KR102047012B1 - Information providing system - Google Patents

Abstract

According to one embodiment of the present invention, provided is an information providing system, which comprises: a clouding server storing data provided by multiple external institution servers; and a comprehensive list search device searching and providing data on a search request of a user in the clouding server. Through the clouding server, the data provided by multiple external institutions is integrated to enable integrated search and the search efficiency can be increased.

Description

Information provision system {INFORMATION PROVIDING SYSTEM}

The present invention relates to an information providing system, and more particularly, to an information providing system for providing collection information of an external organization in response to a user request.

The search engine receives a search word (keyword) from a computer user and tells a list of sites that contain keywords, that is, the computer user can obtain desired information.

However, since existing search engines such as AltaVista, Lycos, Excite, Yahoo, Simmani, etc. are widely used in the database and search method of the recorded information, computer users can search by using one search engine. If no information was obtained, we moved to another search engine and ran the search again.

In addition, when a computer user enters a keyword to search for and combines words by using operators such as "and" and "or", the combination form for each search engine is different, and each combination of search engines changes the combination form. It was very cumbersome because you had to check and enter.

Moreover, when a user actually attempted to access a site obtained as a result of a search, the site was not actually a bad link site, and thus the desired information was not obtained.

One aspect of the present invention provides a system for storing information provided by a plurality of external institution servers in a clouding server, and providing information on a user's search request using the clouding server.

Another aspect of the present invention is to update the clouding server by monitoring data changes in a plurality of external institution server, classify the storage of the clouding server, classify and store in the storage according to the characteristics of the data to update for each storage Provide an information provision system with different cycles.

Another aspect of the present invention provides an information providing system including a service evaluation server for performing an emotional factor evaluation for a provided service.

Another aspect of the present invention provides an information providing system including a development environment management system that periodically updates a history information database for a development environment.

Another aspect of the present invention provides an information providing system including an administrator module for efficiently operating an administrator for maintaining / maintaining a device such as.

Another aspect of the present invention provides an information providing system, some of which may be implemented by artificial intelligence, including a decision reason presentation module for comparing and analyzing results using artificial intelligence.

The technical problem of the present invention is not limited to the technical problem mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

An information providing system according to an embodiment of the present invention provides a clouding server for storing data provided by a plurality of external institution servers, and a comprehensive list search apparatus for searching and providing data for a user's search request from the clouding server. Include.

On the other hand, the information providing system, the update device for collecting the data provided by a plurality of external institution server, stored in the clouding server, and updating the clouding server by monitoring the change of the data of the plurality of external institution server The comprehensive list retrieval apparatus may further include bibliographic information and collection information of data corresponding to a search keyword input through a terminal connected through a communication network in the clouding server, and provide the comprehensive list to the terminal as a comprehensive list. The clouding server includes individual storage which is a database constructed for each of a plurality of external institution servers and group storage which is a database constructed for the entire plurality of external institution servers. The group storage includes bibliographic information and collection information. Each item is categorized as a dynamic item based on changeability or importance. Includes a dynamic storage that is a database constructed for an item, and a static storage that is a database constructed for an item classified as a static item according to changeability or importance in each item of bibliographic information and collection information. Collecting unit that collects bibliographic information and collection information about the data provided by each institution from the external agency server by communicating with the external agency server of, bibliographic information about the data provided by each external agency by communicating with a plurality of external agency server and Monitoring unit that detects a change in the collection information, and detects a change in the bibliographic information and the collection information for the data provided by an external agency, and generates the change as authority information and store in the cloud server , Bibliographic information on the data provided by the external agency server through the collection unit or When collecting the chapter information, check whether or not the items included in the collection information, if the readability of the item is limited to read, the information collected through the collection unit stored in the individual storage of the external institution server, When the item is viewable or not, the information collected through the collection unit is stored in both the individual storage and the group storage of the external institution server, and the information collected through the collection unit is stored in the group storage. Classification unit for dividing and storing in the dynamic storage or the static storage according to the classification result of the dynamic or static items of each item of bibliographic information and collection information, the bibliographic information and the collection of a plurality of external institution server in real time through the monitoring unit Each item of information is monitored for changes to the items classified as dynamic. When the authority information is generated through the monitoring unit, a first updating unit updating the corresponding item of the dynamic storage by using the authority information, bibliographic information and a plurality of external institution servers at intervals of one week or more through the monitoring unit. A second updater for monitoring whether an item classified as a static item is changed among the items of the information, and updating the corresponding item in the static storage by using the authority information when authority information is generated through the monitor; The authority information generated by the department is accumulated and analyzed for each item of bibliographic information and collection information, and the items corresponding to 10% occurrence of authority information in all items of bibliographic information and collection information are classified as static items. Categorize the remainder as dynamic, but generate authority information among the lowest 10% of the occurrences of authority information. For items with an increasing number of items, items that are reclassified from a static item to a dynamic item and whose number of occurrences of authority information decrease among the items in which the number of occurrences of authority information are lower 10% to lower 20% are decreased. In this case, the authority information analysis unit may be reclassified from the dynamic item to the static item.

According to an aspect of the present invention described above, through the cloud server, it is possible to integrate the data provided by a plurality of external organizations to enable integrated search, and increase the search efficiency. In addition, it is possible to collect and share the data of a plurality of external organizations, thereby improving the economics of information activities and access to information resources.

Further, according to another aspect of the present invention, the clouding server may be classified according to the characteristics of the stored data and the update cycle may be changed to increase the overall system efficiency.

