KR20150076901A - Method and system for providing education service - Google Patents

Method and system for providing education service Download PDF

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KR20150076901A
KR20150076901A KR1020130165602A KR20130165602A KR20150076901A KR 20150076901 A KR20150076901 A KR 20150076901A KR 1020130165602 A KR1020130165602 A KR 1020130165602A KR 20130165602 A KR20130165602 A KR 20130165602A KR 20150076901 A KR20150076901 A KR 20150076901A
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data
education
user terminal
concept
contents
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KR1020130165602A
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Korean (ko)
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장덕문
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주식회사 케이티
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    • 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education

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Abstract

A training service providing method and system thereof are disclosed. Here, the training service providing method is a method of providing a training service through a network to a user terminal, an educational contents providing apparatus, and a training service providing apparatus connected to an external linked data store, Comparing the collected collected data with the external linked data and comparing the correlation between the semantically extended training content metadata and requesting the educational content providing apparatus having the highest similarity to the educational content providing apparatus, And transmitting the educational contents to the user terminal.

Description

[0001] METHOD AND SYSTEM FOR PROVIDING EDUCATION SERVICE [0002]

The present invention relates to a training service providing method and system thereof.

With the activation of smart phones, tablet PCs, e-book readers, electronic textbooks, etc., educational contents provision service and e-learning business using user's mobile devices are being activated. Mobile education (mobile education) in mobile devices (smart phones, tablets, electronic textbooks, e-book readers, etc.) Contrast has many strengths.

The same educational contents will be provided to all users, and the personalized customized education contents providing service will be activated by providing appropriate contents according to the characteristics of the users and avoiding the one-sided approach and taking the user's feedback into consideration.

In addition, control and service provision related to sensor based data collection, storage and processing such as USN (Ubiquitous Sensor Network) / M2M (Machine To Machine) / IoT (Internet of Things) Is gradually expanding. Such mobile education has been studied with a focus on the functions of devices, that is, providing appropriate contents according to resolution, performance network function, multimedia support, and performance, and using cloud and information sharing among devices.

User-customized or personalized contents providing technology is generally a technique of providing contents according to a user's profile, that is, age, grade, subject, preference, and necessity. That is, personalization recommendation is based on simple information. Although the sensor information of the mobile device can be considered for provision of educational contents, there is no direct relation between the sensor information and the metadata of the contents, so that it is not considered. For example, location, acceleration, and weather information are not very relevant to specific content delivery.

That is, it is difficult to recommend educational contents from user information because there is a lack of correlation between metadata (title, subject, keyword) of education contents and user information (sensor data, customer profile).

In addition, although a technology for searching for and recommending contents using SNS (Social Networking Service) data (mentions, tweets, friend's mentions, tweets, etc.) is also mentioned in various documents, many.

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a method and system for providing personalized educational contents by semantically expanding subscriber status data including a customer profile, usage information of a customer device, social networking service (SNS) A service providing method and a system thereof.

According to an aspect of the present invention, there is provided a method of providing an educational service, the method comprising: providing a training service to a user terminal, an educational contents providing apparatus, and an educational service providing apparatus connected to an external linked data store through a network, Comparing the correlation data semantically extended with reference to the external linked data and the training content metadata that is semantically extended with reference to the external linked data, Requesting and receiving the training content, and transmitting the training content to the user terminal.

Wherein the receiving comprises:

The method comprising the steps of: collecting subscriber status data from the user terminal; receiving training content metadata from the educational content providing apparatus; receiving a first concept and a keyword, which are similar and semantically extended to data collected from the user terminal, Querying and linking to the linked data repository, querying the external linked data repository for a second concept and keyword that are similar and semantically extended to the metadata of the training content and receiving the first concept and keywords, Comparing the correlation between the second concept and the keyword, and requesting the educational contents providing apparatus with the highest similarity to the educational contents providing apparatus.

Wherein the requesting and receiving of the educational contents providing apparatus comprises:

Extracting a common concept and keywords between the first concept and the keyword, the second concept and the keyword, and requesting and receiving the educational contents corresponding to the common concept and keyword.

Wherein the collecting comprises:

And may collect subscriber status data including application information executed in the user terminal, sensor data sensed by the user terminal, subscriber profile, and terminal history data.

Wherein the educational contents received from the educational contents providing apparatus are,

And education contents reflecting the nature of the application.

