CN104765767A - Knowledge storage algorithm for intelligent learning - Google Patents
Knowledge storage algorithm for intelligent learning Download PDFInfo
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- CN104765767A CN104765767A CN201510092589.7A CN201510092589A CN104765767A CN 104765767 A CN104765767 A CN 104765767A CN 201510092589 A CN201510092589 A CN 201510092589A CN 104765767 A CN104765767 A CN 104765767A
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Abstract
The invention discloses a knowledge storage algorithm for intelligent learning. The knowledge storage algorithm involves a knowledge storage database, a search engine and a user knowledge map database, wherein the knowledge storage database is used for storing knowledge; the minimum storage unit of the knowledge storage database is insight which is a rule or a knowledge point acquired by people suffering from sudden enlightenment during acquiring the knowledge when in insight storage, the knowledge title, text description of corresponding knowledge, pictures, stories of corresponding knowledge points, and application scenes of corresponding knowledge are included; the search engine is used for searching and querying the insight by a user as requirement; the search engine can automatically convert corresponding keywords into the corresponding knowledge points and insight; the user knowledge map database is used for building association of different knowledge points of the user. With the adoption of the algorithm, the high-association knowledge network can be provided to the user; the time of the user searching the knowledge can be reduced through the knowledge network, and the difficulty at querying of knowledge related to difficult problem can be reduced.
Description
Technical field
The invention belongs to field of computer technology, particularly relate to a kind of knowledge store system and knowledge searching method thereof of intelligent learning.
Background technology
The knowledge store of current e-learning is all classify according to subject system to deposit, and cannot find the relevant knowledge of the most applicable solution customer problem fast.If can develop a kind of knowledge store system and knowledge searching method, its knowledge point set up by recording user and associating between knowledge point, realize carrying out more intelligent knowledge store and search by jumping characteristic thinking and associative thinking; Then market outlook will be had.
Summary of the invention
In order to solve the above-mentioned problems in the prior art, the invention provides a kind of knowledge store system and knowledge searching method of intelligent learning of the correlated knowledge point that can fast, effectively find user to need.
For achieving the above object, technical scheme provided by the invention is: a kind of knowledge store system of intelligent learning comprises following content:
Knowledge store storehouse, described knowledge store storehouse is used for stored knowledge, and the knowledge minimum memory unit in this knowledge store storehouse is for seeing very clearly, and this is seen very clearly when referring to that the mankind obtain knowledge by suddenly seeing the light a rule or knowledge point that can obtain; The described knowledge content comprised when seeing very clearly storage has the text description of knowledge title, corresponding knowledge, picture and the story of corresponding knowledge point, the application scenarios of corresponding knowledge;
Search engine, described search engine is used for user search and inquires about seeing very clearly of needs, and corresponding keyword can be converted into corresponding knowledge point and see very clearly by this search engine automatically;
User knowledge spectrum data storehouse, its in order to set up user oneself different knowledge points between incidence relation;
Aforementionedly see very clearly the type of theme also storing relating value between corresponding knowledge point when storing, seeing clearly rank and knowledge point;
Number of times record when corresponding knowledge point can be browsed according to user in aforementioned knowledge store storehouse goes out degree of incidence and the rank of corresponding knowledge point, and sorts to corresponding seeing very clearly according to the height of degree of incidence; When user searches for the keyword relating to corresponding knowledge point again, search engine can carry out propelling movement correlated knowledge point according to the corresponding degree of association of seeing very clearly.
A kind of knowledge searching method of intelligent learning comprises the following steps:
Step S1, creation of knowledge thesaurus, described knowledge store storehouse is used for stored knowledge, and the knowledge minimum memory unit in this knowledge store storehouse is for seeing very clearly, and this is seen very clearly when referring to that the mankind obtain knowledge by suddenly seeing the light a rule or knowledge point that can obtain; Each seeing very clearly stores with the form of card, the described knowledge content comprised when seeing very clearly storage has the text description of knowledge title, corresponding knowledge, picture and the story of corresponding knowledge point, the application scenarios of corresponding knowledge, and to seeing very clearly card configuration association value, see clearly rank, type of subject and being numbered to each card of seeing very clearly; Each relating value seeing very clearly card have recorded to be seen very clearly seeing very clearly that card is associated number and degree of incidence with corresponding, is decided to see very clearly the power associated between card by associated number of times;
Step S2, creates user knowledge spectrum data storehouse, the incidence relation between the different knowledge points setting up user oneself;
Step S3, create search engine, when user search knowledge point, search engine sorts from high to low according to the degree of incidence with viewed knowledge point and pushes maximally related knowledge point.