In addition, according to another aspect of the present invention, it is possible to manage the quality of the provided service by performing an emotional factor evaluation for the provided service, it is possible to implement a better service.

In addition, according to another aspect of the present invention, it is possible to periodically update the history information database for the development environment to efficiently manage the storage space, thereby reducing the system load.

In addition, according to another aspect of the present invention, it is possible to efficiently operate the manager for maintaining / maintaining the server device including the manager module.

In addition, according to another aspect of the present invention, it can be expected that the optimal solution is derived from the overall perspective by analyzing the causal relationship between the two decisions, including a decision reasoning module, in particular, trust between the user and AI By making possible decisions, feedback from the user in the event of a problem or error can be properly reflected, and the reason for the result presented by the artificial intelligence cannot be clearly explained. It can solve the disbelief that AI can have and can prevent the overfitting problem that the optimal solution in the region can be selected instead of the overall solution in case of excessive learning.

1 is a conceptual diagram illustrating an information providing system according to an embodiment of the present invention.
FIG. 2 is an example of a screen output from the terminal shown in FIG. 1.

DETAILED DESCRIPTION The following detailed description of the invention refers to the accompanying drawings that show, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein may be embodied in other embodiments without departing from the spirit and scope of the invention in connection with one embodiment. In addition, it is to be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. The following detailed description, therefore, is not to be taken in a limiting sense, and the scope of the present invention, if properly described, is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled. Like reference numerals in the drawings refer to the same or similar functions throughout the several aspects.

The information providing system of the present invention stores bibliographic information and holdings information of data provided by a plurality of external organizations in a clouding server, and stores a bibliographic information corresponding to a search keyword in the clouding server. It is a system that retrieves information and collection information and provides them as a comprehensive list.

Here, the bibliographic information may include the author, publication date, summary, document number, etc. of the material, and the collection information may include the name of the institution providing the material, whether or not it can be viewed.

In addition, the information providing system of the present invention can update the clouding server by monitoring in real time whether there is a change in bibliographic information and collection information on data provided by a plurality of external organizations.

As described above, the information providing system of the present invention can integrate the data provided by a plurality of external organizations through the clouding server to enable the integrated search and increase the search efficiency. In addition, it is possible to collect and share the data of a plurality of external organizations, thereby improving the economics of information activities and access to information resources.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings.

1 is a conceptual diagram illustrating an information providing system according to an embodiment of the present invention.

Referring to FIG. 1, an information providing system according to an exemplary embodiment may include an update apparatus 100, a clouding server 200, and a comprehensive list retrieval apparatus 300.

The update apparatus 100 may collect data provided by a plurality of external institution servers, store the data in the clouding server 200, and update the clouding server 200 by monitoring changes of data of the plurality of external institution servers. have.

In the present embodiment, the external institution server is a server that provides various types of information in a specific field, and may provide bibliographic information and collection information on the corresponding information to the updating apparatus 100. Here, the bibliographic information may include the author, publication date, summary, document number, etc. of the material, and the collection information may include the name of the institution providing the material, whether or not it can be viewed.

The clouding server 200 is a general cloud server that stores various data provided by a plurality of external institution servers. The clouding server 200 may provide information stored in various terminals 500 connected through the communication network 400.

In the present embodiment, the terminal 500 may access the comprehensive list retrieval apparatus 300 through the communication network 400, and may access the clouding server 200 from the comprehensive list retrieval apparatus 300 to provide user request information. Can be.

The comprehensive list retrieval apparatus 300 is a system for retrieving bibliographic information and collection information of data corresponding to a search keyword input through the cloud 500 from the cloud server 200 and providing the user with a comprehensive list.

For example, the comprehensive list retrieval apparatus 300 may correspond to a web site that provides an integrated data search function for various external organizations. The comprehensive list retrieval apparatus 300 may correspond to any one of the external institution servers.

Hereinafter, each component shown in FIG. 1 will be described in detail.

The update device 100 may include a collection unit 110, a monitoring unit 120, a classification unit 130, a first update unit 140, a second update unit 150, and an authority information analyzer 160. Can be.

The collector 110 may communicate with a plurality of external institution servers to collect bibliographic information and collection information on data provided by each institution from the external institution server.

The monitoring unit 120 may detect a change in bibliographic information and collection information on data provided by each external institution by communicating with a plurality of external institution servers.

When the monitoring unit 120 detects a change in bibliographic information and collection information on data provided by an external organization, the monitoring unit 120 may generate the corresponding change as authority information, which is then transmitted to the clouding server 200. Can be stored.

For example, the authority information may include changed information among identification information, bibliographic information, and collection information of the changed data.

The classification unit 130 may classify bibliographic information and collection information collected by the collection unit 110 and store the classified information in the clouding server 200.

In the present embodiment, the clouding server 200 may be divided into individual storage 210 and group storage 220. The individual storage 210 is a database built for each external institution server, and the group storage 220 may be a database built for all external institution servers.

In addition, group storage 220 may be divided into dynamic storage 221 and static storage 222. The dynamic storage 221 is a database that is constructed for a high possibility of change of each item of bibliographic information and collection information, or a high importance item, and the static storage 222 is a possibility of change of each item of bibliographic information and collection information. It can be said that the database is constructed for these low items or items of relatively low importance.

When the classification unit 130 collects bibliographic information or collection information from the collection unit 110, the classification unit 130 classifies the database of the information as individual storage 210 or group storage 220, and is classified as group storage 220. In this case, the database of the information may be classified as the dynamic storage 221 or the static storage 222.

