CN111858965A - Knowledge base generation method and device - Google Patents
Knowledge base generation method and device Download PDFInfo
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- CN111858965A CN111858965A CN202010772276.7A CN202010772276A CN111858965A CN 111858965 A CN111858965 A CN 111858965A CN 202010772276 A CN202010772276 A CN 202010772276A CN 111858965 A CN111858965 A CN 111858965A
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- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
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- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3325—Reformulation based on results of preceding query
- G06F16/3326—Reformulation based on results of preceding query using relevance feedback from the user, e.g. relevance feedback on documents, documents sets, document terms or passages
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- G06F16/33—Querying
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Abstract
The invention provides a knowledge base generation method and a knowledge base generation device, which relate to the technical field of data processing, and the method comprises the following steps: acquiring knowledge according to a knowledge splitting template to obtain an initial knowledge base; and acquiring interaction parameters, and updating the initial knowledge base according to the interaction parameters to obtain a knowledge base generation result. The knowledge is acquired according to the knowledge splitting template, the acquisition efficiency of the knowledge can be improved, the initial knowledge base is updated through the interaction parameters, the knowledge is updated and the invisible knowledge is mined in an interactive mode, and a more complete knowledge base can be obtained.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a knowledge base generation method and device.
Background
The bank customer service personnel exchange information with the user by means of the knowledge base. Therefore, an intelligent knowledge base is an external unified caliber of customer service personnel and is also an important tool for bank knowledge accumulation and precipitation. However, the knowledge of banks involves a variety of data categories and the amount of data is enormous. No better solution has been proposed for how to build a more complete knowledge base.
Disclosure of Invention
The invention provides a knowledge base generation method and a knowledge base generation device, which can improve the generation efficiency of a knowledge base and the completeness of the knowledge base.
In a first aspect, an embodiment of the present invention provides a knowledge base generation method, where the method includes: acquiring knowledge according to a knowledge splitting template to obtain an initial knowledge base; and acquiring interaction parameters, and updating the initial knowledge base according to the interaction parameters to obtain a knowledge base generation result.
In a second aspect, an embodiment of the present invention further provides a knowledge base generation apparatus, where the apparatus includes: the acquisition module is used for acquiring knowledge according to the knowledge splitting template to obtain an initial knowledge base; and the updating module is used for acquiring interaction parameters, updating the initial knowledge base according to the interaction parameters and obtaining a knowledge base generation result.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the knowledge base generation method when executing the computer program.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the above knowledge base generation method is stored in the computer-readable storage medium.
The embodiment of the invention has the following beneficial effects: the embodiment of the invention provides a knowledge base generation scheme, which obtains knowledge through a knowledge splitting template to obtain an initial knowledge base, then obtains interaction parameters, and updates the initial knowledge base according to the interaction parameters to obtain a knowledge base generation result. The embodiment of the invention acquires knowledge according to the knowledge splitting template, can improve the acquisition efficiency of the knowledge, and updates the initial knowledge base through the interaction parameters, thereby realizing the updating and the invisible knowledge mining of the knowledge through the interaction mode and obtaining a more complete knowledge base.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a knowledge base generation method provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of a knowledge template provided by an embodiment of the invention;
fig. 3 is a block diagram of a knowledge base generating apparatus according to an embodiment of the present invention;
FIG. 4 is a block diagram of another knowledge base generation apparatus according to an embodiment of the present invention;
fig. 5 is a block diagram illustrating a structure of an update module in the knowledge base generation apparatus according to the embodiment of the present invention;
fig. 6 is a block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The knowledge base generation method and the knowledge base generation device provided by the embodiment of the invention can complete knowledge acquisition in multiple ways in the production stage of knowledge, and meanwhile, reward mechanisms such as points, gifts, grades, badges, honors and the like can promote the flow of knowledge, update iteration and invisible knowledge mining are completed, the labor cost is reduced, and huge knowledge power is created for enterprises.
To facilitate understanding of the embodiment, a method for generating a knowledge base disclosed in the embodiment of the present invention will be described in detail first.
The embodiment of the invention provides a knowledge base generation method, which is shown in a flow chart of the knowledge base generation method shown in figure 1 and comprises the following steps:
and S102, acquiring knowledge according to the knowledge splitting template to obtain an initial knowledge base.
In the embodiment of the invention, the knowledge splitting template can be preset according to requirements. The knowledge of different types can be acquired by using a plurality of knowledge splitting templates respectively so as to improve the acquisition efficiency of the knowledge and obtain an initial knowledge base.
And step S104, acquiring interaction parameters, and updating the initial knowledge base according to the interaction parameters to obtain a knowledge base generation result.
In the embodiment of the invention, the interaction parameters are derived from interaction data between the user and the bank service staff. Knowledge in the knowledge base needs to be updated in time according to needs, so that interaction of the knowledge can be realized through modes of commenting, correcting, scoring, recommending and the like, and a user can obtain points, gifts, grades, badges and honor through interaction and promote correction and flow of the knowledge; meanwhile, more detailed knowledge discussion is carried out through modules such as question answering and forum, the mining of implicit knowledge is realized, blank knowledge points are supplemented for the knowledge base, and the completeness of the knowledge base is improved.