In described step S3, when user search knowledge point, searched keyword is converted into and sees very clearly knowledge point accordingly by search engine automatically, and return this and see very clearly knowledge point, simultaneously according to and this sequence height seeing very clearly Knowledge Relation number of times push and relevant see very clearly knowledge point, first push degree of incidence high see very clearly knowledge point.
Beneficial effect of the present invention is:
The minimum memory unit that the present invention will see very clearly as knowledge, it can, by suddenly seeing the light a rule or a knowledge point that can obtain, be the least unit of knowledge composition that what is called sees very clearly mankind when referring to acquisition knowledge.The standard format seeing very clearly storage is title+text description+picture+story+application scenarios+applying template.See very clearly for each, record its relating attribute, user sets up oneself knowledge mapping, and the collection of illustrative plates of oneself is set up the association between different knowledge point.Number of times associated between the different knowledge point of system log (SYSLOG), claps the power of seeking and deciding to associate by associated number of times.When user browses or search for knowledge point, system sorts from high to low according to the degree of incidence with knowledge point that is searched or that browse and pushes maximally related knowledge point.
The present invention can provide the strongest knowledge network of user-association, utilizing knowledge network to shorten the time of user when searching for knowledge, reducing the inquiry difficulty when searching for difficult problem relevant knowledge.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet that knowledge store system of the present invention and searching method carry out when inquiring about knowledge.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with instantiation also with reference to accompanying drawing, the present invention is described in more detail.Should be appreciated that, these describe just exemplary, and do not really want to limit the scope of the invention.In addition, in the following description, the description to known features and technology is eliminated, to avoid unnecessarily obscuring concept of the present invention.
A kind of knowledge store system of intelligent learning comprises following content:
Knowledge store storehouse, described knowledge store storehouse is used for stored knowledge, and the knowledge minimum memory unit in this knowledge store storehouse is for seeing very clearly, and this is seen very clearly when referring to that the mankind obtain knowledge by suddenly seeing the light a rule or knowledge point that can obtain; The described knowledge content comprised when seeing very clearly storage has the text description of knowledge title, corresponding knowledge, picture and the story of corresponding knowledge point, the application scenarios of corresponding knowledge;
Search engine, described search engine is used for user search and inquires about seeing very clearly of needs, and corresponding keyword can be converted into corresponding knowledge point and see very clearly by this search engine automatically;
User knowledge spectrum data storehouse, its in order to set up user oneself different knowledge points between incidence relation;
Aforementionedly see very clearly the type of theme also storing relating value between corresponding knowledge point when storing, seeing clearly rank and knowledge point;
Number of times record when corresponding knowledge point can be browsed according to user in aforementioned knowledge store storehouse goes out degree of incidence and the rank of corresponding knowledge point, and sorts to corresponding seeing very clearly according to the height of degree of incidence; When user searches for the keyword relating to corresponding knowledge point again, search engine can carry out propelling movement correlated knowledge point according to the corresponding degree of association of seeing very clearly.
As shown in Figure 1, a kind of knowledge searching method of intelligent learning comprises the following steps:
Step S1, creation of knowledge thesaurus, described knowledge store storehouse is used for stored knowledge, and the knowledge minimum memory unit in this knowledge store storehouse is for seeing very clearly, and this is seen very clearly when referring to that the mankind obtain knowledge by suddenly seeing the light a rule or knowledge point that can obtain; Each seeing very clearly stores with the form of card, the described knowledge content comprised when seeing very clearly storage has the text description of knowledge title, corresponding knowledge, picture and the story of corresponding knowledge point, the application scenarios of corresponding knowledge, and to seeing very clearly card configuration association value, see clearly rank, type of subject and being numbered to each card of seeing very clearly; Each relating value seeing very clearly card have recorded to be seen very clearly seeing very clearly that card is associated number and degree of incidence with corresponding, is decided to see very clearly the power associated between card by associated number of times;
Step S2, creates user knowledge spectrum data storehouse, the incidence relation between the different knowledge points setting up user oneself;
Step S3, create search engine, when user search knowledge point, search engine sorts from high to low according to the degree of incidence with viewed knowledge point and pushes maximally related knowledge point.
In described step S3, when user search knowledge point, searched keyword is converted into and sees very clearly knowledge point accordingly by search engine automatically, and return this and see very clearly knowledge point, simultaneously according to and this sequence height seeing very clearly Knowledge Relation number of times push and relevant see very clearly knowledge point, first push degree of incidence high see very clearly knowledge point.
