CN112381228A - Business-based knowledge system construction and application method - Google Patents
Business-based knowledge system construction and application method Download PDFInfo
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Abstract
The invention belongs to the technical field of knowledge engineering, and relates to a method for constructing and applying a knowledge system based on business. The invention organizes knowledge through tasks, and each task comprises knowledge points such as AOS thirteen elements and the like. Therefore, the designer can record the knowledge in the design process, confirm the knowledge through the examination and signature process of the task, and then archive the knowledge into a warehouse. This knowledge can be pushed to the designer for reference and supplemented the next time the designer performs the same, similar task design. And continuously supplementing and iterating the task associated knowledge to form complete service-based knowledge.
Description
Technical Field
The invention belongs to the technical field of knowledge engineering, and relates to a method for constructing and applying a knowledge system based on business.
Background
At present, a common method of a knowledge management system is to establish a knowledge base, and add tag information to knowledge items for retrieval, query and the like. Most of the knowledge bases are made into document bases and encyclopedia entry bases, and a service-oriented knowledge system is not formed. As a general knowledge base, special personnel are required to be arranged for collecting and inputting knowledge, and when the personnel depart from the professional knowledge compiling, the personnel usually have difficulty in compiling the knowledge comprehensively, particularly have difficulty in compiling the implicit knowledge and try to show the implicit knowledge. Especially for scientific research institutions, a large amount of design documents, experience knowledge and the like are in brains and computers of experts and designers. Therefore, from the perspective that the whole member, namely the expert, everyone has the excellence, the business process, namely the process of knowledge collection and application, is utilized, and the method for establishing and applying the knowledge system based on the business is provided.
Disclosure of Invention
The purpose of the invention is as follows: the method for constructing and applying the knowledge system for collecting knowledge in the business and pushing the knowledge aiming at the business is provided.
The method specifically comprises the steps of task requirements, upstream and downstream relations, professional processes, input data, methods and steps, professional tools, standard specifications, work notes, output data, reference documents, responsibility departments, responsible persons, common problems, fault cases, reference data, risk measures, processes, planned start-stop time, actual work time and the like. Therefore, the designer can record the knowledge in the design process, confirm the knowledge through the examination and signature process of the task, and then archive the knowledge into a warehouse. This knowledge can be pushed to the designer for reference and supplemented the next time the designer performs the same, similar task design. And continuously supplementing and iterating the task associated knowledge to form complete service-based knowledge.
In order to achieve the purpose, the invention adopts the following technical scheme:
a business-based knowledge system construction and application method comprises the following steps:
s1, constructing a business model, wherein the business model comprises a plurality of task model nodes which are organized in a tree structure; each task model node has a plurality of corresponding task elements, and each task element is used for representing a class of knowledge related to the task;
s2, constructing a knowledge management module, wherein the knowledge management module comprises a plurality of types of knowledge and a plurality of knowledge bases, and each type of knowledge is stored in the corresponding knowledge base; each type of knowledge comprises a plurality of knowledge items;
s3, according to the task elements corresponding to each task model node, establishing the incidence relation between the knowledge items in the knowledge management module and the task model node, thereby determining the incidence relation between the knowledge items in the knowledge management module and the task model nodes.
The technical scheme of the invention has the characteristics and further improvements that:
(1) the method further comprises the following steps:
when a certain task model node is executed, the knowledge management module pushes a plurality of knowledge items related to each task element in the task model node according to the incidence relation between the plurality of knowledge items and the plurality of task model nodes.
(2) The method further comprises the following steps:
when a certain task model node is executed, the knowledge management module modifies the incidence relation between the knowledge items and the task model nodes according to the incidence relation between the knowledge items and the task model nodes and if the pushed knowledge items related to each task element in the task model node do not meet the actual requirement.
(3) The method further comprises the following steps:
when a certain task model node is executed, if a plurality of knowledge items pushed by the knowledge management module cannot meet the actual requirement, the required knowledge items are acquired from the outside, and the virtual association relationship between the task model node and the required knowledge items is established.
(4) And when the required knowledge items acquired from the outside pass the approval of the task, the required knowledge items acquired from the outside are automatically added into the corresponding knowledge base, and the association relationship between the nodes of the task model and the knowledge items is established.
(5) The attributes of each task model node include:
the task model node comprises a task model node ID, a task model father node ID, a task model node name and task model node attributes, wherein the task model node attributes are used for representing a plurality of task elements corresponding to the task model node.
(6) The attributes of each knowledge item include:
the knowledge item ID, the knowledge item attribute, the said knowledge item attribute is used for expressing the knowledge category and knowledge content that the knowledge item belongs to.
(7) The incidence relation between a plurality of knowledge items and a plurality of task model nodes in the knowledge management module is represented in a form of a relation table;
there are multiple records in the relationship table, and the attribute of each record includes: task model node ID and knowledge item ID.
(8) The plurality of task elements corresponding to each task model node at least comprise: task requirements, the upstream and downstream relationship of the task, the execution flow of subtasks of the task, the input/output data of the task, and a method and a step for completing the task.
