CN112632298A - Digital education resource retrieval system - Google Patents
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Abstract
The application discloses digital education resource retrieval system includes: the central processing module is used for overall processing of the data of the whole process; the database is in signal connection with the central processing module; used for storing the data to be retrieved; the data acquisition module is electrically connected with the central processing module; the system is used for importing external data into a database, so that the retrieval is convenient; the retrieval module is used for realizing retrieval by inputting the keywords in the retrieval module; and the database updating module is used for automatically updating the database when new data are recorded. In the scheme, the educational resources are classified in a multi-dimensional mode, the user information setting module is set, and after the user sets own basic information, such as grade and teaching material version, during searching, the user only needs to search in the corresponding sub-data paths, so that the searching speed is higher, the searched information is more accurate, and the pressure on the database and the searching engine is lower.
Description
Technical Field
The application relates to the technical field of data retrieval, in particular to a digital education resource retrieval system.
Background
The digital education resources correspond to the conventional paper education resources. Digital education resources, although not yet formed a unified definition, from the practice of research and development and publishing, mainly include videos, audios, pictures, texts and the like in technical classification; the representation forms include, but are not limited to, digital teaching materials, micro-lessons, courseware, study plans, teaching plans, test questions, test papers, interactive virtual simulation experiments, teaching materials and the like.
Digital education resource technology has become a hotspot in the technical field of modern network education, and how to accurately locate and retrieve education resources required by users is the key of the research of information retrieval technology at present.
The existing digital teaching resource retrieval system has the following defects: full-text multi-dimensional retrieval is lacked from the perspective of resource retrieval; after the data reaches the million level, the pressure on the retrieval performance of the relational database is high, and the retrieval instantaneity is poor; it is difficult to quickly classify data resources of a database.
Disclosure of Invention
It is a primary object of the present application to provide a digital education resource retrieval system to improve the problems of the related art.
In order to achieve the above objects, the present application provides a digital education resource retrieval system including:
the central processing module is used for overall processing of the data of the whole process;
the database is in signal connection with the central processing module; used for storing the data to be retrieved;
the data acquisition module is electrically connected with the central processing module; the system is used for importing external data into a database, so that the retrieval is convenient;
the retrieval module is used for realizing retrieval by inputting the keywords in the retrieval module;
and the database updating module is used for automatically updating the database when new data are recorded.
In one embodiment of the present application, the data acquisition module includes a comparison character library;
the contrast character library is composed of a plurality of groups of contrast character sub-libraries, the grade is used as an X axis, the subject is used as a Y axis, and each unit interval is used as a contrast character sub-library;
the contrast character library is provided with distinguishing characters of various subjects of various grades;
the database comprises a plurality of sub databases, the number of the sub databases is equal to that of the contrast character sub databases, and the sub databases and the contrast character sub databases are arranged in parallel;
and when data is acquired, comparing the acquired data with the distinguishing characters in the comparison character sub-base, and classifying the data into the corresponding sub-base if the coincidence degree of the data and the distinguishing characters in a certain comparison character sub-base is high.
In an embodiment of the present application, when comparing the data with the difference characters in the comparison character sub-library, the specific rule for taking is as follows:
when the coincidence degree of one piece of data and the data in a certain contrast character sub-library is greater than 50% and the coincidence degree of the piece of data and the data in other contrast character sub-libraries is less than 10%, classifying the data into a sub-database corresponding to the contrast character sub-library;
other cases are classified as pending data.
In an embodiment of the present application, the system includes a manual review module, which is used for a worker to manually review the pending data and distribute the pending data to the corresponding word database.
In an embodiment of the present application, when there is no subject in a certain grade, the comparison character sub-library is set as a blank database and discarded;
and when the comparison character sub-database is a blank database, the corresponding sub-database is not used.
In one embodiment of the application, a teaching material version is set as a Z axis, and each comparison character sub-library consists of a grade, a subject and the teaching material version;
the contrast character sub-library is internally provided with distinctive characters specific to the grade, subject and teaching material version;
the database comprises a plurality of sub-databases, the number of the sub-databases is equal to that of the contrast character sub-databases, and the sub-databases and the contrast character sub-databases are arranged in parallel.
In one embodiment of the present application, a knowledge layering module is provided; setting an upgrading knowledge special character library in the knowledge layering module;
dividing the data into basic knowledge data and updated knowledge data according to the updated knowledge special characters;
the knowledge layering module can be set into an opening mode and a closing mode, and a user can freely select to close the knowledge layering module after opening.
