CN107832410A - A kind of recommendation method in knowledge based e-learning path - Google Patents
A kind of recommendation method in knowledge based e-learning path Download PDFInfo
- Publication number
- CN107832410A CN107832410A CN201711070369.XA CN201711070369A CN107832410A CN 107832410 A CN107832410 A CN 107832410A CN 201711070369 A CN201711070369 A CN 201711070369A CN 107832410 A CN107832410 A CN 107832410A
- Authority
- CN
- China
- Prior art keywords
- knowledge
- user
- knowledge point
- path
- point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
- G06F16/435—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The invention discloses a kind of recommendation method in knowledge based e-learning path, including：Step 1, knowledge point management module is built, knowledge point is managed according to attribute, builds knowledge network；Step 2, Resources for construction management module, educational resource is linked for each knowledge point；Step 3, exam pool module is established；Step 4, user management module is established；Step 5, knowledge point user not grasped forms user knowledge network path；Step 6, user's learning path is established according to user knowledge network path；Step 7, the educational resource of corresponding knowledge point is progressively called to learn for user according to the sequencing of knowledge point in knowledge network according to user's learning path；Step 8, the step 7 of repeat step 5, until user grasps all knowledge points in user knowledge network path.The present invention allows user to grasp the knowledge point that should possess comprehensively by learning path, the study of efficient knowledge point, the learning efficiency of General Promotion user, reaches knowledge without dead angle.
Description
Technical field
The present invention relates to IT application in education sector field, and in particular to a kind of recommendation method in knowledge based e-learning path.
Background technology
Internet (English：Internet), also known as world-wide web, or transliteration internet (Internet), internet, interconnection
Net starts from the Arpa net in the U.S. in 1969.It is the huge network being concatenated between network and network, these networks are led to one group
Agreement is connected, and forms single huge international network in logic.Usual internet refers to internet, and Internet is then
Refer in particular to internet.This method for being linked together computer network mutually can be referred to as " network interconnection ", be sent out on the basis of this
Put on display the global global internetwork of covering and claim internet, be to interconnect network structure together.Learn on network
Resource is a lot, is the ground of present student most direct study in addition to classroom, in learning process, student knows some student
Know in point or learning process and run into particular problem, high-quality resource is obtained by modes such as search, system personalized recommendations.Efficiently
Quickly grasp knowledge point or solve the particular problem run into.But just as knowledge on network is too many, too miscellaneous, knowledge
Study is the engineering of a system again, the efficient study of some knowledge point does not represent the efficient of learning process, only science
Learning path and knowledge point study are simultaneously efficient, and study can be efficient.Student is in learning process, it is impossible to objectively judges certainly
Whether oneself knowledge hierarchy is complete, if knowledge hierarchy is imperfect, is unable to which knowledge point of the judgement of system is not grasped again, and knows
Know point all possesses continuity, whether should start to grasp to previous knowledge point for not grasping knowledge point, can not fast,
Systematically make up the knowledge point deficiency of itself.
The content of the invention
The technical problems to be solved by the invention be existing study recommendation method can not fast, systematically make up student
Knowledge point deficiency is, and it is an object of the present invention to provide a kind of recommendation method in knowledge based e-learning path, the comprehensive, discovery itself of system
Knowledge point carry out knowledge point insufficient, point-to-pointly and make up.
The present invention is achieved through the following technical solutions：
A kind of recommendation method in knowledge based e-learning path, including：
Step 1, knowledge point management module is built, knowledge point is managed according to attribute, builds knowledge network；
Step 2, Resources for construction management module, educational resource is linked for each knowledge point；
Step 3, exam pool module is established；
Step 4, user management module is established；
Step 5, knowledge point test and appraisal are carried out to user, the knowledge point that user is not grasped forms user knowledge network path；
Step 6, user's learning path is established according to user knowledge network path；
Step 7, corresponding knowledge is progressively called according to the sequencing of knowledge point in knowledge network according to user's learning path
The educational resource of point learns for user；
Step 8, repeat step 5- steps 7, until user grasps all knowledge points in user knowledge network path.
Further, the attribute in step 1 includes term, grade, subject, higher level knowledge point, subordinate knowledge point.
Further, the educational resource in step 2 includes video, audio, document, picture.
Further, resource is also included in step 2 and increases module, resource updates module newly.
