CN112381228B - Knowledge system construction and application method based on business - Google Patents
Knowledge system construction and application method based on business Download PDFInfo
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- CN112381228B CN112381228B CN202011213073.0A CN202011213073A CN112381228B CN 112381228 B CN112381228 B CN 112381228B CN 202011213073 A CN202011213073 A CN 202011213073A CN 112381228 B CN112381228 B CN 112381228B
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- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
Abstract
The invention belongs to the technical field of knowledge engineering, and relates to a knowledge system construction and application method based on business. The invention organizes knowledge through tasks, and each task comprises knowledge points such as AOS thirteen elements. In the design process, a designer can record the knowledge, confirm the knowledge through the task signing process and then archive and store the knowledge. When the next time the designer performs the same, similar task design, this knowledge can be pushed to the designer for reference and replenishment. The knowledge of task association constantly supplements the iteration, thus forming perfect business-based knowledge.
Description
Technical Field
The invention belongs to the technical field of knowledge engineering, and relates to a knowledge system construction and application method based on business.
Background
Currently, a common way of knowledge management system is to build a knowledge base, and add tag information to knowledge items for retrieval, query, and the like. Most of the knowledge systems are made into document libraries and encyclopedia entry libraries, and no knowledge system facing the business is formed. As a general knowledge base, specialized personnel need to be arranged to collect and input knowledge, and when the personnel deviate from the business to specially write the knowledge, the knowledge is generally difficult to write comprehensively, and especially the implicit knowledge is difficult to test and manifest. Particularly for scientific research institutions, a large number of design documents, experience knowledge and the like are in the brains and computers of experts and designers. Therefore, from the viewpoint of the proficiency of all people, namely expert, everyone utilizes the business process, namely the process of knowledge collection and application, and a business-based knowledge system construction and application method is provided.
Disclosure of Invention
The purpose of the invention is that: the knowledge system construction and application method for collecting knowledge in business and pushing knowledge to business is provided.
The method comprises the steps of organizing knowledge aiming at tasks, wherein each task comprises knowledge points such as AOS thirteen elements and the like, and specifically comprises task requirements, upstream-downstream relations, professional flows, input data, methods and steps, professional tools, standard specifications, working notes, output data, references, responsibility departments, responsibility people, common problems, fault cases, reference data, risk measures, flows, planned start-stop times, actual working times and the like. In the design process, a designer can record the knowledge, confirm the knowledge through the task signing process and then archive and store the knowledge. When the next time the designer performs the same, similar task design, this knowledge can be pushed to the designer for reference and replenishment. The knowledge of task association constantly supplements the iteration, thus forming perfect business-based knowledge.
In order to achieve the purpose, the invention adopts the following technical scheme:
a business-based knowledge architecture construction and application method, the method comprising:
s1, constructing a business model, wherein the business model comprises a plurality of task model nodes, and the task model nodes 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 multiple types of knowledge and multiple knowledge bases, and each type of knowledge is stored in the corresponding knowledge base; each type of knowledge contains a plurality of knowledge items;
and S3, establishing association relations between a plurality of knowledge items in the knowledge management module and the task model nodes according to a plurality of task elements corresponding to each task model node, so as to determine the association relations between the plurality of knowledge items in the knowledge management module and the plurality of task model nodes.
The technical scheme of the invention is characterized in that:
(1) The method further comprises the steps of:
when executing a certain task model node, the knowledge management module pushes a plurality of knowledge items related to each task element in the task model node according to the association relation between the plurality of knowledge items and the plurality of task model nodes.
(2) The method further comprises the steps of:
when executing a certain task model node, the knowledge management module modifies the association relation between the plurality of knowledge items and the plurality of task model nodes according to the association relation between the plurality of knowledge items and the plurality of task model nodes, wherein the pushed plurality of knowledge items related to each task element in the task model node do not meet the actual requirement.
(3) The method further comprises the steps of:
when a certain task model node is executed, if a plurality of knowledge items pushed by the knowledge management module cannot meet actual requirements, the required knowledge items are acquired from outside, and a virtual association relationship between the task model node and the required knowledge items is established.
(4) And after the externally acquired required knowledge item passes the approval of the task, automatically adding the externally acquired required knowledge item into a corresponding knowledge base, and establishing an association relation between the task model node and the knowledge item.
