CN103177092A - Data updating method and system of knowledge base and knowledge base - Google Patents

Abstract

A method for updating knowledge base data, which acquires user feedback information on data information, reads the corresponding credibility and feedback times of the data information, and then updates the credibility according to the corresponding credibility, feedback times and feedback information of the data information. Therefore, the credibility of the data information in the knowledge base is not fixed, but updated with reference to the feedback information of users, so that the data information in the knowledge base can be optimized with the improvement of people's awareness. Since the above knowledge base data update method and system make the credibility of the data information in the knowledge base more accurate, the accuracy of data access can be effectively improved when performing data access to the above knowledge base. In addition, the present invention also provides a knowledge base data update method and a knowledge base.

Description

Knowledge base data updating method, system and knowledge base

technical field

The invention relates to data processing technology, in particular to a knowledge base data updating method, system and knowledge base.

Background technique

Knowledge Base, also known as intelligent database or artificial intelligence database. The knowledge base is a structured, easy-to-operate, easy-to-use, comprehensive and organized knowledge cluster in knowledge engineering. It is aimed at the needs of solving problems in a certain (or some) fields, and uses certain (or several) knowledge representation methods in computer memory. A collection of interconnected pieces of knowledge stored, organized, managed, and used in . These pieces of knowledge include domain-related theoretical knowledge, factual data, and heuristic knowledge obtained from expert experience, such as definitions, theorems, algorithms, and common sense knowledge related to a certain domain.

The data information in the knowledge base corresponds to a degree of credibility, which is used to represent the accuracy of the data information. When invoking the data information in the knowledge base, generally select the one with the highest reliability. Traditional knowledge bases are pre-entered by experts with relevant data information based on experience. Therefore, the content and storage structure of the data information in the knowledge base remain unchanged during use. However, due to people's limited level of understanding, the data information pre-input in the knowledge base may not be the most accurate, resulting in changes in the authenticity of the data information in the knowledge base. However, since the content and storage structure of the data information are fixed, when accessing the data information in the knowledge base, the search and screening are still carried out according to the original corresponding credibility of the data information, so that the accuracy of data access is not high.

Contents of the invention

Based on this, it is necessary to provide a knowledge base data update method, system and knowledge base that can effectively improve the accuracy of data access.

A knowledge base data update method, used to update data information in the knowledge base, the data information corresponds to a degree of credibility and feedback times, the method includes the following steps:

Obtain user feedback on the data information;

Read the reliability and feedback times corresponding to the data information;

The credibility is updated according to the credibility corresponding to the data information, the number of feedbacks, and the feedback information.

In one of the embodiments, the manner of updating the credibility according to the credibility corresponding to the data information, the number of feedbacks and the feedback information is:

B=(b*k+c)/(k+1)

Wherein, b and k are respectively the credibility and the number of feedbacks corresponding to the read data information, c is the user's feedback information on the data information, and B is the updated credibility.

In one of the embodiments, after the step of updating the credibility according to the credibility, the number of feedbacks and the feedback information corresponding to the data information, the method further includes:

The data information is reordered according to the degree of credibility.

In one of the embodiments, after the step of updating the credibility according to the credibility, the number of feedbacks and the feedback information corresponding to the data information, the method further includes:

The credibility is compared with a preset threshold, and the data information whose credibility is smaller than the threshold is deleted.

A knowledge base update system, used to update data information in the knowledge base, the data information corresponds to a degree of credibility and feedback times, the system includes:

a feedback receiving module, configured to obtain user feedback on the data information;

A reading module, configured to read the reliability and the number of feedbacks corresponding to the data information;

A credibility updating module, configured to update the credibility according to the credibility corresponding to the data information, the number of feedbacks, and the feedback information.

In one of the embodiments, the way for the credibility update module to update the credibility is:

B=(b*k+c)/(k+1)

Wherein, b and k are respectively the credibility and the number of feedbacks corresponding to the read data information, c is the user's feedback information on the data information, and B is the updated credibility.

In one of the embodiments, a reordering module is further included, and the reordering module is used to reorder the data information according to the degree of credibility.

In one of the embodiments, a data elimination module is further included, the data elimination module is configured to compare the credibility with a preset threshold, and delete data information whose credibility is lower than the threshold.

A knowledge base comprising:

The knowledge base updating system as described in any one of the above preferred embodiments;

A request processing module, configured to receive a processing request from a user, and obtain data information that matches the processing request and has the highest reliability;

A data output module, configured to return the obtained data information to the user.

