CN108765213A - A kind of knowledge modularization architecture system and processing method - Google Patents
A kind of knowledge modularization architecture system and processing method Download PDFInfo
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Abstract
The present invention discloses a kind of knowledge modularization architecture system, including Professional knowledge hierarchy tree topology framework, is divided into 4 layers under root node Professional, and first layer is system layer, and next layer is course layer, then next layer is elementary layer, last layer is knowledge point layer.The Knowledge framework that the structure of knowledge module has around existing Professional, system layer, course layer built modular establish tree, and the producer can independently build or multiple producers cooperate with structure, elementary layer and knowledge point layer constitute the fundamental of Knowledge framework, and knowledge point layer needs explication.A kind of processing method of knowledge modularization architecture system is also provided, consumer, which determines, it is expected Professional, coupling learning module or course, selects study according to the learning path of itself and the learning demand of personalization, meets its personalized learning demand.
Description
Technical field
The invention belongs to knowledge hierarchy framework, more particularly to a kind of knowledge modularization architecture system and processing method.
Background technology
With the development of new techniques such as internet, Internet of Things, artificial intelligence, cloud computing, big data, virtual reality, Ren Leijia
Knowledge type, learning-oriented society are stepped into soon, and more posies need to relearn, even move to new Professional reconstruct
It practises.Therefore, how using the modular Professional knowledge hierarchy framework of internet platform structure, Knowledge Worker is made to have obtained
The modularization study packet for learning packet or obtaining higher order Professional of kind study or trans-sectoral boundary person and worker's acquisition again
The Knowledge framework for reconstructing study, has important practical significance.
In traditional enterprise organization structure, the same post that Knowledge Worker is engaged in is in different industries and different enterprises
The Knowledge framework having required for industry scale has larger otherness, stablizes enterprises, most of knowledge relatively same
The development space that worker seeks is limited.A large amount of Knowledge Worker's career stagnation, in the market it is difficult to be matched to a
The study of property.Create the low, big with the demand difference in market of Knowledge Worker's learning efficiency.This method can meet greatly
The individual character learning demand that the Knowledge Worker of amount urgently grows up has great social value.
Applicant is new by looking into, and retrieves following Exemplary patents document related to the present invention：
（1）Knowledge data base construction method, querying method and the system of knowledge based module（Applicant：University Of Science and Technology Of Shandong, Shen
Please number：CN201611249029）
（2）Knowledge Map drawing system based on ontology（Applicant：Shanghai Communications University, application number：CN201110099361）.
Current state the main problems are as follows：
（1）Substantially it using single knowledge as solution, realizes the dynamic construction of Knowledge Map, the structure of knowledge is conceived to and is known
Know point, based on static knowledge, in practical social organization knowledge be variation, it is polynary, dynamic.
（2）Tradition does not consider that enterprise or the division of labor in society are built upon reality with subject or profession structure knowledge hierarchy framework
The specific post comprehensive knowledge framework of business, the specific post of enterprise, different industries, scale and different stage, to knowing
The demand for knowing framework is different.
（3）As the Knowledge Worker of single individual, background, the experience of personal growth of study are different, to the following occupation
The Knowledge framework in post is it is desirable that personalized learning demand.
Invention content
The present invention makes Professional in view of the above-mentioned problems, provide a kind of knowledge modularization architecture system and processing method
The individual demand that more convenient, Knowledge Sharing more has system, the individualized medicine worker's career growth that coincide to learn is replaced in update.
The purpose of the present invention can be realized by following technical proposals：A kind of knowledge modularization architecture system, including duty
Industry Post Knowledge system tree topology framework is divided into 4 layers under root node Professional, and first layer is system layer, including professional hilllock
Level of child nodes knowledge module 1 needed for position is until knowledge module J；Its next layer is course layer, includes the lower straton of knowledge module 1
Node course 11 until course 1j, knowledge module J lower level of child nodes course k1 until under course kj and other knowledge modules
Level of child nodes course；Next layer is elementary layer again, including course 11 lower level of child nodes knowledge unit 111 until knowledge unit
11m, course 1j lower level of child nodes knowledge unit 1j1 until knowledge unit 1jm, course k1 lower level of child nodes knowledge unit
K11 until knowledge unit k1m, course kj lower level of child nodes knowledge unit kj1 until under knowledge unit kjm and other courses
Level of child nodes knowledge unit；Last layer be knowledge point layer, including knowledge unit 111 lower level of child nodes knowledge point 1111 until
Knowledge point 111n, knowledge unit 11m lower level of child nodes knowledge point 11m1 until knowledge point 11mn, knowledge unit 1j1 lower layer
Child node knowledge point 1j11 until knowledge point 1j1n, knowledge unit 1jm lower level of child nodes knowledge point 1jm1 until knowledge point
1jmn, knowledge unit k11 lower level of child nodes knowledge point k111 until knowledge point k11n, knowledge unit k1m lower level of child nodes
Knowledge point k1m1 until knowledge point k1mn, knowledge unit kj1 lower level of child nodes knowledge point kj11 until knowledge point kj1n, knowledge
The lower level of child nodes knowledge point kjm1 of unit kjm is until the lower level of child nodes knowledge point of knowledge point kjmn and other knowledge units.