The technical effects of the invention comprise: seizing a business main line, and gathering a knowledge range to avoid knowledge sand scattering; the knowledge is accumulated while working, including the invisible knowledge, and no extra workload is added; establishing association between knowledge and business, wherein work is the core value of the knowledge; knowledge is associated with the business model, so that the intelligent pushing is conveniently and actively carried out well, and the requirements of work application are met.
Drawings
FIG. 1 is a diagram illustrating a knowledge management base form and relationships;
FIG. 2 is a schematic diagram illustrating a relationship between knowledge and business models;
FIG. 3 is a schematic diagram illustrating a knowledge push principle according to an embodiment of the invention;
fig. 4 is a schematic diagram of the knowledge aggregation principle according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention provides a method for constructing and applying a knowledge system based on business, which comprises the following steps:
s1, constructing a business model, wherein the business model comprises a plurality of task model nodes which are organized in a tree structure; each task model node has a plurality of corresponding task elements, and each task element is used for representing a class of knowledge related to the task;
s2, constructing a knowledge management module, wherein the knowledge management module comprises a plurality of types of knowledge and a plurality of knowledge bases, and each type of knowledge is stored in the corresponding knowledge base; each type of knowledge comprises a plurality of knowledge items;
s3, according to the task elements corresponding to each task model node, establishing the incidence relation between the knowledge items in the knowledge management module and the task model node, thereby determining the incidence relation between the knowledge items in the knowledge management module and the task model nodes.
Further:
(1) the method further comprises the following steps:
when a certain task model node is executed, the knowledge management module pushes a plurality of knowledge items related to each task element in the task model node according to the incidence relation between the plurality of knowledge items and the plurality of task model nodes.
(2) The method further comprises the following steps:
when a certain task model node is executed, the knowledge management module modifies the incidence relation between the knowledge items and the task model nodes according to the incidence relation between the knowledge items and the task model nodes and if the pushed knowledge items related to each task element in the task model node do not meet the actual requirement.
(3) The method further comprises the following steps:
when a certain task model node is executed, if a plurality of knowledge items pushed by the knowledge management module cannot meet the actual requirement, the required knowledge items are acquired from the outside, and the virtual association relationship between the task model node and the required knowledge items is established.
(4) And when the required knowledge items acquired from the outside pass the approval of the task, the required knowledge items acquired from the outside are automatically added into the corresponding knowledge base, and the association relationship between the nodes of the task model and the knowledge items is established.
(5) The attributes of each task model node include:
the task model node comprises a task model node ID, a task model father node ID, a task model node name and task model node attributes, wherein the task model node attributes are used for representing a plurality of task elements corresponding to the task model node.
(6) The attributes of each knowledge item include:
the knowledge item ID, the knowledge item attribute, the said knowledge item attribute is used for expressing the knowledge category and knowledge content that the knowledge item belongs to.
(7) The incidence relation between a plurality of knowledge items and a plurality of task model nodes in the knowledge management module is represented in a form of a relation table;
there are multiple records in the relationship table, and the attribute of each record includes: task model node ID and knowledge item ID.
(8) The plurality of task elements corresponding to each task model node at least comprise: task requirements, the upstream and downstream relationship of the task, the execution flow of subtasks of the task, the input/output data of the task, and a method and a step for completing the task.
The invention provides a business-based knowledge system construction and application method, which is developed by Java, uses an Oracle database, mainly comprises a knowledge management module and a task management module, associates knowledge with tasks and realizes construction and knowledge pushing of a knowledge system, wherein the knowledge pushing mode is accurate pushing according to knowledge associated with task model nodes.
All knowledge basic forms in the platform are shown in fig. 1 and comprise knowledge ontology, knowledge dimension relation and dimension attributes.
The business dimension is one of knowledge dimensions, and in the invention, the business dimension is used as a main line, and the association relationship is shown in fig. 2.
The task model nodes defined in the platform can be associated with various knowledge such as standard specifications, fault cases, technical files and the like. By selecting the task nodes, the decomposed tasks can acquire knowledge associated with the nodes.
As shown in fig. 3, during task execution, task-related knowledge is pushed according to task elements.
In the knowledge pushing page, the user is supported to add and quote new knowledge and delete the quoted knowledge of the current task besides checking the pushed knowledge, so that the platform can record the new knowledge used in the current task in the working process.
And the newly added knowledge of the user is only stored in the current task of the user, and when the task is approved, the newly added knowledge of the user is simultaneously effective and put in storage, and the associated knowledge of the task model is also updated. The method realizes the aggregation of knowledge and ensures the validity of the knowledge through task approval, as shown in figure 4.
When the working platform pushes knowledge, a user can conveniently input the knowledge and quote the knowledge while performing task design.
And the task decomposition is from instantiation of a task model, when the task is approved, newly added knowledge in the task process is completed, and the newly added knowledge is automatically regressed to the associated task model node to realize the aggregation of the knowledge. The next time the same task is performed, the aggregated knowledge is pushed to the designer again.