For example, the classification unit 130 is a separate storage allocated to the external agency server bibliographic information and collection information for the corresponding data when the availability of the collection information collection items collected by the collection unit 110 is limited to viewing Can be stored at 210.

If the classification unit 130 is viewable whether the items of the collection information collected by the collection unit 110 is viewable, the bibliographic information and the collection information for the corresponding data to the individual storage 210 assigned to the external institution server and It may be stored in the group storage 220.

When the classification unit 130 stores the bibliographic information and the collection information of the data collected by the collection unit 110 in the group storage 220, the dynamic storage 221 and the static storage according to the storage distinguishing information predetermined for each item. It can be divided and stored in (222).

The first updater 140 and the second updater 150 may update the clouding server 200 by generating authority information through the monitor 120. However, the first updater 140 and the second updater 150 may execute only the update of the group storage 220. Since the individual storage 210 is built for each external institution server, the update of the individual storage 210 may be performed at each external institution server.

The first updater 140 may update the dynamic storage 221 among the group storage 220. The first updater 140 may monitor whether or not an item classified as a dynamic item among the bibliographic information and the collection information is changed through the monitoring unit 120 in real time. When authority information is generated for an item classified as a dynamic item among bibliographic information and collection information through the monitoring unit 120, the first updater 140 uses the authority information of the dynamic storage 221. You can update the item.

The second updater 150 may update the static storage 222 of the group storage 220. The second updater 150 may monitor whether the item classified as a static item among the bibliographic information and the collection information is changed through the monitoring unit 120 at intervals of one week or more. When the authority information is generated for the item classified as the static item among the bibliographic information and the collection information through the monitoring unit 120, the second updater 150 uses the authority information to display the static storage 222. You can update the item.

The authority information analyzer 160 may set the dynamic item and the static item by analyzing the authority information generated by the monitoring unit 120.

The authority information analysis unit 160 may accumulate generation of authority information for each item of bibliographic information and collection information. For example, the authority information analyzer 160 may accumulate the authority information generation date and the number of occurrences of the first item of the bibliographic information.

The authority information analyzing unit 160 may classify the items corresponding to the lower 10% of the occurrences of authority information as static items and classify the remainder as dynamic items in all items.

Alternatively, the authority information analyzer 160 may classify items corresponding to the lowest 10% of the authority information within the last month as static items, and classify the remainder as dynamic items.

Alternatively, the authority information analyzer 160 may reclassify the static items into the dynamic items in the case of items having a trend in which the number of occurrences of authority information increases among items in which the number of occurrences of authority information corresponds to the lower 10%.

Alternatively, the authority information analyzer 160 may reclassify a dynamic item into a static item when the number of occurrences of authority information decreases in the number of occurrences of authority information among items corresponding to the lower 10% to the lower 20%. can do.

FIG. 2 is an example of a screen output from the terminal shown in FIG. 1.

Referring to FIG. 2, the terminal 500 may access the comprehensive list search apparatus 300 through the communication network 400 and output a data search web site provided by the comprehensive list search apparatus 300.

The comprehensive list search apparatus 300 may receive a search word 1 from a user through the terminal 500 and access the clouding server 200 to search for the search word 1.

The comprehensive list search apparatus 300 may provide a comprehensive list by listing the bibliographic information 5 and the collection information 3 matching the search word 1 in the clouding server 200.

The information providing system having the configuration as described above may further include a service evaluation server (not shown in the drawings for convenience of description).

The service evaluation server transmits an evaluation questionnaire related to the evaluation target service to the user user terminal, receives a response to the evaluation questionnaire through the user user terminal, and evaluates an emotional element of the evaluation target service provided by the user.

According to an embodiment of the present invention, the service evaluation server may manage the emotional quality of the evaluation target service by receiving feedback on the evaluation target service from the user of the evaluation target service. That is, the service evaluation server according to an embodiment of the present invention may manage the quality of the evaluation target service by evaluating emotional factors such as the usability and the merchandise of the evaluation target service.

In particular, the service evaluation server according to an embodiment of the present invention not only evaluates an emotional element of the evaluation target service based on a questionnaire response written by the user of the evaluation target service, but also analyzes the response details of the evaluation target service to evaluate the service. Assess the emotional component of Here, the service evaluation server according to an embodiment of the present invention may use the analysis result of the response history of the evaluation target service to verify the validity of the questionnaire response written by the corresponding user.

Accordingly, the service evaluation server according to an embodiment of the present invention can increase the accuracy of quality control based on the evaluation of the emotional elements of the service, and can further achieve the effects of marketability and product complementation.

In an embodiment, the service evaluation server may transmit an evaluation questionnaire to the user terminal and receive a response to evaluate the emotional element of the service to be evaluated. In addition, the service evaluation server may receive a questionnaire response of the evaluation target service from the user terminal to evaluate the emotional element of the evaluation target service. In addition, the service evaluation server may store various indices necessary for evaluating the emotional element of the service to be evaluated, and may include a database for temporarily storing input / output data.

The service quality management method in the service evaluation server will be described in more detail below.

In one embodiment, the service evaluation server may include an evaluation questionnaire providing unit, a service response analysis unit, and a service quality management unit (each configuration is not shown in the drawings for convenience of description).

The evaluation questionnaire provider may request a response to the evaluation questionnaire by outputting an evaluation questionnaire for service evaluation in the user terminal.