The system layer and course layer are built modular, the structure tool of the knowledge module of system layer and the course of course layer
There is independence；The knowledge module of the system layer in different occupation post and the course of course layer are interchangeable；The knowledge module of system layer
Multiplexing can be partly transplanted with the course of course layer；The elementary layer and knowledge point layer constitute the fundamental of Knowledge framework, knowledge
Point layer needs explication.
The logical producer of the Professional knowledge hierarchy tree topology framework independently builds or multiple producers cooperate with structure.
Collaboration structure：The system layer, course layer, elementary layer and knowledge point layer cooperate with structure, wherein system by the different producers
Three layers of layer, course layer, elementary layer platform mandate are shared, and the producer can directly borrow, and knowledge point layer needs intellectual property owners to award
Power can be quoted.Wherein, the producer includes：There is the producer of complete knowledge framework to Professional, it is independent to build duty
Industry Post Knowledge architectural framework；There is the producer of deep insight, collaboration structure to Professional profession or partial knowledge；It is right
Itself fail explication or the producer without independent opinion, can directly transplanting borrow the system layer of other producers, course layer,
Elementary layer and knowledge point layer.
A kind of processing method of knowledge modularization architecture system, includes the following steps：
（1）Determine it is expected Professional, according to consumer's present post industry track, platform recommend confidence degree can for reference not
Carry out Professional, alternatively, consumer selects own interests preference or it is expected Professional；
（2）Coupling learning module or course, according to the Professional that consumer selects, platform searches out required for this Professional
Modularization Knowledge framework, consumer meets the study packet or course of oneself demand according to knowledge background, work experience matching,
The study packet or course that acquisition needs select the training for learning study course, course and the producer of the producer of health practice, full
The effective individualized learning of foot.
Beneficial effects of the present invention：
（1）Knowledge Worker is provided, then learns effective way；
（2）Knowledge Worker's systematic knowledge framework is provided,；
（3）Meet the study of Knowledge Worker's personalization；
（4）The complete learning framework of entirety offer Knowledge Worker, clearly learning track, can match at personalized learning demand
Study packet is set, reaches and shortens learning time, reduces learning cost, improve learning efficiency, excavate and plays Knowledge Worker is latent
Energy.
Description of the drawings
Fig. 1 is the Professional knowledge modularization system topology figure of the embodiment of the present invention one.
Fig. 2 is the Professional knowledge modularization system architecture diagram of the embodiment of the present invention one.
Fig. 3 is the Professional knowledge modularization system process chart of the embodiment of the present invention one.
Specific implementation mode
Below in conjunction with the attached drawing specific implementation mode that the present invention will be described in detail, those skilled in the art is made to become apparent from geography
How solution puts into practice the present invention.Although describing the present invention in conjunction with its preferred embodiment, these embodiments are
It illustrates, rather than limits the scope of the invention.
Fig. 1 is Professional knowledge modularization system topology figure, and specific Professional is four layers of Knowledge framework group
At tree.
Root node（Root）：Professional.
First layer system layer（System）Node 1（Node）：<Knowledge module 1 ..., knowledge module k>.
Next layer of course layer（Course）Node 2（Node）：<Course 11 ..., course 1j ... ..., course k1 ..., course
kj>。
Next layer unit layer again（Unit）Node 3（Node）：<Blocks of knowledge 111 ..., blocks of knowledge 11j ... ... knowledge
Unit 1jm ... ..., blocks of knowledge k11 ... ..., blocks of knowledge kjm>.