Therefore, the business-based architecture and application mainly comprises the following contents:
1) establishing an association relation based on the business aggregated knowledge content;
2) pushing and applying in the task execution process;
3) and by executing the task, the incidence relation between the knowledge and the service is continuously perfected.
The application provides a business-based knowledge system construction and application method, which comprises the steps of 1) seizing a business main line, closing a knowledge range and avoiding knowledge sand scattering; 2) the knowledge is accumulated while working, including the invisible knowledge, and no extra workload is added; 3) establishing association between knowledge and business, wherein work is the core value of the knowledge; 4) knowledge is associated with the business model, so that the intelligent pushing is conveniently and actively carried out well, and the requirements of work application are met.
The foregoing is merely a detailed description of the embodiments of the present invention, and some of the conventional techniques are not detailed. The scope of the present invention is not limited thereto, and any changes or substitutions that can be easily made by those skilled in the art within the technical scope of the present invention will be covered by the scope of the present invention. The protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A method for constructing and applying a knowledge system based on business is characterized by comprising the following steps:
s1, constructing a business model, wherein the business model comprises a plurality of task model nodes which are organized in a tree structure; each task model node has a plurality of corresponding task elements, and each task element is used for representing a class of knowledge related to the task;
s2, constructing a knowledge management module, wherein the knowledge management module comprises a plurality of types of knowledge and a plurality of knowledge bases, and each type of knowledge is stored in the corresponding knowledge base; each type of knowledge comprises a plurality of knowledge items;
s3, according to the task elements corresponding to each task model node, establishing the incidence relation between the knowledge items in the knowledge management module and the task model node, thereby determining the incidence relation between the knowledge items in the knowledge management module and the task model nodes.
2. The business-based knowledge architecture construction and application method of claim 1, further comprising:
when a certain task model node is executed, the knowledge management module pushes a plurality of knowledge items related to each task element in the task model node according to the incidence relation between the plurality of knowledge items and the plurality of task model nodes.
3. The business-based knowledge architecture construction and application method of claim 1, further comprising:
when a certain task model node is executed, the knowledge management module modifies the incidence relation between the knowledge items and the task model nodes according to the incidence relation between the knowledge items and the task model nodes and if the pushed knowledge items related to each task element in the task model node do not meet the actual requirement.
4. The business-based knowledge architecture construction and application method of claim 1, further comprising:
when a certain task model node is executed, if a plurality of knowledge items pushed by the knowledge management module cannot meet the actual requirement, the required knowledge items are acquired from the outside, and the virtual association relationship between the task model node and the required knowledge items is established.
5. The business-based knowledge system construction and application method of claim 4, wherein after the required externally obtained knowledge items pass the approval of the task, the required externally obtained knowledge items are automatically added to the corresponding knowledge base, and the association relationship between the task model node and the knowledge items is established.
6. The business-based knowledge architecture construction and application method of claim 1, wherein the attributes of each task model node comprise:
the task model node comprises a task model node ID, a task model father node ID, a task model node name and task model node attributes, wherein the task model node attributes are used for representing a plurality of task elements corresponding to the task model node.
7. The business-based knowledge architecture building and application method of claim 1, wherein the attributes of each knowledge item comprise:
the knowledge item ID, the knowledge item attribute, the said knowledge item attribute is used for expressing the knowledge category and knowledge content that the knowledge item belongs to.
8. The business-based knowledge system construction and application method of claim 1, wherein the association between a plurality of knowledge entries and a plurality of task model nodes in the knowledge management module is characterized in the form of a relational table;
there are multiple records in the relationship table, and the attribute of each record includes: task model node ID and knowledge item ID.
9. The method of claim 1, wherein the task elements corresponding to each task model node comprise at least: task requirements, the upstream and downstream relationship of the task, the execution flow of subtasks of the task, the input/output data of the task, and a method and a step for completing the task.
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Citations (4)
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| US20030101066A1 (en) * | 2001-11-29 | 2003-05-29 | Jeanblanc Anne H. | Knowledge management system and method |
| CN110046262A (en) * | 2019-06-10 | 2019-07-23 | 南京擎盾信息科技有限公司 | A kind of Context Reasoning method based on law expert's knowledge base |
| CN111062600A (en) * | 2019-12-06 | 2020-04-24 | 中国工商银行股份有限公司 | Model evaluation method, system, electronic device, and computer-readable storage medium |
| CN111368089A (en) * | 2018-12-25 | 2020-07-03 | 中国移动通信集团浙江有限公司 | Service processing method and device based on knowledge graph |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030101066A1 (en) * | 2001-11-29 | 2003-05-29 | Jeanblanc Anne H. | Knowledge management system and method |
| CN111368089A (en) * | 2018-12-25 | 2020-07-03 | 中国移动通信集团浙江有限公司 | Service processing method and device based on knowledge graph |
| CN110046262A (en) * | 2019-06-10 | 2019-07-23 | 南京擎盾信息科技有限公司 | A kind of Context Reasoning method based on law expert's knowledge base |
| CN111062600A (en) * | 2019-12-06 | 2020-04-24 | 中国工商银行股份有限公司 | Model evaluation method, system, electronic device, and computer-readable storage medium |
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