search from the self-introduction letter or job posting to find and register keywords such as tools, tools, facilities, machines, instruments, functions, programs (tools), shapes, materials, and parts accumulated in the term cloud. Indicates the procedure for presenting an input window to At this time, keywords that have already been registered are used, but when a new keyword is to be created, the process is performed as described below.

After registering through the above procedure, the “matching unit that selects and outputs matched objects by reflecting the posted information of active users or passive users based on the registered job skills” as described above can be operated. At this time, automatic job matching is performed by referring to indexes obtained by leveling or scoring the competency units by competency level.

By the way, if the keyword you want to include in the posted information of the user is an existing keyword, you can find and select it from the field term cloud, but if it is a new keyword that does not exist, find an appropriate category from the field term cloud and link it or create a new one. A field term cloud is created and keywords are stored there.

That is, if there is a pre-registered keyword of a previous user, it is registered in the field term cloud to which the pre-registered keyword belongs, and a configuration of searching for pre-registration by natural language search comparing the length unit or similarity at this time, and if the previous user's In the case of a new keyword without a pre-registered keyword, a new field term cloud is created and registered or registered as a new keyword in the existing field term cloud. That is, it is newly learned through the field term cloud through the job classification registered in the input window and the posted information of the active user or the posted information of the passive user, and the learned result at this time is linked to belong to the registered job classification. It is updated as a principle. In addition, when the job classification is changed in the input window unit, the field term cloud belonging to the lower level is also followed and automatically classified so as to be displayed as a library at the time of search.

According to this principle, even if there are numerous keywords, the close-up is limited to the corresponding three categories or the corresponding competency unit (job classification). That is, they are organized so that they are easily selected.

In the specific learning procedure, when recognizing new keyword generation in FIG. 13a (K107), the most similar keyword is suggested by natural language search (K109, K110) and updated to the latest term, but the result of the selection process matches or similar natural language If there is no field term cloud classification is designated by type (K111, K112) and registration as a new keyword is requested (K113). In this case, by type refers to classification by type such as shape/function, tool/tool, facility/equipment, machine/apparatus, measurement/equipment, software component/package, automatic/manual control, and the like.

At this time, if the registration request is recognized as valid (K114, K115), it is registered as a new keyword (K117, K118), and the field term cloud and new keyword are mapped according to the competency unit or occupational classification included in the posted information (K119 , K120), and then using the newly created library (K121), other users can use it as a pre-registered field term cloud or as a subordinate keyword as described above.

Most preferably, the field term cloud is made to be linked to a substructure of a certain capability unit, and the subordinate keywords are mapped to be linked again to the field term cloud. After mapping, the upper unit is selected, but it is desirable to close up the lower mapping configuration in conjunction with it and leave it hidden normally.

Fig. 13B shows the concept of this configuration.

That is, in FIG. 13B, K5 electrical and electronics corresponds to the major industry category, K50 electronic device development corresponds to the job subclass, and K503 corresponds to the competency unit. After the field term cloud called software tool (K5030) is created under it It is shown that K50301, K50302, K50303, K05304, and K50305 are mapped in the field term cloud. Among them, K50301, K50302, K50303, and K05304 are represented by solid lines to signify pre-registration, and Hadoop, K50305, means a new big data analysis engine, depicting that a user registered as a new keyword and can use it openly to everyone thereafter. indicated by a dotted line.

That is, in the above configuration, the mapping of the learning results is a configuration in which the subordinate field term cloud is classified in conjunction so that when the competency unit is changed in the classification input window unit, it is selectively displayed. For example, in the classification input window unit, the software tool If (K5030) registers that it wants to be newly classified as not only software design (K503) but also system construction, it will be linked and changed so that the same field term cloud is displayed in the search for the corresponding competency unit from then on.

In short, if there is a pre-registered keyword of a previous user, the keyword in the posting information can be found and registered from the pre-registered keyword, and if it is a new keyword without a pre-registered keyword of a previous user, a new field term is obtained through a separate verification step. By creating and registering a cloud or registering it as an update that expands new keywords through similarity analysis within the existing field term cloud, it can be operated as a learning and interlocking mapping function that reinforces the job classification from the past with lively information. .