Further, step 5 specifically includes：Step 51, by user management module, user profile is obtained；
Step 52, the subject that user needs to test and assess is exported；
Step 53, knowledge network is exported from knowledge point management module according to attribute；
Step 54, the knowledge point in knowledge network, exam pool export corresponding examination question；
Step 55, answer result is preserved, exam pool carries out answer result judgement by judge module, and preserves judged result；
Step 56, build knowledge network track for answer result and preserve.
Further, step 7 specifically includes：Step 71, the learning path of user is obtained, finds the ranking first in path
Individual knowledge point；
Step 72, evaluation highest educational resource is called from resource module according to knowledge point；
Step 73, examination question corresponding to being exported according to knowledge point from exam pool；
Step 74, whether knowledge point is grasped according to user answer result judgement user；
Step 75, if user has grasped knowledge point, the user knowledge network path of user is updated, and updates simultaneously
Practise routing information.
Knowledge point is isolated, but precedence relationship between knowledge point and knowledge point be present, and a knowledge point may influence zero
To other multiple knowledge points, all knowledge points may be constructed an oriented knowledge knowledge network, thus can be according to term, year
Knowledge point management module is built in level, subject, higher level knowledge point, subordinate knowledge point, and knowledge point is managed according to attribute, builds
Knowledge network, after knowledge network is formed, student forms learning system storehouse to each knowledge point needed to be grasped in knowledge network；
Each knowledge point each links corresponding educational resource, and establishes different exam pools for each knowledge point；For different users,
The knowledge point of study is different, therefore sets user management module, and user management module is used for the identity for managing different user
Information, such as title, affiliated term, affiliated grade, history learning record etc.；By knowledge point test and appraisal, to screen user, which is known
Know point to grasp, which knowledge point is not grasped, and the knowledge point do not grasped is formed into user knowledge network path, because each user slaps
It is holding and not grasping will not be just the same, therefore user knowledge network path is different, due to the tandem of knowledge point, uses
Family learning path is also different, it is therefore desirable to for each user, corresponding learning path is set, learning path by it is multiple not
The knowledge point of grasp is formed, and each knowledge point links educational resource, treats user by the educational resource of the knowledge point in front end
Study finishes, then judges whether the knowledge point grasps by the examination question test of the knowledge point in exam pool, if grasped under i.e. entrance
The study of one-level knowledge point, if do not grasped, it will continue to learn the educational resource of the knowledge point, until knowledge point test is logical
Cross.A knowledge point is often grasped, user knowledge network path and user's learning path all can therefrom pick the knowledge point of grasp
Remove, untill being ignorant a little on user knowledge network path and user's learning path.
The present invention compared with prior art, has the following advantages and advantages：The invention reside in by certain term, certain learning
Section carries out knowledge point and enumerates to form knowledge network, then progressively proposes by measures the knowledge point do not grasped, to what is do not grasped
Knowledge point fast acquiring educational resource, user are specially learnt, so as to reach the knowledge point for improving user of system；Pass through section
Learning path, the study of efficient knowledge point, the learning efficiency of General Promotion user, while allow user to grasp comprehensively should to have
Standby knowledge point, reach knowledge without dead angle.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, with reference to embodiment, the present invention is made
Further to describe in detail, exemplary embodiment of the invention and its explanation are only used for explaining the present invention, are not intended as to this
The restriction of invention.
Embodiment
A kind of recommendation method in knowledge based e-learning path, it is characterised in that including：
Step 1, knowledge point management module is built, knowledge point is managed according to attribute, builds knowledge network；Step 1
In attribute include the term, grade, subject, higher level knowledge point, subordinate knowledge point.
Step 2, Resources for construction management module, educational resource is linked for each knowledge point；Educational resource in step 2 includes
Video, audio, document, picture；Also include resource in step 2 and increase module, resource updates module newly.
Step 3, exam pool module is established；Grasp of the user to knowledge point, it is necessary to by the study of high-quality educational resources, including
Video, PDF, WORD, picture etc..Educational resource is mounted to knowledge point.Resource management module is responsible for resource (video, audio, text
Shelves) management, resource management module newly-increased resource when, it is necessary to select the affiliated knowledge point of resource, 1..n can be selected.
Exam pool module is responsible for exercise management, in newly-increased exercise, it is necessary to knowledge point belonging to selection, can select 1..n.