(5) The attributes of each task model node include:
the task model comprises a task model node ID, a task model father node ID, a task model node name and a task model node attribute, wherein the task model node attribute is 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 comprises a knowledge item ID and a knowledge item attribute, wherein the knowledge item attribute is used for representing a knowledge category and knowledge content to which the knowledge item belongs.
(7) The association relation between a plurality of knowledge items and a plurality of task model nodes in the knowledge management module is characterized in a relation table;
a plurality of records exist in the relation table, and the attribute of each record comprises: task model node ID and knowledge item ID.
(8) The task elements corresponding to each task model node at least comprise: task requirements, upstream and downstream relations of tasks, execution flows of subtasks of tasks, input/output data of tasks, and methods and steps for completing the tasks.
The technical effects of the invention include: grasping a service main line, gathering a knowledge range, and avoiding knowledge sand scattering; the knowledge is accumulated by the way while working, including invisible knowledge, and no extra workload is added; the association between knowledge and business is constructed, and the work is the core value of the knowledge; knowledge is associated with the business model, so that the knowledge is conveniently and actively pushed well, and the requirements of working and application are met.
Drawings
FIG. 1 is a schematic diagram of a knowledge management base form and relationship description;
FIG. 2 is a schematic diagram illustrating the association between knowledge and business models;
FIG. 3 is a schematic diagram of a knowledge push principle according to an embodiment of the present invention;
fig. 4 is a schematic diagram of knowledge gathering principle according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a knowledge system construction and application method based on business, which comprises the following steps:
s1, constructing a business model, wherein the business model comprises a plurality of task model nodes, and the task model nodes 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 multiple types of knowledge and multiple knowledge bases, and each type of knowledge is stored in the corresponding knowledge base; each type of knowledge contains a plurality of knowledge items;
and S3, establishing association relations between a plurality of knowledge items in the knowledge management module and the task model nodes according to a plurality of task elements corresponding to each task model node, so as to determine the association relations between the plurality of knowledge items in the knowledge management module and the plurality of task model nodes.
Further:
(1) The method further comprises the steps of:
when executing a certain task model node, the knowledge management module pushes a plurality of knowledge items related to each task element in the task model node according to the association relation between the plurality of knowledge items and the plurality of task model nodes.
(2) The method further comprises the steps of:
when executing a certain task model node, the knowledge management module modifies the association relation between the plurality of knowledge items and the plurality of task model nodes according to the association relation between the plurality of knowledge items and the plurality of task model nodes, wherein the pushed plurality of knowledge items related to each task element in the task model node do not meet the actual requirement.
(3) The method further comprises the steps of:
when a certain task model node is executed, if a plurality of knowledge items pushed by the knowledge management module cannot meet actual requirements, the required knowledge items are acquired from outside, and a virtual association relationship between the task model node and the required knowledge items is established.
(4) And after the externally acquired required knowledge item passes the approval of the task, automatically adding the externally acquired required knowledge item into a corresponding knowledge base, and establishing an association relation between the task model node and the knowledge item.
(5) The attributes of each task model node include:
the task model comprises a task model node ID, a task model father node ID, a task model node name and a task model node attribute, wherein the task model node attribute is 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 comprises a knowledge item ID and a knowledge item attribute, wherein the knowledge item attribute is used for representing a knowledge category and knowledge content to which the knowledge item belongs.
(7) The association relation between a plurality of knowledge items and a plurality of task model nodes in the knowledge management module is characterized in a relation table;
a plurality of records exist in the relation table, and the attribute of each record comprises: task model node ID and knowledge item ID.
(8) The task elements corresponding to each task model node at least comprise: task requirements, upstream and downstream relations of tasks, execution flows of subtasks of tasks, input/output data of tasks, and methods and steps for completing the tasks.
The invention provides a knowledge system construction and application method based on business, which uses an Oracle database through Java development and mainly comprises a knowledge management module and a task management module, and associates knowledge with tasks to realize knowledge system construction and knowledge pushing, wherein the knowledge pushing mode is to accurately push the knowledge associated with task model nodes.
The basic forms of all the knowledge in the platform are shown in fig. 1, and comprise a knowledge body, knowledge dimension relations and dimension attributes.
The business dimension is one of the dimensions of the knowledge, and in the invention, the business dimension is taken 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 task nodes, the decomposed tasks can acquire knowledge associated with the nodes.
As shown in fig. 3, during task execution, the task related knowledge is pushed according to the task elements.