In an embodiment of the application, the updated knowledge special character library is composed of characters, including words and keywords, specific to the topics with higher difficulty in the current grade.
In one embodiment of the present application,
the system also comprises a login module, and a user can login in the system through the login module;
a user information setting module; the user can set the basic information of the user through the user information setting module.
Compared with the prior art, the beneficial effects of this application are:
1. through the digital education resource retrieval system, when the digital education resource retrieval system is used, the digital education resource retrieval system carries out multi-dimensional classification on education resources and sets the user information setting module, after a user sets own basic information, such as the grade and the teaching material version, during searching, only the corresponding sub-data path is needed to be searched, the retrieval speed is higher, the searched information is more accurate, the pressure on a database and a retrieval engine is lower, and the digital education resource retrieval system is convenient for teachers and students to use;
2. when the digital education resource retrieval system is used, the comparison character library is composed of a plurality of pairs of comparison character sub-libraries, the grade is taken as an X axis, the subject is taken as a Y axis, and each unit interval is taken as a comparison character sub-library; the contrast character library is provided with distinguishing characters of various subjects of various grades; the database comprises a plurality of sub databases, the number of the sub databases is equal to that of the contrast character sub databases, and the sub databases and the contrast character sub databases are arranged in parallel; and when data is acquired, comparing the acquired data with the distinguishing characters in the comparison character sub-base, and classifying the data into the corresponding sub-base if the coincidence degree of the data and the distinguishing characters in a certain comparison character sub-base is high. Setting a teaching material version as a Z axis, wherein each contrast character sub-library consists of a grade, a subject and the teaching material version; the contrast character sub-library is internally provided with distinctive characters specific to the grade, subject and teaching material version; the database comprises a plurality of sub-databases, the number of the sub-databases is equal to that of the contrast character sub-databases, and the sub-databases and the contrast character sub-databases are arranged in parallel. The digital teaching resources can be rapidly classified, so that the retrieval is convenient to carry out.
Drawings
Fig. 1 is a block diagram illustrating a digital education resource retrieval system provided according to an embodiment of the present application;
fig. 2 is a block diagram showing the construction of a digital education resource retrieval system according to an embodiment 3 of the present application;
fig. 3 is a flowchart of data collection of a digital education resource retrieval system provided according to an embodiment of the present application;
fig. 4 is a flowchart of data classification in an embodiment 1 of the digital education resource retrieval system provided according to the embodiment of the present application;
fig. 5 is a flowchart of data classification in an embodiment 4 of the digital education resource retrieval system according to the embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Example 1
Referring to fig. 1, 3 and 4, the present application provides a digital education resource retrieval system including:
the central processing module is used for overall processing of the data of the whole process;
the database is in signal connection with the central processing module; used for storing the data to be retrieved;
the data acquisition module is electrically connected with the central processing module; the system is used for importing external data into a database, so that the retrieval is convenient;
the retrieval module is used for realizing retrieval by inputting the keywords in the retrieval module;
and the database updating module is used for automatically updating the database when new data are recorded.
The data acquisition module comprises a contrast character library;
the contrast character library is composed of a plurality of groups of contrast character sub-libraries, the grade is used as an X axis, the subject is used as a Y axis, and each unit interval is used as a contrast character sub-library;
the contrast character library is provided with distinguishing characters of various subjects of various grades;
the database comprises a plurality of sub databases, the number of the sub databases is equal to that of the contrast character sub databases, and the sub databases and the contrast character sub databases are arranged in parallel;
and when data is acquired, comparing the acquired data with the distinguishing characters in the comparison character sub-base, and classifying the data into the corresponding sub-base if the coincidence degree of the data and the distinguishing characters in a certain comparison character sub-base is high.
When the data is compared with the distinguishing characters in the comparison character sub-library, the specific access rule is as follows:
when the coincidence degree of one piece of data and the data in a certain contrast character sub-library is greater than 50% and the coincidence degree of the piece of data and the data in other contrast character sub-libraries is less than 10%, classifying the data into a sub-database corresponding to the contrast character sub-library;
other cases are classified as pending data.
The system comprises a manual auditing module, which is used for auditing the pending data manually by staff and distributing the pending data to a corresponding word database.
When no subject exists in a certain grade, setting the contrast character sub-library as an empty database and abandoning the database;
and when the comparison character sub-database is a blank database, the corresponding sub-database is not used.
Setting a teaching material version as a Z axis, wherein each contrast character sub-library consists of a grade, a subject and the teaching material version;
the contrast character sub-library is internally provided with distinctive characters specific to the grade, subject and teaching material version;
the database comprises a plurality of sub-databases, the number of the sub-databases is equal to that of the contrast character sub-databases, and the sub-databases and the contrast character sub-databases are arranged in parallel.