Step 4, user management module is established；
Step 5, knowledge point test and appraisal are carried out to user, the knowledge point that user is not grasped forms user knowledge network path；
Step 5 specifically includes：Step 51, by user management module, user profile is obtained；
Step 52, the subject that user needs to test and assess is exported；
Step 53, knowledge network is exported from knowledge point management module according to attribute；
Step 54, the knowledge point in knowledge network, exam pool export corresponding examination question；
Step 55, answer result is preserved, exam pool carries out answer result judgement by judge module, and preserves judged result；
Step 56, build knowledge network track for answer result and preserve.
According to Back ground Informations such as the term of user, grade, subjects, the knowledge sub-network that user should possess is obtained, by knowing
Knowledge point in knowledge sub-network obtains examination question and carries out a group volume at random.User is answered paper, and system is carried out to answer result
Analysis, it is final to obtain user's current knowledge network path.
Step 6, user's learning path is established according to user knowledge network path；
Step 7, corresponding knowledge is progressively called according to the sequencing of knowledge point in knowledge network according to user's learning path
The educational resource of point learns for user；
Step 7 specifically includes：Step 71, the learning path of user is obtained, finds the knowledge of the ranking first in path
Point；
Step 72, evaluation highest educational resource is called from resource module according to knowledge point；
Step 73, examination question corresponding to being exported according to knowledge point from exam pool；
Step 74, whether knowledge point is grasped according to user answer result judgement user；
Step 75, if user has grasped knowledge point, the user knowledge network path of user is updated, and updates simultaneously
Practise routing information.
Step 8, repeat step 5- steps 7, until user grasps all knowledge points in user knowledge network path.
The present invention is mounted educational resource to knowledge point, according to user property, obtained using knowledge point structure knowledge network
The knowledge network of user.Using the knowledge point structure test and appraisal paper in knowledge network, by the Analysis on evaluation outcomes to user, obtain
To the knowledge network track of user.The learning path of science is formulated using knowledge network track, user enters step by step along path
Row study.The knowledge point being related in learning process, recommend educational resource to user.By the learning path of science, efficiently know
Know the study of point, the learning efficiency of General Promotion user, while allow user to grasp the knowledge point that should possess comprehensively, reach knowledge without
Dead angle.
Above-described embodiment, the purpose of the present invention, technical scheme and beneficial effect are carried out further
Describe in detail, should be understood that the embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc., all should include
Within protection scope of the present invention.
Claims (6)
- A kind of 1. recommendation method in knowledge based e-learning path, it is characterised in that including：Step 1, knowledge point management module is built, knowledge point is managed according to attribute, builds knowledge network；Step 2, Resources for construction management module, educational resource is linked for each knowledge point；Step 3, exam pool module is established；Step 4, user management module is established；Step 5, knowledge point test and appraisal are carried out to user, the knowledge point that user is not grasped forms user knowledge network path；Step 6, user's learning path is established according to user knowledge network path；Step 7, corresponding knowledge point is progressively called according to the sequencing of knowledge point in knowledge network according to user's learning path Educational resource learns for user；Step 8, repeat step 5- steps 7, until user grasps all knowledge points in user knowledge network path.
- A kind of 2. recommendation method in knowledge based e-learning path according to claim 1, it is characterised in that the step Attribute in rapid 1 includes term, grade, subject, higher level knowledge point, subordinate knowledge point.
- A kind of 3. recommendation method in knowledge based e-learning path according to claim 1, it is characterised in that the step Educational resource in rapid 2 includes video, audio, document, picture.
- A kind of 4. recommendation method in knowledge based e-learning path according to claim 1, it is characterised in that the step Also include resource in rapid 2 and increase module, resource updates module newly.
- A kind of 5. recommendation method in knowledge based e-learning path according to claim 1, it is characterised in that the step Rapid 5 specifically include：Step 51, by user management module, user profile is obtained；Step 52, the subject that user needs to test and assess is exported；Step 53, knowledge network is exported from knowledge point management module according to attribute；Step 54, the knowledge point in knowledge network, exam pool export corresponding examination question；Step 55, answer result is preserved, exam pool carries out answer result judgement by judge module, and preserves judged result；Step 56, build knowledge network track for answer result and preserve.