On the other hand, since this configuration can also be used for simulation education, if an example of the configuration is described in the form of claims,

, and the educational device is

“In a computing device for trade brokerage education,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

Including a matching unit that selects and outputs a matched object by reflecting the posted information of the active user or the posted information of the passive user based on the registered job ability,

As a system using a configuration in which keywords included in the posted information of the user are linked to at least one field term cloud, the field term cloud is learned, and the field term cloud is mapped to the registered job classification unit,

The computing device further comprises a configuration in which a series of processes in which the data registered by the active user and the data registered by the passive user are matched from inputs and selected and output are simulated for educational purposes.”

becomes

A detailed description of this has one aspect overlapping with the one described above, so it will be omitted and supplemented with correction if necessary, and FIG. 14 shows the hardware configuration of the present invention.

Among the terms of the present invention, the field term cloud is a configuration that connects a plurality of keywords to a virtual space and is linked to a plurality of capability units or classification units at the same time, and when one user registers for mapping, several other users means that they can be used together. That is, a plurality of keywords and a plurality of competency units may be mapped to one field term cloud of the present invention, and on the contrary, even if one keyword is mapped to a plurality of field term clouds, a plurality of field term clouds mapped to the field term cloud. It also includes the meaning that it can be commonly used in competency units, etc. In this way, they have the characteristics of being connected to each other through a network.

Here, the field term cloud is preferably in the form of intermediate collection of types commonly used in the field with various terms such as shape, function, tool, tool, facility, equipment, measurement, mechanical device, electric device, power tool, packaged professional program, etc. . To take an example of network mapping as an example of its utilization, 'radio bench' can be mapped as a tool as well as an instrument, and the field term cloud named as such a tool or instrument can be mapped as an electronic part competency unit and an electrical part competency. Can be mapped simultaneously to units. In this case, a single ‘Radio Bench’ can be linked and utilized as a sub-mean to achieve various competency units through the field term cloud, which is an intermediate virtual space. Eventually, the capacity and processing of the database become efficient, and the effect of providing convenience for the user's selective designation operation according to the classification by type of virtual space is obtained. Furthermore, there is an effect of grafting the past and the present, in which the accumulated data of the past, such as job classification standards, are linked and updated with live field terms.

In the above, the preferred embodiments of the present invention have been shown and described, but those skilled in the art to which the present invention pertains know that the present invention can be implemented in other specific forms without changing the technical spirit or essential features. You will understand.

For example, the configuration of learning and evaluating the basic job competency and the technology of mapping the configuration in which the field term cloud is learned to the corresponding job classification may be integrated as a concept of linking accumulated data from the past to the present and future. In this case, the configuration disclosed in the claims is

“In a computing device for transaction brokerage,

a job classification unit unit presenting a plurality of classification units;

an input window unit that presents an input window so that job skills can be registered as an index obtained by leveling or scoring a level by ability in at least one job classification among the classification units; and

Including a matching unit that selects and outputs a matched object by reflecting the posted information of the active user and the posted information of the passive user based on the registered job ability,

The leveling or scoring includes a configuration that can be automatically registered as a result of the course or evaluation corresponding to the leveling or scoring, and the course or evaluation is linked to the education and training system of the basic occupational competency database of the National Competency Standards is a composition,

The field term cloud is learned while the keyword included in the posted information of the user is linked to at least one field term cloud, and the field term cloud is mapped to the registered job classification unit. Computing device.”

In the present invention, the business classification based on the industrial technology classification is not separately explained by device and service method, but it is omitted from the description because it is possible to understand the principle that it is commonly interlocked with NCS in a complementary manner.

Also, according to the present invention, a selection menu for a corresponding country and language of the corresponding country may be arranged in the uppermost menu.

Therefore, the above-described embodiments are not limited to each example, and in particular, all changes or modifications derived from the equivalent concept as well as the literal meaning and scope directly designated by the terms of the claims. should be construed as being included in the scope of the present invention.