Last layer of knowledge point layer（Point）Node 4（Node）：<Knowledge point 1111, knowledge point 1112 ..., knowledge point
111n ... ..., knowledge point 11nm ... ..., knowledge point 1jmn ... ..., knowledge point k11n ... ..., knowledge point kjmn>.
Wherein, system layer and course layer, it is the knowledge frame of Professional that two layers, which needs built modular, system layer and course layer,
Each knowledge module of the key factor of structure, system layer is independently built and interchangeable with other Professionals, and knowledge module can lead to
With, transplanting multiplexing.Elementary layer and knowledge point layer constitute the fundamental of Knowledge framework, especially need explication to knowledge point layer.
Fig. 2 is Professional knowledge modularization framework collaboration structure Organization Chart, by taking system layer as an example.
Pattern one：Independent structure Professional knowledge modularization system.By taking system layer as an example, the producer 1 completely creates
" implementation consultant " Professional.System layer（System）=<M1 world knowledges, M2 managerial knowledge, M3 professional knowledges, M4 project pipes
Manage knowledge, Mj domain knowledges>, referring to the leftmost side block diagram of Fig. 2.
Pattern two：Collaboration structure Professional knowledge modularization system.By taking system layer as an example, the producer 1, and the producer 2, raw
Produce consumer（It is both Knowledge framework supplier and Knowledge framework learner）3 ..., producer n build Professional and know respectively
Module is known, referring to the rightmost side block diagram of Fig. 2.World knowledge, belong to different industries, size of the organization scope, only with Professional etc.
Grade is related, such as（Primary implementation consultant, intermediate implementation consultant, advanced implementation consultant, expert grade implementation consultant）It is related.Management is known
Knowledge, professional knowledge and Professional characteristic tight association.Project management knowledge belongs to professionalism scope（Such as software development, product
Exploitation, engineering project etc.）.Domain knowledge is associated with not strong with industry tight association with Professional.Life from platform user
Production person builds respective implementation consultant's Professional, only builds itself Professional profession or knowing with deep insight
Know, to itself failing explication or without independent opinion, directly transplanting borrows the knowledge module of the system layer of other producers.
Each knowledge module of pattern one and pattern two is handled by processing module, and processing module includes information searching module
Module is produced with result, information searching module retrieves each knowledge module, and result-generation module exports the knowledge module retrieved, and
And information searching module can also be retrieved according to the knowledge module that result-generation module exports.
Fig. 3 is Professional knowledge modularization system process chart, the processing side of Professional knowledge modularization system
Method is as follows：
Step1：It determines and it is expected Professional；According to consumer attributes<It educates experience, work experience, existing Professional, it is expected duty
Industry post, interest preference etc.>, platform recommend consumer show Professional confidence level grow up route on Professional；Or
Person, consumer select own interests preference or it is expected Professional.
Step2：Platform generates query semantics or consumer actively defines query semantics, wherein platform judges consumer master
Whether the query semantics of dynamic definition meet formation condition, i.e., judge key condition information therein, and qualified then formation is looked into
Semanteme is ask, unqualified, consumer actively defines query semantics again.
Step3：According to the query semantics defined, four layers of tree-shaped knowledge frame of Professional and this Professional are searched out
Structure.Mainly the framework compliance of the existing Professional of platform, mean cited times are inquired.
Step4：Coupling learning module or course.According to the knowledge background of consumer's present condition<Social experience, education warp
It goes through, work experience, now Professional etc.>, the required knowledge modularization framework packet of the following Professional is selected, determines study
Module or course obtain the study module or course of needs, select the training for learning study course, course and the producer of the producer
To meet effective individualized learning.
The processing method meets Knowledge Worker's individualized learning demand, and it is flat to provide effective study for Knowledge Worker
Platform, break through tradition tissue internal learning constraint and conventional external training organization it is inefficient, be Knowledge Worker's Grow Your Own
Path is provided.
It should be pointed out that for the present invention through absolutely proving, can also have the embodiment of a variety of transformation and remodeling,
It is not limited to the specific embodiment of the above embodiment.Above-described embodiment as just the present invention explanation, rather than to this
The limitation of invention.In short, protection scope of the present invention should include that those are apparent to those skilled in the art
Transformation or replacement and remodeling.