In the pushing knowledge page, the user is supported to perform operations of adding and referencing new knowledge and deleting the current task reference knowledge 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 after the task approval is passed, the newly added knowledge of the user takes effect and enters the warehouse, and the associated knowledge of the task model is updated. This approach achieves aggregation of knowledge and guarantees knowledge validity through task approval, as shown in fig. 4.
When the working platform pushes knowledge, a user can conveniently input knowledge and quote knowledge while carrying out task design.
The task decomposition comes from task model instantiation, and when task approval passes, the newly added knowledge in the task process is completed, and the knowledge is automatically returned to the associated task model nodes, so that the knowledge aggregation is realized. The next time the same task is performed, the aggregated knowledge is pushed to the designer again.
Thus, business-based architecture construction and application, the main content includes:
1) Establishing an association relationship based on the business aggregation knowledge content;
2) Pushing and applying in the task execution process;
3) Through task execution, the association relationship between knowledge and service is continuously perfected.
The knowledge system construction and application method based on the service comprises the steps of 1) grasping a service main line, gathering a knowledge range and avoiding knowledge sand scattering; 2) The knowledge is accumulated by the way while working, including invisible knowledge, and no extra workload is added; 3) The association between knowledge and business is constructed, and the work is the core value of the knowledge; 4) Knowledge is associated with the business model, so that the knowledge is conveniently and actively pushed well, and the requirements of working and application are met.
The foregoing is merely a detailed description of the invention, which is not a matter of routine skill in the art. However, the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily contemplated by those skilled in the art within the scope of the present invention should be included in the scope of the present invention. The protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A method for building and applying a business-based knowledge system, the method comprising:
s1, constructing a business model, wherein the business model comprises a plurality of task model nodes, and the task model nodes 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; the task elements corresponding to each task model node at least comprise: task requirements, upstream and downstream relations of tasks, execution flows of subtasks of tasks, input/output data of tasks, and methods and steps for completing the tasks;
s2, constructing a knowledge management module, wherein the knowledge management module comprises multiple types of knowledge and multiple knowledge bases, and each type of knowledge is stored in the corresponding knowledge base; each type of knowledge contains a plurality of knowledge items;
s3, according to a plurality of task elements corresponding to each task model node, establishing association relations between a plurality of knowledge items in the knowledge management module and the task model nodes, so as to determine the association relations between the plurality of knowledge items in the knowledge management module and the plurality of task model nodes;
the method further comprises the steps of:
when a certain task model node is executed, if a plurality of knowledge items pushed by a knowledge management module cannot meet actual requirements, a required knowledge item is acquired from outside, and a virtual association relationship between the task model node and the required knowledge item is established;
and after the externally acquired required knowledge item passes the approval of the task, automatically adding the externally acquired required knowledge item into a corresponding knowledge base, and establishing an association relation between the task model node and the knowledge item.
2. The business-based knowledge architecture building and application method of claim 1, further comprising:
when executing a certain task model node, the knowledge management module pushes a plurality of knowledge items related to each task element in the task model node according to the association relation between the plurality of knowledge items and the plurality of task model nodes.
3. The business-based knowledge architecture building and application method of claim 1, further comprising:
when executing a certain task model node, the knowledge management module modifies the association relation between the plurality of knowledge items and the plurality of task model nodes according to the association relation between the plurality of knowledge items and the plurality of task model nodes, wherein the pushed plurality of knowledge items related to each task element in the task model node do not meet the actual requirement.
4. The business-based knowledge architecture building and application method of claim 1, wherein the attributes of each task model node comprise:
the task model comprises a task model node ID, a task model father node ID, a task model node name and a task model node attribute, wherein the task model node attribute is used for representing a plurality of task elements corresponding to the task model node.
5. The business-based knowledge architecture building and application method of claim 1, wherein the attributes of each knowledge item comprise:
the knowledge item comprises a knowledge item ID and a knowledge item attribute, wherein the knowledge item attribute is used for representing a knowledge category and knowledge content to which the knowledge item belongs.
6. The method for constructing and applying a business-based knowledge system according to claim 1, wherein the association between a plurality of knowledge items and a plurality of task model nodes in the knowledge management module is characterized in the form of a relationship table;
a plurality of records exist in the relation table, and the attribute of each record comprises: task model node ID and knowledge item ID.
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| 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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| US7127440B2 (en) * | 2001-11-29 | 2006-10-24 | Caterpillar Inc. | Knowledge management system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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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