For example, the evaluation questionnaire providing unit may control the evaluation questionnaire to be output from the user terminal when the evaluation target service in the user terminal is terminated. The evaluation questionnaire may include at least one question for evaluating the emotional component of the service. Although an evaluation questionnaire is configured to request a response to a questionnaire in a subjective manner, an evaluation questionnaire may be configured in a multiple choice form to select at least one answer based on the genre of the service to be evaluated and the age of the user. Of course you can.

The evaluation questionnaire providing unit may obtain a response input through the user terminal with respect to the evaluation questionnaire, and deliver the response to the service quality management unit, which will be described later.

The evaluation questionnaire providing unit may check an item in which a response is not input in the evaluation questionnaire including at least one item. The evaluation questionnaire providing unit may re-request a response to the corresponding item to the user terminal when an item of the evaluation questionnaire including at least one item is not inputted.

For example, the evaluation questionnaire providing unit may re-request a response to the corresponding item for a first time to the user terminal when an item for which no response is input in the evaluation questionnaire is 1/3 or less of all items.

When the first time elapses, the evaluation questionnaire provider may transmit the evaluation questionnaire data to a service response analyzer, which will be described later, regardless of whether a response of an item for which a response is not input is input. This is because the service response analysis unit analyzes the response history, infers a response to an item for which no response is input, and verifies the reliability of the evaluation questionnaire. A detailed description thereof will be provided later.

The evaluation questionnaire provider may re-request a response to the corresponding item for a second time to the user terminal when the item in which the response is not input in the evaluation questionnaire is 1/2 or more of all items. The second time may be longer than the first time.

When the second time elapses, the evaluation questionnaire provider may check an item in which a response is input among items in which a response is not input.

The evaluation questionnaire provider transmits the evaluation questionnaire data to the service response analysis unit to be described later only when the response response request for re-requesting the evaluation questionnaire is 1/2 or more among the items for which no response is entered, and vice versa. Data can be discarded. As described above, the service response analysis unit analyzes the response history and infers a response to an item for which no response is entered in the evaluation questionnaire. When there are too many items for which no response is entered in the evaluation questionnaire, quality management of the evaluation service by the evaluation questionnaire is performed. This is because the reliability of.

As such, the evaluation questionnaire providing unit controls the output of the evaluation questionnaire including at least one item capable of evaluating the emotional element of the evaluation target service to the user terminal, and receives the response of the evaluation questionnaire from the user terminal to provide the corresponding evaluation questionnaire data. The response analysis unit may be provided, and the response of the evaluation questionnaire may be re-requested to the user terminal according to the number of response items of the evaluation questionnaire.

The service response analyzer may analyze the service by receiving the response details from the user terminal. The service response analyzer may infer a response to an item for which a response is not input in the evaluation questionnaire according to a result of analyzing the response history of the user, and verify the validity of the evaluation questionnaire.

The service response analyzer may calculate the frequency of appearance of the positive word and the negative word by analyzing the response history for each item of the evaluation response received from the user terminal. To this end, the service response analyzer may preselect and store at least one positive word and at least one negative word. For example, a positive word may be a word related to satisfaction or recommendation, and a negative word may be a word related to disappointment. The service response analysis unit analyzes the response history of each evaluation response of the evaluation target service, and calculates the frequency of appearance of the positive and negative words by counting the number of times when a word classified as a positive word or a negative word appears. have.

The service response analysis unit may analyze that if the frequency of the positive words is more frequent than the frequency of the negative words in each response history of the service to be evaluated, the user's emotional factor for the service to be evaluated is positive. On the contrary, it can be analyzed that the emotional factor of the service to be evaluated by the user is negative.

Alternatively, the service response analyzer may analyze the response history to determine whether a word related to a predetermined emotional factor evaluation appears. If a word related to the evaluation appears in the response history, the service response analyzer may predict the user's opinion on the emotional element by checking the before and after words.

As such, the service response analyzer analyzes the response history of the user to predict positive or negative user's emotional factors with respect to the service to be evaluated. Alternatively, the service response analyzer may predict a user's opinion on a predetermined emotional element in a positive or negative manner.

The service response analyzer may infer a response to an item for which a response is not input in the evaluation questionnaire using the response history analysis result of the user.

For example, the service response analyzer may infer the response of the evaluation questionnaire item in which the response is not input as a preset positive example response when the emotional factor of the user is positive for the service to be evaluated.

On the other hand, the service response analyzer may infer a response to an item for which no response is entered in the evaluation questionnaire, using the user's age, gender, service area, etc., if the user's emotional component is not predicted for the service to be evaluated. . Inferring a response using a user's age, gender, service area, etc., infers a response from another user having the same age, gender, service area, etc. as the corresponding user's response.

Here, the service response analyzer may suspend a user's positive or negative prediction for the evaluation target service when a difference between the frequency of appearance of a negative word and the frequency of appearance of a positive word is less than or equal to a preset reference value in each response history of the evaluation target service.

As such, the service response analyzer may infer a response to an item for which a response is not input in the evaluation questionnaire using at least one of a user's emotional factor analysis result, an age, a gender, and a service area for the service to be evaluated.

The service response analyzer may verify the validity of the evaluation questionnaire responded by the user by using the response history analysis result of the user.

For example, the service response analyzer may classify the expected response for each item of the evaluation questionnaire into positive or negative and store it in advance. The service response analysis unit checks whether the response of the evaluation questionnaire prepared by the user is classified as positive or negative, and matches the two results by confirming whether the user's emotional factors for the corresponding service are classified as positive or negative as a result of analyzing the response history of the user. can do. The service response analyzer may assign a response validity score of the corresponding user according to whether the classification of the response of the evaluation questionnaire created by the user matches the classification of the positive or negative response analysis result. That is, for each item of the evaluation questionnaire, the service response analysis unit adds the response validity score of the user when the positive or negative classification of the response made by the user and the positive or negative classification of the response history analysis result of the user match, and vice versa. In this case, the response validity score of the corresponding user may be given by subtracting the response validity score of the corresponding user.