Claims (6)
1. a kind of knowledge modularization architecture system, which is characterized in that including Professional knowledge hierarchy tree topology framework, root section
It is divided into 4 layers under point Professional, first layer is system layer, including the level of child nodes knowledge module 1 needed for Professional is until know
Know module J；Its next layer is course layer, including knowledge module 1 lower level of child nodes course 11 until course 1j, knowledge module J
Lower level of child nodes course k1 until course kj and other knowledge modules lower level of child nodes course；Next layer is elementary layer again,
Lower level of child nodes knowledge unit of the lower level of child nodes knowledge unit 111 including course 11 up to knowledge unit 11m, course 1j
1j1 until knowledge unit 1jm, course k1 lower level of child nodes knowledge unit k11 until knowledge unit k1m, course kj lower layer
Child node knowledge unit kj1 is until the lower level of child nodes knowledge unit of knowledge unit kjm and other courses；Last layer is knowledge
Point layer, including knowledge unit 111 lower level of child nodes knowledge point 1111 until knowledge point 111n, knowledge unit 11m lower straton
Node knowledge point 11m1 until knowledge point 11mn, knowledge unit 1j1 lower level of child nodes knowledge point 1j11 until knowledge point 1j1n,
The lower level of child nodes knowledge point 1jm1 of knowledge unit 1jm is up to the lower level of child nodes knowledge point of knowledge point 1jmn, knowledge unit k11
K111 until knowledge point k11n, knowledge unit k1m lower level of child nodes knowledge point k1m1 until knowledge point k1mn, knowledge unit
The lower level of child nodes knowledge point kj11 of kj1 until knowledge point kj1n, knowledge unit kjm lower level of child nodes knowledge point kjm1 until
The lower level of child nodes knowledge point of knowledge point kjmn and other knowledge units.
2. knowledge modularization architecture system according to claim 1, which is characterized in that the system layer and course layer are mould
Blockization is built, and the structure of the knowledge module of system layer and the course of course layer has independence；The system layer in different occupation post
Knowledge module and course layer course it is interchangeable；The knowledge module of system layer and the course of course layer can partly transplant multiplexing；
The elementary layer and knowledge point layer constitute the fundamental of Knowledge framework, and knowledge point layer needs explication.
3. knowledge modularization architecture system according to claim 1 or 2, which is characterized in that the Professional knowledge body
It is that the logical producer of tree topology framework independently builds or multiple producers cooperate with structure.
4. knowledge modularization architecture system according to claim 3, which is characterized in that the Professional knowledge hierarchy tree
Shape topological structure is built using collaboration：The system layer, course layer, elementary layer and knowledge point layer are cooperateed with by the different producers
Three layers of structure, wherein system layer, course layer, elementary layer platform mandate are shared, and the producer can directly borrow, and knowledge point layer needs knowledge
Proprietary owner authorized party can quote.
5. knowledge modularization architecture system according to claim 4, which is characterized in that the producer includes：To occupation
Post has the producer of complete knowledge framework, independent to build Professional knowledge hierarchy framework；To Professional profession or portion
The producer for dividing knowledge that there is deep insight, collaboration structure；To itself failing explication or the producer without independent opinion,
Can directly transplanting borrow the system layer of other producers, course layer, elementary layer and knowledge point layer.
6. a kind of processing method of knowledge modularization architecture system, which is characterized in that include the following steps：
（1）Determine it is expected Professional, according to consumer's present post industry track, platform recommend confidence degree can for reference not
Carry out Professional, alternatively, consumer selects own interests preference or it is expected Professional；
（2）Coupling learning module or course, according to the Professional that consumer selects, platform searches out required for this Professional
Modularization Knowledge framework, consumer meets the study packet or course of oneself demand according to knowledge background, work experience matching,
The study packet or course that acquisition needs select the training for learning study course, course and the producer of the producer of health practice, full
The effective individualized learning of foot.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109377802A (en) * | 2018-11-26 | 2019-02-22 | 暗物质(香港)智能科技有限公司 | A kind of automatic and interactive intellectual education system and method |
| CN111260339A (en) * | 2020-03-06 | 2020-06-09 | 福州数据技术研究院有限公司 | Method for collaborative construction and audit of professional knowledge system based on block chain |
| WO2022237401A1 (en) * | 2021-05-11 | 2022-11-17 | 浙江吉利控股集团有限公司 | Career aspiration-based educational method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109377802A (en) * | 2018-11-26 | 2019-02-22 | 暗物质(香港)智能科技有限公司 | A kind of automatic and interactive intellectual education system and method |
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Application publication date: 20181106 |