The embodiment of the invention provides a knowledge base generation scheme, which obtains knowledge through a knowledge splitting template to obtain an initial knowledge base, then obtains interaction parameters, and updates the initial knowledge base according to the interaction parameters to obtain a knowledge base generation result. The embodiment of the invention acquires knowledge according to the knowledge splitting template, can improve the acquisition efficiency of the knowledge, and updates the initial knowledge base through the interaction parameters, thereby realizing the updating and the invisible knowledge mining of the knowledge through the interaction mode and obtaining a more complete knowledge base.
In order to improve knowledge acquisition efficiency and improve knowledge base completeness, before acquiring knowledge according to the knowledge splitting template, the following steps can be executed:
generating a knowledge splitting template; the knowledge splitting template comprises a plurality of knowledge requirement items; the knowledge requirement items at least comprise one or a combination of more of the following: the system comprises a knowledge directory item, a knowledge scene item, a knowledge title item, a knowledge text item, a conventional label item, a personalized label item and a management attribute item.
In the embodiment of the present invention, referring to the knowledge template diagram shown in fig. 2, the knowledge splitting template may be generated according to a table shown in the diagram, or may be in other knowledge map forms. Knowledge maintainers and producers put forward and establish knowledge requirements in a knowledge investigation and knowledge checking mode, and the producers can conveniently produce and create knowledge according to the knowledge splitting template. The knowledge splitting template comprises a plurality of knowledge requirement items; the knowledge requirement items at least comprise one or a combination of the following: the system comprises a knowledge directory item, a knowledge scene item, a knowledge title item, a knowledge text item, a conventional label item, a personalized label item and a management attribute item.
The knowledge splitting template supports the construction of multiple levels and multiple dimensions, and the knowledge classification is conveniently and simply adjusted. The knowledge splitting template supports knowledge acquisition means such as single creation, batch uploading, knowledge interaction, community one-key conversion, system interface knowledge precipitation, crawler data acquisition and the like, and automatic extraction through a deep learning model. The method supports the creation of structured knowledge and unstructured knowledge, and can realize the structured processing of unstructured information by self-defining various types of knowledge templates through a template tool.
In order to realize automatic processing, improve knowledge processing efficiency and reduce errors, knowledge is acquired according to a knowledge splitting template, and the method can be executed according to the following steps:
and acquiring knowledge through a learning model according to the knowledge splitting template.
In the embodiment of the invention, the learning model is trained in advance so that the learning model has the capability of creating knowledge corresponding to the target position of the knowledge splitting template at the target position. Therefore, knowledge can be automatically and efficiently acquired through the learning model according to the knowledge splitting template, and the efficiency and accuracy of knowledge acquisition are ensured.
Considering that the initial knowledge base is updated according to the interaction parameters in order to complete the update iteration, error correction and mining of implicit knowledge in an interactive manner, the method can be performed according to the following steps:
determining an evaluation result of the initial knowledge base according to the interaction parameters; and carrying out knowledge deletion, knowledge modification or knowledge addition processing on the initial knowledge base according to the evaluation result.
In the embodiment of the present invention, the evaluation result of each item of knowledge in the initial knowledge base by the user is obtained according to the interaction parameter, for example, the evaluation result may include: the knowledge use frequency is low, the knowledge is wrong or the knowledge is vacant, and the knowledge deletion, the knowledge modification and the knowledge addition can be sequentially carried out according to the evaluation result, so that more users participate in error correction, grading, commenting and recommending through interaction to realize the interaction and updating of the knowledge.
The embodiment of the invention acquires knowledge requirements through knowledge investigation and knowledge inventory, acquires knowledge and uploads knowledge in batches through the carding template, and introduces an interactive mode to finish updating iteration and invisible knowledge mining of knowledge and promote the circulation of knowledge when the knowledge base is initially scaled.
The embodiment of the invention provides a knowledge base generation method and a knowledge base generation device, which introduce an interactive form to update knowledge and mine invisible knowledge, can provide and establish knowledge requirements in a knowledge investigation and knowledge checking mode, and can enable knowledge maintainers and manufacturers to establish knowledge according to a knowledge combing template to complete knowledge acquisition of a knowledge base. The interaction and the updating of knowledge are realized by leading the whole bank personnel to participate in error correction, scoring, commenting and recommending, and the mining of invisible knowledge is realized in the form of question answering and forum, so that the updating iteration of knowledge in the knowledge base is completed, the timeliness of the knowledge is ensured, and the construction of the knowledge base is continuously enriched and perfected.