- A kind of 6. recommendation method in knowledge based e-learning path according to claim 1, it is characterised in that the step Rapid 7 specifically include：Step 71, the learning path of user is obtained, finds the knowledge point of the ranking first in path；Step 72, evaluation highest educational resource is called from resource module according to knowledge point；Step 73, examination question corresponding to being exported according to knowledge point from exam pool；Step 74, whether knowledge point is grasped according to user answer result judgement user；Step 75, if user has grasped knowledge point, the user knowledge network path of user, and renewal learning road simultaneously are updated Footpath information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711070369.XA CN107832410A (en) | 2017-11-03 | 2017-11-03 | A kind of recommendation method in knowledge based e-learning path |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711070369.XA CN107832410A (en) | 2017-11-03 | 2017-11-03 | A kind of recommendation method in knowledge based e-learning path |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107832410A true CN107832410A (en) | 2018-03-23 |
Family
ID=61653626
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711070369.XA Pending CN107832410A (en) | 2017-11-03 | 2017-11-03 | A kind of recommendation method in knowledge based e-learning path |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107832410A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108806341A (en) * | 2018-03-29 | 2018-11-13 | 上海乂学教育科技有限公司 | A kind of optimal individualized learning paths planning method |
| CN109359201A (en) * | 2018-10-15 | 2019-02-19 | 浙江蓝鸽科技有限公司 | Coding, storage method and its equipment of multimedia teaching resource |
| CN109508872A (en) * | 2018-10-29 | 2019-03-22 | 四川文轩教育科技有限公司 | A kind of regional teaching resource evaluating method based on big data |
| CN109670110A (en) * | 2018-12-20 | 2019-04-23 | 蒋文军 | A kind of educational resource recommended method, device, equipment and storage medium |
| CN109858806A (en) * | 2019-01-30 | 2019-06-07 | 网易（杭州）网络有限公司 | Method, apparatus, medium and the electronic equipment of data processing |
| CN109859554A (en) * | 2019-03-29 | 2019-06-07 | 上海乂学教育科技有限公司 | Adaptive english vocabulary learning classification pushes away topic device and computer learning system |
| CN110688574A (en) * | 2019-09-25 | 2020-01-14 | 湖南新云网科技有限公司 | Learning content recommendation method, system, device and readable storage medium |
| CN111488330A (en) * | 2020-03-18 | 2020-08-04 | 国药东风总医院 | Digital network teaching system for medical examination morphology |
| CN111814060A (en) * | 2020-09-02 | 2020-10-23 | 平安国际智慧城市科技股份有限公司 | Medical knowledge learning recommendation method and system |
| CN112905660A (en) * | 2021-02-05 | 2021-06-04 | 广东金融学院 | System and method for cultivating and managing talents of mid-high-post and local departments |
| CN113269666A (en) * | 2021-07-19 | 2021-08-17 | 北京爱论答科技有限公司 | Lesson preparation method and device based on test paper and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102508874A (en) * | 2011-10-15 | 2012-06-20 | 西安交通大学 | Method of generating navigation learning path on knowledge map |
| CN106156908A (en) * | 2015-03-26 | 2016-11-23 | 深圳中兴网信科技有限公司 | A kind of method and apparatus of management education resource |
| CN106991197A (en) * | 2017-05-30 | 2017-07-28 | 海南大学 | The study point and learning path of a kind of target drives of knowledge based collection of illustrative plates recommend method |
| CN107092706A (en) * | 2017-05-31 | 2017-08-25 | 海南大学 | The study point and learning path of a kind of target drives based on collection of illustrative plates towards 5W recommend method |
-
2017
- 2017-11-03 CN CN201711070369.XA patent/CN107832410A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102508874A (en) * | 2011-10-15 | 2012-06-20 | 西安交通大学 | Method of generating navigation learning path on knowledge map |
| CN106156908A (en) * | 2015-03-26 | 2016-11-23 | 深圳中兴网信科技有限公司 | A kind of method and apparatus of management education resource |
| CN106991197A (en) * | 2017-05-30 | 2017-07-28 | 海南大学 | The study point and learning path of a kind of target drives of knowledge based collection of illustrative plates recommend method |
| CN107092706A (en) * | 2017-05-31 | 2017-08-25 | 海南大学 | The study point and learning path of a kind of target drives based on collection of illustrative plates towards 5W recommend method |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108806341A (en) * | 2018-03-29 | 2018-11-13 | 上海乂学教育科技有限公司 | A kind of optimal individualized learning paths planning method |