The retrieval system carries out multi-dimensional classification on educational resources, sets a user information setting module, and after a user sets own basic information, such as grade and teaching material version, during searching, only needs to search in corresponding sub-data paths, so that the retrieval speed is higher, the searched information is more accurate, the pressure on a database and a retrieval engine is lower, and the system is convenient for teachers and students to use.
Setting a knowledge layering module; setting an upgrading knowledge special character library in the knowledge layering module;
dividing the data into basic knowledge data and updated knowledge data according to the updated knowledge special characters;
the knowledge layering module can be set into an opening mode and a closing mode, and a user can freely select to close the knowledge layering module after opening.
The special character library for knowledge upgrading is composed of special characters in the topics with higher difficulty in the current grade, and the special characters comprise words and key words.
The system also comprises a login module, and a user can login in the system through the login module;
a user information setting module; the user can set the basic information of the user through the user information setting module.
Example 2
Referring to fig. 1, 3 and 4, the present application provides a digital education resource retrieval system including:
the central processing module is used for overall processing of the data of the whole process;
the database is in signal connection with the central processing module; used for storing the data to be retrieved;
the data acquisition module is electrically connected with the central processing module; the system is used for importing external data into a database, so that the retrieval is convenient;
the retrieval module is used for realizing retrieval by inputting the keywords in the retrieval module;
and the database updating module is used for automatically updating the database when new data are recorded.
The data acquisition module comprises a contrast character library;
the contrast character library is composed of a plurality of groups of contrast character sub-libraries, the grade is used as an X axis, the subject is used as a Y axis, and each unit interval is used as a contrast character sub-library;
the contrast character library is provided with distinguishing characters of various subjects of various grades;
the database comprises a plurality of sub databases, the number of the sub databases is equal to that of the contrast character sub databases, and the sub databases and the contrast character sub databases are arranged in parallel;
and when data is acquired, comparing the acquired data with the distinguishing characters in the comparison character sub-base, and classifying the data into the corresponding sub-base if the coincidence degree of the data and the distinguishing characters in a certain comparison character sub-base is high.
When the data is compared with the distinguishing characters in the comparison character sub-library, the specific access rule is as follows:
when the coincidence degree of one piece of data and the data in a certain contrast character sub-library is greater than 50% and the coincidence degree of the piece of data and the data in other contrast character sub-libraries is less than 10%, classifying the data into a sub-database corresponding to the contrast character sub-library;
other cases are classified as pending data.
The system comprises a manual auditing module, which is used for auditing the pending data manually by staff and distributing the pending data to a corresponding word database.
When no subject exists in a certain grade, setting the contrast character sub-library as an empty database and abandoning the database;
and when the comparison character sub-database is a blank database, the corresponding sub-database is not used.
Setting a knowledge layering module; setting an upgrading knowledge special character library in the knowledge layering module;
dividing the data into basic knowledge data and updated knowledge data according to the updated knowledge special characters;
the knowledge layering module can be set into an opening mode and a closing mode, and a user can freely select to close the knowledge layering module after opening.
The special character library for knowledge upgrading is composed of special characters in the topics with higher difficulty in the current grade, and the special characters comprise words and key words.
The system also comprises a login module, and a user can login in the system through the login module;
a user information setting module; the user can set the basic information of the user through the user information setting module.
Example 3
Referring to fig. 2, 3 and 4, the present application provides a digital education resource retrieval system, comprising:
the central processing module is used for overall processing of the data of the whole process;
the database is in signal connection with the central processing module; used for storing the data to be retrieved;
the data acquisition module is electrically connected with the central processing module; the system is used for importing external data into a database, so that the retrieval is convenient;
the retrieval module is used for realizing retrieval by inputting the keywords in the retrieval module;
and the database updating module is used for automatically updating the database when new data are recorded.
The data acquisition module comprises a contrast character library;
the contrast character library is composed of a plurality of groups of contrast character sub-libraries, the grade is used as an X axis, the subject is used as a Y axis, and each unit interval is used as a contrast character sub-library;
the contrast character library is provided with distinguishing characters of various subjects of various grades;
the database comprises a plurality of sub databases, the number of the sub databases is equal to that of the contrast character sub databases, and the sub databases and the contrast character sub databases are arranged in parallel;
and when data is acquired, comparing the acquired data with the distinguishing characters in the comparison character sub-base, and classifying the data into the corresponding sub-base if the coincidence degree of the data and the distinguishing characters in a certain comparison character sub-base is high.