The service quality management unit may present an evaluation questionnaire response prepared by the user to the evaluator.

The service quality management unit may present a separate mark on the item inferred from the evaluation questionnaire response by the service response analysis unit to the evaluator. At this time, the service quality management department may also present the reasoning for the evaluation questionnaire response.

The quality of service management unit may present the response validity score of the user to the evaluator.

Accordingly, the evaluator can check the evaluation questionnaire where all the responses are completed and can perform quality control by evaluating the emotional factors for the service to be evaluated.

The information providing system having the configuration as described above may be implemented on a development environment management system (not shown in the drawings for convenience of description).

The development environment uses a number of development systems for software development by a number of developers, and each development system can develop and directly manage software components and software under developer control. Each development system uses the Trusted Platform Module (TPM) standard technology, which allows software components to be used only in licensed development systems. The Trust Platform Module (TPM) is a kind of security device that can generate and manage security keys for data encryption.

The development environment management system may restrict a developer's authority to use a software component and perform security authentication on a development system used by the developer.

When the development environment management system receives the software component generation or modification permission request message from the development system, the development environment management system may process the software component generation or modification permission request message by checking the authority information of the development system.

Here, the software component may be configured to include at least one of source code, binary including debugging information, pure binary not including debugging information, documentation for detailed description of the code, and process equation model for understanding the code. Can be.

The right information may include at least one of a read right for reading a software component, a storage right for creating and modifying a software component, and a right adjusting authority for adjusting the right information.

When a software component is generated or modified by any one development system that satisfies the authority information, the development environment management system may control the development environment management so that it can be shared by other development systems. This is because a module built by one development system may need to be used in another development system.

The development environment management system can build a database that stores the history of creation or modification of these software components. This is because the historical information can track step-by-step how the value of a particular variable has changed, and can also determine how that particular variable has affected the value change of any other variable.

Specifically, the development environment management system includes a type of software component, whether to create / modify the software component, the date of creation / modification of the software component, the frequency of generation / modification of the software component, and the development to create / modify the software component. The history information may be generated including the authority information of the system.

The development environment management system may assign an index every time the history information is generated and store it in the history information database.

At this time, the development environment management system may build a history information database for each type of software component. That is, the development environment management system may build a history information database according to the importance of the software component, and the history information database of the software component corresponding to the most important type is used in the database update target for storage space management as described below. May be excluded.

Alternatively, the development environment management system may build a history information database for each creation / modification date of the software component. For example, the development environment management system may construct a history information database of a specific date, and exclude the corresponding history information database from a database update target.

Alternatively, the development environment management system may build a history information database for each authority information. For example, the development environment management system establishes a history information database of software components by the development system corresponding to the authority adjustment authority that can adjust the authority information regarded as the highest authority information, and excludes the history information database from the database update target. You can.

The development environment management system may update the history information database for efficient storage space management as described above.

Specifically, the development environment management system may perform update of the history information database when the index of the history information database reaches a preset index.

For example, the development environment management system may divide the entire index of the history information database into three sections in ascending order.

The development environment management system may unconditionally delete history information corresponding to a section including the lowest index among the three sections. The history information corresponding to the section may be considered to have elapsed a long time since the creation / modification date, and since the history information is unlikely to be referenced again, it may be deleted without conditions.

The development environment management system may update the history information corresponding to the middle of three sections by determining whether to delete or maintain the information according to the type of software component. That is, the development environment management system can classify the importance according to the type of software component, and keep only the history information corresponding to the type of software component having the highest importance among the history information corresponding to the middle section among the three sections, and the remaining history. The history information database can be updated by deleting all the information.

Alternatively, the development environment management system may update the history information corresponding to the middle section among the three sections by determining whether to delete or maintain the information according to the frequency of creation / modification of the software component. That is, the history information database may be updated by deleting all the history information whose generation / modification frequency is higher than the preset reference frequency among the history information corresponding to the middle section among the three sections and maintaining the remaining history information.

Alternatively, the development environment management system may update the history information corresponding to the middle section among the three sections by determining whether to delete or maintain the information according to the authority information of the development system. That is, the history information, which is the authority adjustment authority that can adjust the authority information of which the authority information is regarded as the highest authority information among the history information corresponding to the middle section of the three sections, is kept intact, and all remaining history information is deleted. The history information database can be updated.

The development environment management system may maintain the history information corresponding to the section including the highest index among the three sections. The history information corresponding to the section may be regarded as the date of creation / modification is relatively recent, and thus the history information may be maintained as it is highly likely to be referred to again.

The information providing system that performs the functions as described above may include an administrator management module (not shown in the drawings for convenience of description) for assisting in efficiently operating an administrator for maintaining and maintaining a device such as a server. Can be.

In one embodiment, the manager management module may generate a list of managers listed according to the order in which they are input.

That is, the manager management module selects a manager that is first input as a priority manager according to the order in which the module is registered, regardless of the manager's management ability, and selects a manager who is next to the highest manager as the next manager. The manager input next to the next manager is recognized as the third manager.

In an embodiment, when an event of maintenance / repair of a device occurs, the manager management module may select a manager to resolve the event from among the managers included in the previously created manager list and request a solution.