In one of the embodiments, the request processing module includes:

a matching unit, configured to search the knowledge base for data information matching the processing request;

The selection unit is configured to screen the matched data information and select the data information with the highest reliability.

The above method and system for updating knowledge base data obtains user feedback information on data information, reads the credibility and feedback times corresponding to the data information, and then updates the credibility according to the credibility, feedback times and feedback information corresponding to the data information . Therefore, the credibility of the data information in the knowledge base is not fixed, but updated with reference to the feedback information of users, so that the data information in the knowledge base can be optimized with the improvement of people's awareness. Since the above knowledge base data update method and system make the credibility of the data information in the knowledge base more accurate, the accuracy of data access can be effectively improved when performing data access to the above knowledge base.

Description of drawings

Fig. 1 is a schematic flow diagram of a method for updating knowledge base data in an embodiment of the present invention;

Fig. 2 is a schematic diagram of modules of the knowledge base data update system in one embodiment of the present invention;

Fig. 3 is a schematic diagram of modules of a knowledge base data updating system in another embodiment of the present invention;

Fig. 4 is a schematic diagram of modules of a knowledge base in an embodiment of the present invention.

Detailed ways

Referring to Fig. 1, in one embodiment, a method for updating knowledge base data includes the following steps:

Step S110, acquiring user feedback information on data information.

In one embodiment, when data information is provided to the user, the user may be prompted to input feedback information on the data information. Feedback information is the user's evaluation of the accuracy (that is, credibility) of the data information. For example, display an input box on the user interface and prompt the user to enter a value between 0 and 100%. If the value input by the user is 60%, it means that the user believes that the reliability of the data information is 60%. In addition, multiple options (such as credible, untrustworthy, uncertain, etc.) can be displayed on the user interface, and a quantified numerical value representing the credibility can be set for each option, so that users and specific options can be obtained. The interactive operation obtains the user's feedback information on the data information.

Step S120, read the reliability and feedback times corresponding to the data information.

In one embodiment, the data information in the knowledge base corresponds to a degree of credibility, and when constructing the knowledge base, the designer assigns an initial value to the degree of credibility of each data information according to existing experience. The reliability of each data information is a variable, which can be updated according to the feedback information for the data information. The data information in the knowledge base also corresponds to the number of feedback times, which is the number of times to obtain the user's feedback information on the data information, and the initial value of the number of feedback times is 0. The number of times of feedback is also a variable, and each time the feedback information of the data information is obtained, the number of times of feedback corresponding to the data information is increased by 1 on the original basis.

Therefore, by querying the data information in the knowledge base, the credibility and feedback times of the data information can be obtained.

Step S130, updating the credibility according to the credibility, feedback times and feedback information corresponding to the data information.

Specifically, since the feedback information is an evaluation of the credibility of the data information, after obtaining the feedback information for the data information, it is necessary to reset the corresponding credibility of the data information so that the credibility remains valid . In one embodiment, the manner of updating the credibility according to the credibility, feedback times, and feedback information corresponding to the data information is as follows:

B=(b*k+c)/(k+1)

Wherein, b and k are the credibility and feedback times corresponding to the read data information respectively, c is the feedback information of the user to the data information, and B is the updated credibility.

Further, after the new credibility B is obtained, the credibility corresponding to the data information is updated to B, and the number of feedbacks corresponding to the data information is updated to k+1. When the reliability is updated next time, the read reliability and feedback times will be the updated reliability and feedback times. And so on for subsequent credibility updates.

It should be noted that, the way of updating the credibility is not limited to the above one. For example, in one embodiment, the way to update the credibility according to the credibility, feedback times and feedback information corresponding to the data information is as follows:

B=(b*k*c1+c*c2)/(k*c1+c2), where the meanings of b, k, c, and B are the same as above, and c1, c2 are weights.

In one embodiment, after the above step S130, the above knowledge base data updating method further includes: reordering the data information according to the degree of credibility.

Specifically, in the knowledge base, the data information is stored in descending order of reliability, so that the data information in the knowledge base is ordered. When accessing the data information in the knowledge base, the data information can be queried in descending order of the credibility. When the matching data information is found for the first time, the data information will be the credibility of all the matching data information. Maximum data information. Therefore, it is not necessary to find all matching data information and then perform screening, thereby effectively improving the efficiency of data access.

