CN104765767B - For the knowledge store system and its knowledge searching method of intelligence learning - Google Patents
For the knowledge store system and its knowledge searching method of intelligence learning Download PDFInfo
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Abstract
The present invention discloses a kind of knowledge store system and its knowledge searching method for intelligence learning, the system includes: knowledge store library, it is used for stored knowledge, knowledge minimum memory unit in the knowledge store library is to see very clearly, and sees very clearly and refers to when the mankind obtain knowledge by suddenly seeing the light the rule that can be obtained or knowledge point；See very clearly the application scenarios that the knowledge content for including when storage has knowledge title, the verbal description of corresponding knowledge, picture and the story of corresponding knowledge point, corresponding knowledge；Search engine, search engine search for and inquire seeing very clearly for needs for user, which can convert corresponding knowledge point for corresponding keyword automatically and see very clearly；User knowledge spectrum data library, the incidence relation between different knowledge points to establish user oneself.The present invention can provide the strongest knowledge network of user-association, shorten time of the user when searching for knowledge using knowledge network, reduce the inquiry difficulty when searching for difficult problem relevant knowledge.
Description
Technical field
The invention belongs to field of computer technology more particularly to the knowledge store system and its knowledge of a kind of intelligence learning to search
Suo Fangfa.
Background technique
The knowledge store of current e-learning is all the storage that classifies according to subject system, can not be quickly found out most suitable
Close the relevant knowledge for solving customer problem.If a kind of knowledge store system and knowledge searching method can be developed, pass through
Being associated between the knowledge point and knowledge point that record user establishes is realized more intelligent by jumping characteristic thinking and associative thinking progress
Knowledge store and search；It then will great market prospects.
Summary of the invention
In order to solve the above-mentioned problems in the prior art, the present invention provide one kind can quickly, effectively find user
The knowledge store system and knowledge searching method of the intelligence learning of the correlated knowledge point needed.
For achieving the above object, a kind of technical solution provided by the invention are as follows: knowledge store system of intelligence learning
Including the following contents:
Knowledge store library, the knowledge store library are used for stored knowledge, the knowledge minimum memory in the knowledge store library
Unit is to see very clearly, this, which is seen very clearly, refers to when the mankind obtain knowledge by suddenly seeing the light the rule that can be obtained or knowledge point；It is described
Seeing very clearly the knowledge content for including when storage has knowledge title, the verbal description of corresponding knowledge, picture and the event of corresponding knowledge point
The application scenarios of thing, corresponding knowledge；
Search engine, described search engine search for and inquire seeing very clearly for needs for user, which can be automatic
Corresponding knowledge point is converted by corresponding keyword and is seen very clearly；
User knowledge spectrum data library, the incidence relation between different knowledge points to establish user oneself；
It is aforementioned to see very clearly the relating value being also stored between corresponding knowledge point in storage, the theme for seeing clearly rank and knowledge point
Type；
Number when aforementioned knowledge store library can browse corresponding knowledge point according to user records out the pass of corresponding knowledge point
Join number and rank, and corresponding see very clearly is ranked up according to the height of degree of incidence；When user searches again for being related to accordingly knowing
When knowing the keyword of point, search engine can carry out push correlated knowledge point according to the degree of association accordingly seen very clearly.
A kind of knowledge searching method of intelligence learning the following steps are included:
Step S1, creation of knowledge repository, the knowledge store library are used for stored knowledge, knowing in the knowledge store library
Knowing minimum memory unit is to see very clearly, this, which is seen very clearly, refers to when the mankind obtain knowledge by suddenly seeing the light the rule that can be obtained or knowing
Know point；It each sees very clearly and is stored in the form of card, the knowledge content for including when storage of seeing very clearly has knowledge title, corresponding
The application scenarios of the verbal description of knowledge, the story of picture and corresponding knowledge point, corresponding knowledge, and configured to card is seen very clearly
Relating value is seen clearly rank, type of subject and is numbered to each card of seeing very clearly；The relating value for each seeing very clearly card has recorded
With accordingly see very clearly that card is associated to see very clearly number and degree of incidence, closed by associated number to determine to see very clearly between card
The power of connection；
Step S2 creates user knowledge spectrum data library, establishes the incidence relation between the different knowledge points of user oneself；
Step S3 creates search engine, when user searches for knowledge point, search engine according to the knowledge point that is browsed
Degree of incidence sorts to push maximally related knowledge point from high to low.
In the step S3, when user searches for knowledge point, search engine converts phase for searched keyword automatically
That answers sees very clearly knowledge point, and returns to this and see very clearly knowledge point, at the same according to the sequence height that Knowledge Relation number is seen very clearly with this come
Push it is relevant see very clearly knowledge point, what push degree of incidence was high first sees very clearly knowledge point.