To this end, the manager management module should register manager information (for example, a phone number, a home address, etc.) of registered managers for each manager.

If the administrator selected by the administrator management module resolves the event, the manager will be given points for resolving the event. If the administrator fails to resolve the event, another administrator who will resolve the event will be included in the previously created administrator list. You will be asked to select one of the managers.

The manager may be selected at random according to the manager management module as described above. However, the manager may be randomly selected without a separate rank. However, as shown below, the manager may be ranked in order to more efficiently respond to event resolution.

Priority selection of manager selection according to the manager management module is as follows.

First, the highest priority among the managers included in the manager list (at this time, the highest priority of the manager list created first is not selected according to the superiority of the manager's management ability as described above, but simply according to the rank added to the manager list). Will be requested to resolve the event.

At this time, if the first selected administrator cannot resolve the event or if the event is not resolved, the same resolution request is sent to the manager listed in the next order, and the process proceeds until the event is resolved. .

When a specific manager resolves the event, the manager selection process is interrupted and the manager is given points based on event resolution.

When the point assignment is completed, the manager management module updates the minimum generated manager list. In this case, the given point is considered according to the event resolution when determining the rank between the managers.

As a result, even the managers who were placed in the lower rank may be increased to the rank due to the points awarded according to the resolution of a specific event. Event resolution will push the manager down.

The information providing system that performs the function as described above uses the points given to the managers included in the list generated by the manager management module to evaluate the manager's capabilities to solve the event of the device in which the event is generated. An administrator evaluation module (not shown in the drawings for convenience of description) may be further included to select a more suitable manager.

In an embodiment, the manager evaluation module may add points of preset scores to the manager who resolved the event according to the number of times the event has been participated in the event resolution.

For example, if an administrator named A participates in a repair event that occurred on a specific device and performs the event, he or she will receive 10 points, and then participates in a repair event that occurred on another device to perform the event. In this case, according to this, if 10 points are given, the A rank is determined through a total of 20 points.

However, at this time, points given according to event resolution are not equally calculated for all events, and mobilization may be calculated differently for each event according to the degree of labor required according to expertise or event resolution required for event resolution.

For example, an event that does not require special labor or expertise, such as simply patrolling a device, calculates one point, a relatively low score for resolving the event. If it is not possible to expect a solution, and high-skilled personnel need input, it is possible to calculate the height of points given according to the difficulty of maintenance, such as giving a relatively high score of 10 points.

In this case, when the same event as that of the existing device is generated for another device of the same type, the event management request is first transmitted to the manager who resolved the event of the existing device by the above-described manager management module. If the solution is resolved, the manager evaluation module will assign points accordingly.

According to an embodiment, the above-described manager management module may separately generate a manager list for each device so as to select an administrator having more expertise in the corresponding device for each device.

The information providing system that performs the functions as described above, when a new equipment is introduced into the system, updates the manager list previously generated by the manager management module as described above to efficiently perform the new equipment. It may further include a list update module (not shown in the drawings for convenience of description).

In one embodiment, the list updating module reads the presence or absence of the newly introduced device, maintains the previously created list if there is no newly introduced device, and displays the previously created list if the newly introduced device exists. The following procedure is performed to perform the update.

First, the list update module reads the presence or absence of an administrator with prior knowledge related to the newly introduced device.

At this time, the determination of the presence or absence of prior knowledge can be confirmed by reading the manager information stored by the manager management module.

If there is an administrator who has prior knowledge related to the newly introduced device in the previously created list, the device in the previously created list can be sent to the administrator to send an event resolution request with the highest priority when an event occurs in the corresponding device. The managers who have expertise in know-how will be updated to the highest priority list to update the list to be created.

If there is no administrator who has prior knowledge related to the newly introduced device in the previously created list, the device having the highest similarity with the corresponding device is read and the prior knowledge related to the device having the highest similarity is read. If there is a manager who has a manager, the manager who has the know-how on the device with the highest similarity in the list created in advance will be given the highest priority so that the manager can send the event resolution request first when an event occurs on the newly introduced equipment. By increasing the rank, the list to be created is updated.

Therefore, although not having expertise in each of the newly-introduced devices, the manager who specializes in the device with the highest similarity to the newly-introduced device is required to perform maintenance, so that the new manager can be maintained to maintain and maintain the new equipment. This can save you the trouble of sorting and scouting.

Some of the configuration of the information providing system having the configuration as described above may be implemented by artificial intelligence, and may further include a decision reason presentation module (not shown in the drawings for convenience of description).

For example, in FIG. 1, when the classification unit 130 collects bibliographic information or collection information on data provided by an external institution server through the collection unit 110, the clouding server to store the information by artificial intelligence. The space of 200 may be classified.

The decision reason presentation module not only categorizes and predicts the data given or input by the user, but also analyzes the causality of the decision to find the appropriate basis for the reason why the result is presented by AI. The reason can be explained at the user level. The decision reasoning module enables reliable decision making between the user and AI, so that feedback from the user can be appropriately reflected in case of problems or errors. In addition, by providing a decision reason module, it is possible to solve the distrust that a user may have in artificial intelligence because the reason for the result of the artificial intelligence cannot be clearly explained. In this way, the overfitting problem that the optimal solution in the region can be selected, rather than the overall solution, can be prevented.

In one embodiment, the decision reason presentation module may further include a model building module and a reason explanation interface module. The model building module may be implemented as an in-depth explanatory learning module, an interpretable model generation module, and a model induction module.