Its operation logic is: when user needs to search for corresponding knowledge point, first keyword is inputted, system Auto-matching keyword, keyword with see very clearly card database Auto-matching, what the search engine of system returned Keywords matching sees very clearly card (i.e. corresponding knowledge point), and simultaneity factor can also return respective associated see very clearly card (knowledge point be namely associated with keyword) according to the sequence that associates seeing very clearly card returning Keywords matching with this; And then these return results the intelligent learning being more conducive to seeker, the knowledge point facilitating it to inquire to want.
Should be understood that, above-mentioned embodiment of the present invention only for exemplary illustration or explain principle of the present invention, and is not construed as limiting the invention.Therefore, any amendment made when not departing from thought of the present invention and scope, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.In addition, claims of the present invention be intended to contain fall into claims scope and border or this scope and border equivalents in whole change and amendment.
Claims (3)
1. for a knowledge store algorithm for intelligent learning, it is characterized in that, it comprises following content:
Knowledge store storehouse, described knowledge store storehouse is used for stored knowledge, and the knowledge minimum memory unit in this knowledge store storehouse is for seeing very clearly, and this is seen very clearly when referring to that the mankind obtain knowledge by suddenly seeing the light a rule or knowledge point that can obtain; The described knowledge content comprised when seeing very clearly storage has the text description of knowledge title, corresponding knowledge, picture and the story of corresponding knowledge point, the application scenarios of corresponding knowledge;
Search engine, described search engine is used for user search and inquires about seeing very clearly of needs, and corresponding keyword can be converted into corresponding knowledge point and see very clearly by this search engine automatically;
User knowledge spectrum data storehouse, its in order to set up user oneself different knowledge points between incidence relation;
Aforementionedly see very clearly the type of theme also storing relating value between corresponding knowledge point when storing, seeing clearly rank and knowledge point;
Number of times record when corresponding knowledge point can be browsed according to user in aforementioned knowledge store storehouse goes out degree of incidence and the rank of corresponding knowledge point, and sorts to corresponding seeing very clearly according to the height of degree of incidence; When user searches for the keyword relating to corresponding knowledge point again, search engine can carry out propelling movement correlated knowledge point according to the corresponding degree of association of seeing very clearly.
2. for a knowledge searching method for intelligent learning, it is characterized in that, it comprises the following steps:
Step S1, creation of knowledge thesaurus, described knowledge store storehouse is used for stored knowledge, and the knowledge minimum memory unit in this knowledge store storehouse is for seeing very clearly, and this is seen very clearly when referring to that the mankind obtain knowledge by suddenly seeing the light a rule or knowledge point that can obtain; Each seeing very clearly stores with the form of card, the described knowledge content comprised when seeing very clearly storage has the text description of knowledge title, corresponding knowledge, picture and the story of corresponding knowledge point, the application scenarios of corresponding knowledge, and to seeing very clearly card configuration association value, see clearly rank, type of subject and being numbered to each card of seeing very clearly; Each relating value seeing very clearly card have recorded to be seen very clearly seeing very clearly that card is associated number and degree of incidence with corresponding, is decided to see very clearly the power associated between card by associated number of times;
Step S2, creates user knowledge spectrum data storehouse, the incidence relation between the different knowledge points setting up user oneself;
Step S3, create search engine, when user search knowledge point, search engine sorts from high to low according to the degree of incidence with viewed knowledge point and pushes maximally related knowledge point.
3. the knowledge searching method of a kind of intelligent learning according to claim 2, it is characterized in that, in described step S3, when user search knowledge point, searched keyword is converted into and sees very clearly knowledge point accordingly by search engine automatically, and return this and see very clearly knowledge point, simultaneously according to and this sequence height seeing very clearly Knowledge Relation number of times push and relevant see very clearly knowledge point, first push degree of incidence high see very clearly knowledge point.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2017032225A1 (en) * | 2015-08-21 | 2017-03-02 | 马正方 | Device for multiple condition search based on knowledge points |
| 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 |
| CN110321408A (en) * | 2019-05-30 | 2019-10-11 | 重庆金融资产交易所有限责任公司 | Searching method, device, computer equipment and the storage medium of knowledge based map |
| 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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| WO2017032225A1 (en) * | 2015-08-21 | 2017-03-02 | 马正方 | Device for multiple condition search based on knowledge points |
| 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 |
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| 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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