The invention has the benefit that
The present invention will see very clearly minimum memory unit as knowledge, and so-called see very clearly refers to that the mankind can pass through when obtaining knowledge
Suddenly see the light the rule that can be obtained or a knowledge point, is the minimum unit of knowledge composition.The reference format for seeing very clearly storage is
Title+verbal description+picture+story+application scenarios+application template.Each is seen very clearly, its relating attribute, user are recorded
The knowledge mapping for establishing oneself establishes the association between different knowledge points on the map of oneself.System records different knowledge points
Between the number that is associated, sought by associated number bat to determine associated power.Knowledge point is browsed or searched in user
When, system sorts to push maximally related knowledge point according to the degree of incidence with searched or browsing knowledge point from high to low.
The present invention can provide the strongest knowledge network of user-association, shorten user in search knowledge using knowledge network
When time, reduce inquiry difficulty when searching for difficult problem relevant knowledge.
Detailed description of the invention
Fig. 1 is flow diagram when knowledge store system and searching method of the invention carry out inquiry knowledge.
Specific embodiment
In order to make the objectives, technical solutions and advantages of the present invention clearer, below with reference to specific example and referring to attached
Figure, the present invention is described in more detail.It should be understood that these descriptions are merely illustrative, and it is not intended to limit of the invention
Range.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to avoid the present invention is unnecessarily obscured
Concept.
A kind of knowledge store system of intelligence learning includes the following contents:
Knowledge store library, the knowledge store library are used for stored knowledge, the knowledge minimum memory in the knowledge store library
Unit is to see very clearly, this, which is seen very clearly, refers to when the mankind obtain knowledge by suddenly seeing the light the rule that can be obtained or knowledge point；It is described
Seeing very clearly the knowledge content for including when storage has knowledge title, the verbal description of corresponding knowledge, picture and the event of corresponding knowledge point
The application scenarios of thing, corresponding knowledge；
Search engine, described search engine search for and inquire seeing very clearly for needs for user, which can be automatic
Corresponding knowledge point is converted by corresponding keyword and is seen very clearly；
User knowledge spectrum data library, the incidence relation between different knowledge points to establish user oneself；
It is aforementioned to see very clearly the relating value being also stored between corresponding knowledge point in storage, the theme for seeing clearly rank and knowledge point
Type；
Number when aforementioned knowledge store library can browse corresponding knowledge point according to user records out the pass of corresponding knowledge point
Join number and rank, and corresponding see very clearly is ranked up according to the height of degree of incidence；When user searches again for being related to accordingly knowing
When knowing the keyword of point, search engine can carry out push correlated knowledge point according to the degree of association accordingly seen very clearly.
As shown in Figure 1, a kind of knowledge searching method of intelligence learning the following steps are included:
Step S1, creation of knowledge repository, the knowledge store library are used for stored knowledge, knowing in the knowledge store library
Knowing minimum memory unit is to see very clearly, this, which is seen very clearly, refers to when the mankind obtain knowledge by suddenly seeing the light the rule that can be obtained or knowing
Know point；It each sees very clearly and is stored in the form of card, the knowledge content for including when storage of seeing very clearly has knowledge title, corresponding
The application scenarios of the verbal description of knowledge, the story of picture and corresponding knowledge point, corresponding knowledge, and configured to card is seen very clearly
Relating value is seen clearly rank, type of subject and is numbered to each card of seeing very clearly；The relating value for each seeing very clearly card has recorded
With accordingly see very clearly that card is associated to see very clearly number and degree of incidence, closed by associated number to determine to see very clearly between card
The power of connection；
Step S2 creates user knowledge spectrum data library, establishes the incidence relation between the different knowledge points of user oneself；
Step S3 creates search engine, when user searches for knowledge point, search engine according to the knowledge point that is browsed
Degree of incidence sorts to push maximally related knowledge point from high to low.
In the step S3, when user searches for knowledge point, search engine converts phase for searched keyword automatically
That answers sees very clearly knowledge point, and returns to this and see very clearly knowledge point, at the same according to the sequence height that Knowledge Relation number is seen very clearly with this come
Push it is relevant see very clearly knowledge point, what push degree of incidence was high first sees very clearly knowledge point.
Its operation logic are as follows: when user needs to search for corresponding knowledge point, input keyword, system Auto-matching are closed first
Keyword, keyword see very clearly card (i.e. accordingly with card database Auto-matching, the search engine return Keywords matching of system is seen very clearly
Knowledge point), simultaneity factor can also be closed according to corresponding to the association sequence return for seeing very clearly card of the return Keywords matching
Connection sees very clearly card (knowledge point i.e. associated with keyword)；And then these return the result the intelligence learning for being more advantageous to seeker,
It is facilitated to inquire desired knowledge point.