In one embodiment, after the above step S130, the knowledge base data update method further includes: comparing the credibility with a preset threshold, and deleting data information whose credibility is lower than the threshold.

Specifically, the threshold is preset and represents a critical point. When the reliability of the data information is lower than the threshold, it indicates that the data information may be wrong. When the credibility of the data information is updated, the updated credibility is compared with the threshold, and if the corresponding credibility of the data information is lower than the threshold, the data information is deleted from the knowledge base.

Deleting the data information whose credibility is lower than the threshold from the knowledge base can eliminate wrong data information, so that the data information in the knowledge base is always valid. Moreover, deleting wrong data information can reduce the redundancy of the knowledge base and further save storage space.

Referring to FIG. 2 , in the present invention, a knowledge base updating system 100 includes a feedback receiving module 110 , a reading module 120 and a credibility updating module 130 . in:

The feedback receiving module 110 is used to obtain user feedback information on data information.

In one embodiment, the feedback receiving module 110 may prompt the user to input feedback information on the data information when providing the data information to the user. Feedback information is the user's evaluation of the accuracy (that is, credibility) of the data information. For example, the feedback receiving module 110 displays an input box on the user interface, and prompts the user to input a value between 0% and 100%. If the value input by the user is 60%, it means that the user believes that the reliability of the data information is 60%. In addition, the feedback receiving module 110 can also display multiple options (such as credible, untrustworthy, uncertain, etc.) The user's interactive operation with a specific option obtains the user's feedback on the data information.

The reading module 120 is used to read the reliability and feedback times corresponding to the data information.

In one embodiment, the data information in the knowledge base corresponds to a degree of credibility, and when constructing the knowledge base, the designer assigns an initial value to the degree of credibility of each data information according to existing experience. The reliability of each data information is a variable, which can be updated according to the feedback information for the data information. The data information in the knowledge base also corresponds to the number of feedback times, which is the number of times to obtain the user's feedback information on the data information, and the initial value of the number of feedback times is 0. The number of times of feedback is also a variable, and each time the feedback information of the data information is obtained, the number of times of feedback corresponding to the data information is increased by 1 on the original basis.

Therefore, the reading module 120 can obtain the credibility and feedback times of the data information by querying the knowledge base through the data information.

The credibility updating module 130 is configured to update the credibility according to the credibility, feedback times and feedback information corresponding to the data information.

Specifically, since the feedback information is an evaluation of the credibility of the data information, after obtaining the feedback information for the data information, the credibility update module 130 needs to reset the credibility corresponding to the data information to Keep credibility alive. In one embodiment, the credibility updating module 130 updates the credibility in the following manner:

B=(b*k+c)/(k+1)

Wherein, b and k are the credibility and feedback times corresponding to the read data information respectively, c is the feedback information of the user to the data information, and B is the updated credibility.

Further, after obtaining the new credibility B, the credibility updating module 130 updates the credibility corresponding to the data information to B, and updates the feedback times corresponding to the data information to k+1. When the reliability is updated next time, the read reliability and feedback times will be the updated reliability and feedback times. And so on for subsequent credibility updates.

It should be noted that, the manner of updating the credibility by the credibility updating module 130 is not limited to the above one. For example, in one embodiment, the way for the credibility update module 130 to update the credibility is:

B=(b*k*c1+c*c2)/(k*c1+c2), where the meanings of b, k, c, and B are the same as above, and c1, c2 are weights.

Please refer to FIG. 3 , in another embodiment, the knowledge base data update system 100 further includes a reordering module 140 and a data elimination module 150 . in:

The reordering module 140 is used for reordering the data information according to the degree of credibility.

Specifically, in the knowledge base, the reordering module 140 stores the data information in descending order of reliability, so as to make the data information in the knowledge base orderly. When accessing the data information in the knowledge base, the data information can be queried in descending order of the credibility. When the matching data information is found for the first time, the data information will be the credibility of all the matching data information. Maximum data information. Therefore, it is not necessary to find all matching data information and then perform screening, thereby effectively improving the efficiency of data access.

The data elimination module 150 is used to compare the credibility with a preset threshold, and delete the data information whose credibility is lower than the threshold.

Specifically, the threshold is preset and represents a critical point. When the reliability of the data information is lower than the threshold, it indicates that the data information may be wrong. When the credibility of the data information is updated, the data elimination module 150 compares the updated credibility with the threshold, and if the corresponding credibility of the data information is lower than the threshold, the data information is deleted from the knowledge base .