The deep description learning module is a modified deep learning technique that allows the deep neural network to learn descriptive features. You can train nodes in the hidden layer to represent meaningful attributes, for example, if you are learning a model that distinguishes the image of the arms and legs, then each hidden node is a fingernail or toenail, a finger or toe, a palm or sole. By learning to show the location, etc., when the model determines that an image is a hand, the active hidden node can provide the basis for the decision. The basis of this determination may be expressed verbally through a natural language generation model such as RNN (Recurrent Neural Network). RNN is a model of deep learning, which is a kind of artificial neural network, for learning data that changes with time, such as time series data, and using input control vector, forgetting vector, and output control vector to input and output data. Get In the input control vector, the input signal receives the value after passing through the connection layer with the activation function, and the forgetting vector reflects a part of the past input to the current input. The output adjustment vector takes in the values using the activation function taking into account the past values and the modified input values. The final result is then returned to input. The circulatory neural network is mainly used for classifying document emotions or recognizing handwritten text, and can also be mainly used for speech recognition, time series prediction, or waveform generation. This is because the input data can be processed in a proper order even if the input data has a fixed shape without an order.

Also, in an embodiment, the in-depth learning module may visually display a part based on the image. For example, if the AI system classifies a cat image, the existing system derives only the cat whether the input image is a cat, but the in-depth learning module derives whether the cat is a cat and uses the basis (hair, beard, etc.) of the image. Can be provided to

The interpretable model generation module can construct structured data into an interpretable causal model. According to an embodiment of the present disclosure, an interpretable model generation module may be constructed using Bayesian program learning (BPL), and BPL is a method of learning to express a combination of small pieces, for example, learning a model that generates letters. When you do this, divide the letters into strokes to create the most reasonable combination of strokes. BPL can mimic a human being without a large amount of data, and it is an evolution of the Neural Network that can change the probability value based on a new event given. In other words, the BPL not only changes the weights of the virtual variables, but also includes creating another virtual variable in the middle. Given a new environment, understanding the phenomena in a different way, for example, toss a coin 100 times and face the front 60 times and the back 40 times to get a 60% chance of coming out, then the next time the back comes out. The probability of heading out is reduced to 59.4%.

In addition, in one embodiment, the interpretable model generation module may be implemented through a probabilistic approach. The probabilistic approach can be a learning effect with just a few samples, for example showing a long chair and a short chair to learn that there are also middle chairs. In other words, it is a technique of learning by filling out the insufficient data by itself. According to an embodiment, the probabilistic approach may include a function of correcting probabilities and programs by mathematical calculations.

Also, in one embodiment, the interpretable model generation module may be implemented using And-Or-Graph. And-Or-Graph is a graph showing the condition and conclusion of rule and AND / OR relationship in the form of graph. And-Or-Graph is structured intermediate and final data derived from artificial intelligence to logically determine the model decision process. There is an advantage that is easy to explain. That is, the graph is represented by an AND node and an OR node. Both AND nodes must be processed and only one OR node can be finished. By using the AND / OR graph, you can see a set of rules interspersed with each other as a structure and easily grasp the logical relationship between each sentence.

The model induction module can infer any black box model into a descriptive model. In one embodiment, the model induction module can be implemented with local interpretable model-agnostic explanations (LIME), which make the arbitrary black box model locally descriptive through sparse linear coupling around already descriptive data. Can be. For example, if a black box model that categorizes an image determines that an image is a heart, it is a description of the other model's heart that can already be described, that is, what part of the image is determined by comparing the pixels representing the heart with a given image. Can present

In addition, in one embodiment, the model induction module may be implemented as Bayesian rule lists (BRLs) that express the model as a series of if-then conditional statements. BRL breaks down high-dimensional, multivariate feature spaces into simple, already interpretable conditional statements to help understand complex models.

The above-described in-depth learning module, an interpretable model generation module, and a model induction module may operate independently of each other or in combination with each other, and their implementation order may also vary according to embodiments.

Next, the reason explanation interface module may express the description of the AI decision in a manner that can be understood by the user. Reason description The interface module may include necessary descriptions such as repeated descriptions, all necessary descriptions, no unnecessary descriptions, and appropriate amounts. That is, the user can easily provide the user with the language, tables, images, graphs, formulas, and the like, which process and the reason that the artificial intelligence has obtained the final result, and what factors or data influenced each step. .

Also, the reason explanation interface module may receive a correction command of the user. To this end, the reason description interface module may include correctability as essential items such that the description is flexible, respects the user's feedback, and observes the gradual change. The user can evaluate and develop the effect of the reason explanation interface module by receiving feedback about the clarity and utilization of the explanation.

In another embodiment, the decision reason presentation module may be formed of a causal model. The causal model may be formed to combine deep learning and Markov random fields. First, the probability distribution of the deep Markov random field model is modeled from the training data, and the structure of the Markov random field representing conditional independence between the random variables is studied. By inferring the latent function of the structured Markov random field into a deep neural network, it is possible to alleviate the problem of exponentially increasing the number of parameters required for the latent function as the number of input variables increases. Can learn associations According to an exemplary embodiment, the class classification problem may be learned like an auxiliary task, an attribute, and a super category, and then linearly combined at the output stage to enable an effective expression. It can also include interactive learning algorithms that allow a person to confirm that the causal relationship has been learned correctly and to provide feedback and make corrections.