It should be understood that above-mentioned specific embodiment of the invention is used only for exemplary illustration or explains of the invention
Principle, but not to limit the present invention.Therefore, it is done without departing from thought and range of the invention any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.In addition, appended claims purport of the present invention
Covering the whole variations fallen into attached claim scope and boundary or this range and the equivalent form on boundary and is repairing
Change.
Claims (3)
1. a kind of knowledge store system for intelligence learning, which is characterized in that it includes the following contents:
Knowledge store library, the knowledge store library are used for stored knowledge, the knowledge minimum memory unit in the knowledge store library
To see very clearly, this, which is seen very clearly, refers to when the mankind obtain knowledge by suddenly seeing the light the rule that can be obtained or knowledge point；
The knowledge content for including when storage of seeing very clearly has knowledge title, the verbal description of corresponding knowledge, picture and accordingly knows
Know the story of point, the application scenarios of corresponding knowledge；
Search engine, described search engine search for and inquire seeing very clearly for needs for user, which can be automatically by phase
Keyword is answered to be converted into corresponding knowledge point and see very clearly；
User knowledge spectrum data library, the incidence relation between different knowledge points to establish user oneself；
It is aforementioned to see very clearly the relating value being also stored between corresponding knowledge point in storage, the theme class for seeing clearly rank and knowledge point
Type；
Number when aforementioned knowledge store library can browse corresponding knowledge point according to user records out the association time of corresponding knowledge point
Several and rank, and corresponding see very clearly is ranked up according to the height of degree of incidence；When user searches again for being related to corresponding knowledge point
Keyword when, search engine can carry out push correlated knowledge point according to the degree of association accordingly seen very clearly.
2. a kind of knowledge searching method for intelligence learning, which is characterized in that itself the following steps are included:
Step S1, creation of knowledge repository, the knowledge store library are used for stored knowledge, and the knowledge in the knowledge store library is most
Small storage cell is to see very clearly, this, which is seen very clearly, refers to when the mankind obtain knowledge by suddenly seeing the light the rule or knowledge that can obtain
Point；Each sees very clearly and stored in the form of card, it is described to see very clearly the knowledge content for including when storage and have knowledge title, accordingly know
The application scenarios of the verbal description of knowledge, the story of picture and corresponding knowledge point, corresponding knowledge, and closed to card configuration is seen very clearly
Connection value is seen clearly rank, type of subject and is numbered to each card of seeing very clearly；Each see very clearly card relating value have recorded with
It accordingly sees very clearly that card is associated to see very clearly number and degree of incidence, is associated with by associated number to determine to see very clearly between card
Power；
Step S2 creates user knowledge spectrum data library, establishes the incidence relation between the different knowledge points of user oneself；
Step S3 creates search engine, and when user searches for knowledge point, search engine is associated with according to the knowledge point that is browsed
Number sorts to push maximally related knowledge point from high to low.
3. a kind of knowledge searching method for intelligence learning according to claim 2, which is characterized in that the step S3
In, when user searches for knowledge point, search engine automatically converts searched keyword to and sees very clearly knowledge point accordingly, and returns
It returns this and sees very clearly knowledge point, while being pushed according to the sequence height for seeing very clearly Knowledge Relation number to this and relevant to see very clearly knowledge
Point, what push degree of incidence was high first sees very clearly knowledge point.
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| CN106469180A (en) * | 2015-08-21 | 2017-03-01 | 马正方 | The many condition searcher of knowledge based point |
| CN109492088A (en) * | 2018-09-19 | 2019-03-19 | 平安科技（深圳）有限公司 | Search result optimization sequencing method, device and computer readable storage medium |
| CN110321408B (en) * | 2019-05-30 | 2023-07-14 | 广东省智湾汇科技有限公司 | Searching method and device based on knowledge graph, computer equipment and storage medium |
| CN111191042A (en) * | 2019-12-10 | 2020-05-22 | 同济大学 | Knowledge graph path semantic relation-based search accuracy evaluation method |
| CN113505195A (en) * | 2021-06-24 | 2021-10-15 | 作业帮教育科技（北京）有限公司 | Knowledge base, construction method and retrieval method thereof, and question setting method and system based on knowledge base |
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| CN101661589A (en) * | 2009-09-09 | 2010-03-03 | 上海一佳一网络科技有限公司 | Learning management system based on competency model and knowledge management |
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