The data removal module 150 can remove wrong data information, so that the data information in the knowledge base is always valid. Moreover, deleting wrong data information can reduce the redundancy of the knowledge base and further save storage space.

Referring to FIG. 4 , the present invention also provides a knowledge base, which includes a knowledge base update system 100 , a request processing module 200 and a data output module 300 . in:

The request processing module 200 is configured to receive a user's processing request, and obtain data information that matches the processing request and has the highest reliability.

In one embodiment, the request processing module 200 includes a matching unit (not shown in the figure) and a selection unit (not shown in the figure). Among them: the matching unit is used to find the data information matching the processing request in the knowledge base; the selection unit is used to filter the matched data information and select the data information with the highest reliability.

In another embodiment, the knowledge base update system 100 includes a reordering module 140, and the request processing module 200 can sequentially query data information in descending order of reliability. When matching data information is found for the first time, the data information The information is the most credible data information among all matched data information. Therefore, it is not necessary to find all matching data information and then perform screening, thereby effectively improving the efficiency of data access.

The data output module 300 is used to return the acquired data information to the user.

The above method and system for updating knowledge base data obtains user feedback information on data information, reads the credibility and feedback times corresponding to the data information, and then updates the credibility according to the credibility, feedback times and feedback information corresponding to the data information . Therefore, the credibility of the data information in the knowledge base is not fixed, but updated with reference to the feedback information of users, so that the data information in the knowledge base can be optimized with the improvement of people's awareness. Since the above knowledge base data update method and system make the credibility of the data information in the knowledge base more accurate, the accuracy of data access can be effectively improved when performing data access to the above knowledge base.

The above-mentioned embodiments only express several implementation modes of the present invention, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the present invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.

Claims (10)

1. A method for updating knowledge base data, used to update data information in the knowledge base, said data information corresponds to a degree of reliability and the number of times of feedback, it is characterized in that said method comprises the following steps: Obtain user feedback on the data information; Read the reliability and feedback times corresponding to the data information; The credibility is updated according to the credibility corresponding to the data information, the number of feedbacks, and the feedback information. 2. The method for updating knowledge base data according to claim 1, wherein the method for updating the credibility according to the credibility, the number of feedback times and the feedback information corresponding to the data information is: B=(b*k+c)/(k+1) Wherein, b and k are respectively the credibility and the number of feedbacks corresponding to the read data information, c is the user's feedback information on the data information, and B is the updated credibility. 3. The knowledge base data update method according to claim 1, characterized in that, after the step of updating the credibility according to the credibility of the data information, the number of times of feedback and the feedback information, The method also includes: The data information is reordered according to the degree of credibility. 4. The knowledge base data update method according to claim 1 or 3, characterized in that, in the step of updating the credibility according to the credibility of the data information, the number of times of feedback and the feedback information Afterwards, the method also includes: The credibility is compared with a preset threshold, and the data information whose credibility is smaller than the threshold is deleted. 5. A knowledge base update system, used to update data information in the knowledge base, said data information corresponds to a degree of credibility and feedback times, it is characterized in that said system includes: a feedback receiving module, configured to obtain user feedback on the data information; A reading module, configured to read the reliability and the number of feedbacks corresponding to the data information; A credibility updating module, configured to update the credibility according to the credibility corresponding to the data information, the number of feedbacks, and the feedback information. 6. The knowledge base data updating system according to claim 5, characterized in that, the mode for updating the credibility of the credibility updating module is: B=(b*k+c)/(k+1) Wherein, b and k are respectively the credibility and the number of feedbacks corresponding to the read data information, c is the user's feedback information on the data information, and B is the updated credibility. 7. The knowledge base data update system according to claim 5, further comprising a reordering module, which is used to reorder the data information according to the degree of credibility. 8. The knowledge base data update system according to claim 5 or 7, further comprising a data removal module, the data removal module is used to compare the credibility with a preset threshold, and Data information whose credibility is less than the threshold is deleted. 9. A knowledge base, characterized in that it comprises: The knowledge base update system as described in any one of claims 5-8 above; A request processing module, configured to receive a processing request from a user, and obtain data information that matches the processing request and has the highest reliability; A data output module, configured to return the obtained data information to the user. 10. The knowledge base according to claim 9, wherein the request processing module comprises: a matching unit, configured to search the knowledge base for data information matching the processing request; The selection unit is configured to screen the matched data information and select the data information with the highest reliability.

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