In another embodiment, the decision reason presentation module may be implemented as an analysis module. As a technique for regressing a time series function into a multivariate Gaussian based on various kernels, we can learn the optimal kernel combinations representing the kernels in Gaussian processes and explain the given time series data based on the kernel combinations found above. Furthermore, a combination of a kernel that is expressed in common even when there is a plurality of time series data and a kernel that expresses characteristics of each time series data may be learned to describe characteristics common to a plurality of time series data. By writing the kernel combinations found through the time series data analysis model in natural language, the user can explain the process of deriving the decision made by artificial intelligence and the reason for it in natural language.

Through the module of presenting the decision reason, it is possible to visualize and textify the AI decision-making process from the user's point of view, to explain the components involved in the decision-making process, and to analyze the causes of the correlation between complex models. Can be explained by dividing into elements and result elements. In particular, it is written in the form of automatic reports that can be easily understood by the user, so that the artificial intelligence can interact with humans more precisely by providing the reason as well as the result of analyzing the data.

Such an information providing system may be embodied in the form of program instructions that may be implemented as an application or executed through various computer components, and recorded on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.

The program instructions recorded on the computer-readable recording medium are those specially designed and configured for the present invention, and may be known and available to those skilled in the computer software arts.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, and magneto-optical media such as floptical disks. media), and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like.

Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform the process according to the invention, and vice versa.

Although the above has been described with reference to the embodiments, those skilled in the art will understand that various modifications and changes can be made without departing from the spirit and scope of the invention as set forth in the claims below. Could be.

100: update device
200: cloud server
300: comprehensive list search device
400: network
500: mobile terminal

Claims (2)

In the information providing system,
A clouding server storing data provided by a plurality of external institution servers; And
A comprehensive list search apparatus for searching and providing data on a search request of a user in the clouding server; And
And an updater that collects data provided by a plurality of external institution servers, stores the data in the clouding server, and updates the clouding server by monitoring changes of data of the plurality of external institution servers.
The comprehensive list search device,
The bibliographic server searches bibliographic information and collection information of the data corresponding to the search keyword input through the terminal connected through the communication network and provides the terminal as a comprehensive list.
The clouding server,
Individual storage which is a database constructed for each of a plurality of external institution servers; And
Group storage, which is a database that is built for a plurality of external institution servers as a whole,
The group storage,
Dynamic storage, which is a database constructed for items classified as dynamic items according to changeability or importance in each item of bibliographic information and collection information; And
Static storage, which is a database constructed for items classified as static items according to the possibility of change or importance in each item of bibliographic information and collection information;
The update device,
A collection unit which communicates with a plurality of external institution servers and collects bibliographic information and collection information on data provided by each institution from an external institution server;
Communication with multiple external agency servers detects changes in bibliographic information and collection information on materials provided by each external organization, and changes in case of detecting changes in bibliographic information and collection information on materials provided by external agencies. A monitoring unit generating matters as authority information and storing them in the clouding server;
When collecting bibliographic information or collection information on data provided by an external institution server through the collection unit, the space of the clouding server to store the bibliographic information or collection information by artificial intelligence, but included in the corresponding collection information Check whether the item is viewable, and if the item is viewable, the information collected through the collection unit is stored in the individual storage of the external institution server, and if the item is viewable, the collection unit In the case of storing the information collected through both the individual storage and the group storage of the external institution server, the information collected through the collection unit in the group storage, the dynamic or static of each item of bibliographic information and collection information According to the classification result of the item divided into the dynamic storage or the static storage Chapter classification unit;
Monitor whether or not the item classified as a dynamic item among the bibliographic information and the collection information is changed to a plurality of external institution servers in real time through the monitoring unit, and when authority information is generated through the monitoring unit, authority information is used. A first updater to update the corresponding item of the dynamic storage;
Monitor whether or not the item classified as a static item among the bibliographic information and the collection information is changed to a plurality of external institution servers at intervals of one week or more through the monitoring unit, and when authority information is generated through the monitoring unit, authority information A second updater for updating a corresponding item of the static storage by using; And
The authority information generated by the monitoring unit is accumulated and analyzed for each item of bibliographic information and collection information, and the items corresponding to 10% of occurrences of authority information in all items of bibliographic information and collection information are classified as static items. And classify the remainder as dynamic items, but for items with the trend that the number of occurrences of authority information increases among the items in which the number of occurrences of authority information is the lower 10%, reclassify them as static items from dynamic items, and And an authority information analysis unit for reclassifying a dynamic item into a static item in case of an item having a trend in which the number of occurrences of authority information decreases among items whose occurrence number of information is lower 10% to lower 20%.
The information providing system,
Further comprising: an administrator management module for managing an administrator for maintaining the server device,
The manager management module,
Create an administrator list by listing the administrators registered as modules in order, and when an event of maintenance / maintenance of the server device occurs, select an administrator to resolve the event from among the administrators included in the administrator list, and request a solution. If the selected manager resolves the event, the manager is given points according to event resolution, and the manager list is updated in consideration of manager-specific points.
The information providing system,
And a manager evaluation module for evaluating the manager by assigning points to the manager.
The manager evaluation module,
According to the number of times that the event is resolved, the manager who resolved the event is given points of preset scores, but the scores that are preset for each event are added according to the degree of expertise or labor required for the event resolution.
The information providing system,
And a list updating module for updating the manager list.
The list update module,
Check whether there is a server device newly introduced to the server device, if there is no server device newly introduced, maintain the administrator list as it is, and if there is a server device newly introduced, the dictionary associated with the newly introduced device An information providing system that reads the presence of a knowledgeable manager, and if there is a manager with prior knowledge related to the newly introduced device, updates the manager list by raising the rank of the manager to the highest priority.
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