110: database registration step 120: expert verification step
130: Entrustment request stage 140: Entrustment hope stage
150: Negotiation target calculation step 160: Negotiation information sorting step
170: negotiation information provision step 180: negotiation information provision step
190: negotiation execution stage 200: fee settlement stage
S100: table creation step
S110: Matching Step S120: Matching List Display Step
S130: Registered contents browsing step S140: Personal information authentication step
S200: Use Conditions Satisfaction Step S210: Field Invention Determination Step
S240: Difficulty registration step S250: On-site invention counseling step
S260: On-site invention counseling certification step
a1000, a2000, a3000, a4000, a8000, a9000 : search bar
a1001~a1005, a2001~2005, a3001~3005, a4001~4005, a8001~a8005: Each NCS classification menu window
a9001~a9003: Each industrial technology classification menu window
S100a: Membership registration process
S100b-1 and S100b-2, S100c-1 and S100c-2): (Job Search or Recruitment) Table Registration Procedure
S101: Example of creating a job search table S102: Example of creating a job search table
S110: Automatic matching procedure S120a: Matching list display procedure
S120b: Automatic Notification Notification Procedure S130: (Job Search, Recruitment) Registration Information Provision Procedure
S140a: Procedure for providing detailed information
E2001 ~ E2005: Registration process when seeking a job as an experienced employee
E2001 ~ E2005: Registration process when seeking a job as an experienced employee
E1001 ~ E1010: Registration process when seeking a job as a new employee (linked to basic job skills)
E4001 ~ E4005: Registration procedure when hiring as a career employee
E3001 ~ E3005: Registration procedure when hiring as a new employee (linked to basic job skills)
E5001 ~ E5005: Job automatic matching ranking considering basic job skills
K101 ~ K121: A flowchart explaining the process of creating a field term cloud and keyword library.
K501 ~ K503, K5030 ~ K5035: A screen structure diagram showing the state in which the field term cloud and its subordinate keywords are mapped to the corresponding competency unit.

Claims (11)

delete delete delete delete delete delete delete delete delete A computing device for intermediary linkage of published information,
a job classification unit unit presenting a plurality of classification units;
Job competency as an index obtained by leveling or scoring at least one competency level among the level in the competency unit designated by the active user or the level in the competency unit input by the passive user in at least one job classification among the classification units. An input window is presented to enable this registration, and at least one basic knowledge level of the basic occupational competency unit and evaluation score designated by the active user in at least one job classification among the classification units or the score obtained by the passive user through the evaluation problem An input window unit that presents an input window so that job skills can be registered as indicators leveled or scored; and
The data input from the input window is divided into experienced employees and new employees so that they can be used, respectively, in terms of determining what kind of work you do well and what you want to do or what you want to do. A matching unit that selects and outputs matched objects by reflecting the posted information of active users and the posted information of passive users based on the classification of employees and the registered job skills,
The level data by ability input through the input window includes a configuration in which the career level in the designated competency unit is used as an index and matched as the first priority,
The basic knowledge level data input through the input window is matched with the designated basic occupational ability unit and the one reflecting the evaluation score as the second priority, while taking the rest for the designated basic occupational ability unit or the designated competence unit It includes a configuration that distinguishes and matches experienced employees and new employees by matching those who aspire to the third priority,
In the keywords provided to supplement the contents of the job classification unit, if there is a pre-registered keyword of a previous user, the pre-registered keyword is registered in the field term cloud to which the pre-registered keyword belongs to select the pre-registered keyword, but similarity in registration or selection includes a natural language search construct that compares;
If it is a new keyword without a pre-registered keyword of a preceding user, a new field term cloud is created and registered, or it is learned as a new similarity keyword in the existing field term cloud, but the keyword is a job classification registered in at least one of the input windows and While including a configuration learned through posting information of active users or posting information of passive users, the job classification is changed in at least one of the input window units by linking the learned field term cloud to belong to the registered job classification. Computing device characterized in that it comprises a configuration in which the field term cloud of the lower level is followed and displayed when. According to claim 10,
The leveling or scoring includes a configuration that can be proved by evidence, course attendance, or evaluation results corresponding to the leveling or scoring, and the course or evaluation is linked to the education and training system of the basic occupational competency database of the National Competency Standards. become
While the matching of the experienced employee and the new employee includes different priority steps, the matching of the experienced employee and the new employee operates as a selective independent matching or as a matching concept integrated from the first to the third priority. A computing device comprising at least one of the concurrent configurations.

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