When the data is compared with the distinguishing characters in the comparison character sub-library, the specific access rule is as follows:
when the coincidence degree of one piece of data and the data in a certain contrast character sub-library is greater than 50% and the coincidence degree of the piece of data and the data in other contrast character sub-libraries is less than 10%, classifying the data into a sub-database corresponding to the contrast character sub-library;
other cases are classified as pending data.
The system comprises a manual auditing module, which is used for auditing the pending data manually by staff and distributing the pending data to a corresponding word database.
When no subject exists in a certain grade, setting the contrast character sub-library as an empty database and abandoning the database;
and when the comparison character sub-database is a blank database, the corresponding sub-database is not used.
Setting a teaching material version as a Z axis, wherein each contrast character sub-library consists of a grade, a subject and the teaching material version;
the contrast character sub-library is internally provided with distinctive characters specific to the grade, subject and teaching material version;
the database comprises a plurality of sub-databases, the number of the sub-databases is equal to that of the contrast character sub-databases, and the sub-databases and the contrast character sub-databases are arranged in parallel.
The system also comprises a login module, and a user can login in the system through the login module;
a user information setting module; the user can set the basic information of the user through the user information setting module.
Example 4
Referring to fig. 1, 3 and 5, the present application provides a digital education resource retrieval system including:
the central processing module is used for overall processing of the data of the whole process;
the database is in signal connection with the central processing module; used for storing the data to be retrieved;
the data acquisition module is electrically connected with the central processing module; the system is used for importing external data into a database, so that the retrieval is convenient;
the retrieval module is used for realizing retrieval by inputting the keywords in the retrieval module;
and the database updating module is used for automatically updating the database when new data are recorded.
The data acquisition module comprises a contrast character library;
the contrast character library is composed of a plurality of groups of contrast character sub-libraries, the grade is used as an X axis, the subject is used as a Y axis, and each unit interval is used as a contrast character sub-library;
the contrast character library is provided with distinguishing characters of various subjects of various grades;
the database comprises a plurality of sub databases, the number of the sub databases is equal to that of the contrast character sub databases, and the sub databases and the contrast character sub databases are arranged in parallel;
and when data is acquired, comparing the acquired data with the distinguishing characters in the comparison character sub-base, and classifying the data into the corresponding sub-base if the coincidence degree of the data and the distinguishing characters in a certain comparison character sub-base is high.
When the data is compared with the distinguishing characters in the comparison character sub-library, the specific access rule is as follows:
when the coincidence degree of one piece of data and the data in a certain contrast character sub-library is greater than 55% and the coincidence degree of the piece of data and the data in other contrast character sub-libraries is less than 8%, classifying the data into a sub-database corresponding to the contrast character sub-library;
other cases are classified as pending data.
The system comprises a manual auditing module, which is used for auditing the pending data manually by staff and distributing the pending data to a corresponding word database.
When no subject exists in a certain grade, setting the contrast character sub-library as an empty database and abandoning the database;
and when the comparison character sub-database is a blank database, the corresponding sub-database is not used.
Setting a teaching material version as a Z axis, wherein each contrast character sub-library consists of a grade, a subject and the teaching material version;
the contrast character sub-library is internally provided with distinctive characters specific to the grade, subject and teaching material version;
the database comprises a plurality of sub-databases, the number of the sub-databases is equal to that of the contrast character sub-databases, and the sub-databases and the contrast character sub-databases are arranged in parallel.
Setting a knowledge layering module; setting an upgrading knowledge special character library in the knowledge layering module;
dividing the data into basic knowledge data and updated knowledge data according to the updated knowledge special characters;
the knowledge layering module can be set into an opening mode and a closing mode, and a user can freely select to close the knowledge layering module after opening.
The special character library for knowledge upgrading is composed of special characters in the topics with higher difficulty in the current grade, and the special characters comprise words and key words.
The system also comprises a login module, and a user can login in the system through the login module;
and the user information setting module is used for setting the basic information of the user through the user information setting module.
It should be noted that:
database systems (DBS) generally comprise software, a database and a Data manager. The software mainly comprises an operating system, various host languages, a utility program and a database management system. The database is uniformly managed by a database management system, and the insertion, modification and retrieval of data are all performed by the database management system. The data administrator is responsible for creating, monitoring and maintaining the entire database, enabling the efficient use of data by anyone with access rights.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A digital educational resource retrieval system, comprising:
the central processing module is used for overall processing of the data of the whole process;
the database is in signal connection with the central processing module; used for storing the data to be retrieved;
the data acquisition module is electrically connected with the central processing module; the system is used for importing external data into a database, so that the retrieval is convenient;
the retrieval module is used for realizing retrieval by inputting the keywords in the retrieval module;
and the database updating module is used for automatically updating the database when new data are recorded.