| CN109359201B (en) * | 2018-10-15 | 2021-07-30 | 浙江蓝鸽科技有限公司 | Coding and storing method and device for multimedia teaching resource |
| CN109359201A (en) * | 2018-10-15 | 2019-02-19 | 浙江蓝鸽科技有限公司 | Coding, storage method and its equipment of multimedia teaching resource |
| CN109508872A (en) * | 2018-10-29 | 2019-03-22 | 四川文轩教育科技有限公司 | A kind of regional teaching resource evaluating method based on big data |
| CN109670110A (en) * | 2018-12-20 | 2019-04-23 | 蒋文军 | A kind of educational resource recommended method, device, equipment and storage medium |
| CN109858806A (en) * | 2019-01-30 | 2019-06-07 | 网易（杭州）网络有限公司 | Method, apparatus, medium and the electronic equipment of data processing |
| CN109859554A (en) * | 2019-03-29 | 2019-06-07 | 上海乂学教育科技有限公司 | Adaptive english vocabulary learning classification pushes away topic device and computer learning system |
| CN110688574A (en) * | 2019-09-25 | 2020-01-14 | 湖南新云网科技有限公司 | Learning content recommendation method, system, device and readable storage medium |
| CN111488330A (en) * | 2020-03-18 | 2020-08-04 | 国药东风总医院 | Digital network teaching system for medical examination morphology |
| CN111814060A (en) * | 2020-09-02 | 2020-10-23 | 平安国际智慧城市科技股份有限公司 | Medical knowledge learning recommendation method and system |
| CN111814060B (en) * | 2020-09-02 | 2021-01-15 | 平安国际智慧城市科技股份有限公司 | Medical knowledge learning recommendation method and system |
| CN112905660A (en) * | 2021-02-05 | 2021-06-04 | 广东金融学院 | System and method for cultivating and managing talents of mid-high-post and local departments |
| CN112905660B (en) * | 2021-02-05 | 2022-12-20 | 广东金融学院 | System and method for culturing and managing high-post talents and domestic talents |
| CN113269666A (en) * | 2021-07-19 | 2021-08-17 | 北京爱论答科技有限公司 | Lesson preparation method and device based on test paper and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107832410A (en) | A kind of recommendation method in knowledge based e-learning path | |
| Vörös et al. | Cluster analysis of multiplex networks: Defining composite network measures | |
| Moscardo | The role of knowledge in good governance for tourism | |
| Haji et al. | Teachers' Use of Information and Communications Technology in Education: Cameroon Secondary Schools Perspectives. | |
| Farruggia et al. | The Effectiveness of Youth Mentoring Programmes in New Zealand. | |
| Mauro et al. | The effectiveness of community-based rehabilitation programmes: an impact evaluation of a quasi-randomised trial | |
| Park et al. | Lessons from South Korea’s digital divide index (DDI) | |
| Mathebula | Community participation in the South African local government dispensation: A public administration scholastic misnomer | |
| Abul-Fottouh et al. | Solidarity or schism: ideological congruence and the Twitter networks of Egyptian activists | |
| Gaber | Seeing the community’s perspective through multiple emic and etic vistas | |
| Saurin et al. | RETRACTED: identification of non-technical skills from the resilience engineering perspective: a case study of an electricity distributor | |
| Madon | Re-examining the relationship between age and confidence in the police in Canada | |
| Johansson et al. | Multilevel strategies for political influence: How and why do domestic civil society organisations seek political influence at national and EU levels? | |
| Latif et al. | Attitude and perception differences among international students and local students: A case study of Australia and New Zealand | |
| Sundt et al. | Using data to support online student communities | |
| Billingsley et al. | Improving Participants' experience in the online survey process | |
| CN106384318A (en) | Hadoop based learning cloud paas (platform-as-a-service) platform construction method | |
| ĐorĎević et al. | Impacts of the music festival Lovefest on the attitudes of the local population in Vrnjačka Banja | |
| Zhou et al. | Topical authority identification in community question answering | |
| Bodoff | Test theory for evaluating reliability of IR test collections | |
| Yin et al. | Observing personalizations in learning: Identifying heterogeneous treatment effects using causal trees | |
| JP2016502202A (en) | Method and device for optimizing information diffusion between communities linked by interaction similarity | |
| Teo et al. | Visualizing and analyzing productive structures and patterns in online communities using multilevel social network analysis | |
| CN108830759B (en) | Subject knowledge description method | |
| Steinert | Research for the Internationalisation of Vocational Education and Training”–a Mapping Review of a Federal Funding German Research Program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180323 |