The embodiment of the invention also provides a knowledge base generation device, which is described in the following embodiment. Because the principle of the device for solving the problems is similar to the knowledge base generation method, the implementation of the device can refer to the implementation of the knowledge base generation method, and repeated details are not repeated. Referring to fig. 3, a block diagram of a knowledge base generation apparatus is shown, the apparatus including:
the acquisition module 61 is used for acquiring knowledge according to the knowledge splitting template to obtain an initial knowledge base; and the updating module 62 is configured to acquire the interaction parameters, and update the initial knowledge base according to the interaction parameters to obtain a knowledge base generation result.
In one embodiment, referring to another structural block diagram of the knowledge base generating device shown in fig. 4, the device further includes a generating module 63 for: generating a knowledge splitting template; the knowledge splitting template comprises a plurality of knowledge requirement items; the knowledge requirement items at least comprise one or a combination of more of the following: the system comprises a knowledge directory item, a knowledge scene item, a knowledge title item, a knowledge text item, a conventional label item, a personalized label item and a management attribute item.
In one embodiment, the obtaining module is specifically configured to: and acquiring knowledge through a learning model according to the knowledge splitting template.
In one embodiment, referring to the block diagram of the structure of the update module in the knowledge base generation apparatus shown in fig. 5, the update module includes: the evaluation unit 71 is configured to determine an evaluation result of the initial knowledge base according to the interaction parameter; and the processing unit 72 is configured to perform knowledge deletion, knowledge modification, or knowledge addition processing on the initial knowledge base according to the evaluation result.
An embodiment of the present invention further provides a computer device, referring to the schematic block diagram of the structure of the computer device shown in fig. 6, the computer device includes a memory 81, a processor 82, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the steps of any one of the above-mentioned knowledge base generation methods.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the computer device described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program for executing any one of the above-described knowledge base generation methods is stored.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A knowledge base generation method, comprising:
acquiring knowledge according to a knowledge splitting template to obtain an initial knowledge base;
and acquiring interaction parameters, and updating the initial knowledge base according to the interaction parameters to obtain a knowledge base generation result.
2. The method of claim 1, prior to obtaining knowledge from the knowledge splitting template, further comprising:
generating a knowledge splitting template; the knowledge splitting template comprises a plurality of knowledge requirement items; the knowledge requirement items at least comprise one or a combination of more of the following: the system comprises a knowledge directory item, a knowledge scene item, a knowledge title item, a knowledge text item, a conventional label item, a personalized label item and a management attribute item.
3. The method of claim 1, wherein obtaining knowledge from a knowledge splitting template comprises:
and acquiring knowledge through a learning model according to the knowledge splitting template.
4. The method of claim 1, wherein updating the initial knowledge base according to the interaction parameters comprises:
determining an evaluation result of the initial knowledge base according to the interaction parameters;
and carrying out knowledge deletion, knowledge modification or knowledge addition processing on the initial knowledge base according to the evaluation result.
5. A knowledge base generation apparatus, comprising:
the acquisition module is used for acquiring knowledge according to the knowledge splitting template to obtain an initial knowledge base;
and the updating module is used for acquiring interaction parameters, updating the initial knowledge base according to the interaction parameters and obtaining a knowledge base generation result.
6. The apparatus of claim 5, further comprising a generation module to:
generating a knowledge splitting template; the knowledge splitting template comprises a plurality of knowledge requirement items; the knowledge requirement items at least comprise one or a combination of more of the following: the system comprises a knowledge directory item, a knowledge scene item, a knowledge title item, a knowledge text item, a conventional label item, a personalized label item and a management attribute item.
7. The apparatus of claim 5, wherein the obtaining module is specifically configured to:
and acquiring knowledge through a learning model according to the knowledge splitting template.
8. The apparatus of claim 5, wherein the update module comprises:
the evaluation unit is used for determining the evaluation result of the initial knowledge base according to the interaction parameters;
and the processing unit is used for carrying out knowledge deletion, knowledge modification or knowledge addition processing on the initial knowledge base according to the evaluation result.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110019754A (en) * | 2019-01-30 | 2019-07-16 | 阿里巴巴集团控股有限公司 | A kind of method for building up of knowledge base, device and equipment |
| CN110929007A (en) * | 2019-11-08 | 2020-03-27 | 国网江苏省电力有限公司电力科学研究院 | Electric power marketing knowledge system platform and application method |
| CN111340366A (en) * | 2020-02-26 | 2020-06-26 | 中国联合网络通信集团有限公司 | Structured knowledge quality improvement method and equipment |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110019754A (en) * | 2019-01-30 | 2019-07-16 | 阿里巴巴集团控股有限公司 | A kind of method for building up of knowledge base, device and equipment |
| CN110929007A (en) * | 2019-11-08 | 2020-03-27 | 国网江苏省电力有限公司电力科学研究院 | Electric power marketing knowledge system platform and application method |
| CN111340366A (en) * | 2020-02-26 | 2020-06-26 | 中国联合网络通信集团有限公司 | Structured knowledge quality improvement method and equipment |
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