2. A digital educational resource retrieval system, as defined in claim 1, wherein:
the data acquisition module comprises a contrast character library;
the contrast character library is composed of a plurality of groups of contrast character sub-libraries, the grade is used as an X axis, the subject is used as a Y axis, and each unit interval is used as a contrast character sub-library;
the contrast character library is provided with distinguishing characters of various subjects of various grades;
the database comprises a plurality of sub databases, the number of the sub databases is equal to that of the contrast character sub databases, and the sub databases and the contrast character sub databases are arranged in parallel;
and when data is acquired, comparing the acquired data with the distinguishing characters in the comparison character sub-base, and classifying the data into the corresponding sub-base if the coincidence degree of the data and the distinguishing characters in a certain comparison character sub-base is high.
3. A digital educational resource retrieval system, as defined in claim 2, wherein: when the data is compared with the distinguishing characters in the comparison character sub-library, the specific access rule is as follows:
when the coincidence degree of one piece of data and the data in a certain contrast character sub-library is greater than 50% and the coincidence degree of the piece of data and the data in other contrast character sub-libraries is less than 10%, classifying the data into a sub-database corresponding to the contrast character sub-library;
other cases are classified as pending data.
4. A digital educational resource retrieval system, as defined in claim 1, wherein: the system comprises a manual auditing module, which is used for auditing the pending data manually by staff and distributing the pending data to a corresponding word database.
5. A digital educational resource retrieval system, as defined in claim 2, wherein:
when no subject exists in a certain grade, setting the contrast character sub-library as an empty database and abandoning the database;
and when the comparison character sub-database is a blank database, the corresponding sub-database is not used.
6. A digital educational resource retrieval system, as defined in claim 2, wherein:
setting a teaching material version as a Z axis, wherein each contrast character sub-library consists of a grade, a subject and the teaching material version;
the contrast character sub-library is internally provided with distinctive characters specific to the grade, subject and teaching material version;
the database comprises a plurality of sub-databases, the number of the sub-databases is equal to that of the contrast character sub-databases, and the sub-databases and the contrast character sub-databases are arranged in parallel.
7. A digital educational resource retrieval system, as defined in claim 1, wherein:
setting a knowledge layering module; setting an upgrading knowledge special character library in the knowledge layering module;
dividing the data into basic knowledge data and updated knowledge data according to the updated knowledge special characters;
the knowledge layering module can be set into an opening mode and a closing mode, and a user can freely select to close the knowledge layering module after opening.
8. A digital educational resource retrieval system, according to claim 7, wherein:
the special character library for knowledge upgrading is composed of special characters in the topics with higher difficulty in the current grade, and the special characters comprise words and key words.
9. A digital educational resource retrieval system, as defined in claim 1, wherein:
the system also comprises a login module, and a user can login in the system through the login module;
a user information setting module; the user can set the basic information of the user through the user information setting module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110039476.6A CN112632298B (en) | 2021-01-13 | 2021-01-13 | Digital education resource retrieval system |
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| CN202110039476.6A CN112632298B (en) | 2021-01-13 | 2021-01-13 | Digital education resource retrieval system |
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| CN109166060A (en) * | 2018-07-19 | 2019-01-08 | 苏彦聪 | Teaching platform and application method under a kind of tourism background |
| CN109325096A (en) * | 2018-07-11 | 2019-02-12 | 国网技术学院 | A kind of knowledge resource search system of knowledge based resource classification |
| CN111680234A (en) * | 2020-06-11 | 2020-09-18 | 南通赛优科技服务有限公司 | System with patent information publishing and searching functions and information publishing method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109325096A (en) * | 2018-07-11 | 2019-02-12 | 国网技术学院 | A kind of knowledge resource search system of knowledge based resource classification |
| CN109166060A (en) * | 2018-07-19 | 2019-01-08 | 苏彦聪 | Teaching platform and application method under a kind of tourism background |
| CN108959645A (en) * | 2018-07-28 | 2018-12-07 | 安徽赛迪信息技术有限公司 | A kind of policies and regulations collection and analysis system |
| CN111680234A (en) * | 2020-06-11 | 2020-09-18 | 南通赛优科技服务有限公司 | System with patent information publishing and searching functions and information publishing method thereof |
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