According to another aspect of the present invention, there is provided a method of providing an educational service, the method comprising: providing a training service to a user terminal connected to the training service providing apparatus through a network, the user terminal generating subscriber state data, And receiving educational contents according to the subscriber state data from the education service providing apparatus.

Wherein the transmitting comprises:

The method comprising: executing an application; collecting subscriber status data in a state in which the application is executed; and transmitting the collected subscriber status data and executed application information to the education service providing apparatus,

Wherein the receiving comprises:

And receive training contents according to the subscriber state data according to the nature of the application.

Wherein the collecting comprises:

Collecting sensed sensor data using sensors mounted on the user terminal, collecting profile information inputted by the subscriber, collecting social network service utilization information from the social network server, collecting the terminal history data, .

According to another aspect of the present invention, there is provided an educational contents providing system, comprising: an educational contents provision device for storing education contents metadata; an external linked data store for storing external linked data; And comparing the correlation between the semantically expanded data and the extended metadata by referring to the data to receive the education contents having the highest similarity from the educational contents providing apparatus and transmitting the same to the user terminal do.

The education service providing apparatus includes:

A data collection unit for collecting subscriber status data from the user terminal, a content transmitting and receiving unit for receiving the education content metadata from the education content providing apparatus, receiving the education content and transmitting the education content to the user terminal, An external linked data processing unit for acquiring a first concept and keyword that are similar to and extended semantically to data and a second concept and keyword that are similar to the metadata of the educational contents and are extended semantically from the external linked data store, And an information reasoning unit for comparing the first concept and the keyword with the second concept and the correlation between keywords and requesting the education contents having the highest similarity to the education contents.

The knowledge-

A common concept and keywords between the first concept and the keyword, the second concept and the keyword may be extracted, and education contents corresponding to the common concept and keyword may be requested and received.

The education service providing apparatus includes:

A terminal information ontology in which the data collected by the data collecting unit stores a first ontology that is accumulated semantically by referring to the external linked data, and metadata of the educational contents are semantically referenced with reference to the external linked data And an education content data ontology that stores the expanded second ontology,

The knowledge-

The first ontology and the second ontology can be used to extract educational contents suitable for the user's situation.

According to the embodiment of the present invention, personalized contents can be provided by semantically expanding the collected information so that appropriate education contents can be supplied from various information that can be collected from the device of the customer.

In addition, the meta data of the deficient content is also semantically expanded, thereby limiting the limitation of the provision of the personalized content and solving the problem, thereby promoting the content consumption.

In addition, it is possible to activate content consumption and services by developing methods and system devices that can be utilized for personal consumption type contents and service provision / recommendation as well as educational contents.

1 is a configuration diagram of a training service providing system according to an embodiment of the present invention.
2 is a flowchart illustrating a method of providing a training service according to an embodiment of the present invention.
3 is a flowchart illustrating a method of providing a training service according to another embodiment of the present invention.
4 is a schematic block diagram of a training service providing system according to another embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise.

Also, the terms of " part ", "... module" in the description mean units for processing at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software.

Hereinafter, a method and system for providing a training service according to an embodiment of the present invention will be described in detail with reference to the drawings.

1 is a configuration diagram of a training service providing system according to an embodiment of the present invention.

Referring to FIG. 1, an education service providing system includes an application running in a user terminal 100, which accumulates sensor values, terminals, and personal information as knowledge, and utilizes semantically extended information to provide personalized education contents based on the accumulated information. And provides personalized education services by extracting and inferring knowledge.

The educational service providing system includes a user terminal 100, a training service providing apparatus 200, an educational contents providing apparatus 300, and an external linked storage 400. At this time, the user terminal 100, the education service providing apparatus 200, the education contents providing apparatus 300, and the external linked repository 400 are connected to each other through a network (not shown).

The user terminal 100 is a terminal through which a user consumes educational contents. The user terminal 100 can use various types of contents such as text, audio, and moving picture contents according to its performance as a terminal that can use educational contents. The user terminal 100 may be a smart phone, a tablet PC, an electronic book terminal (e-book reader), a notebook computer, or the like.

The user terminal 100 may be connected to a wired / wireless network (not shown) to download educational contents and preferentially consider a wireless based mobile terminal, but a personal terminal connected to a wired network may be similarly applied.

The user terminal 100 is equipped with a physical sensor including a GPS sensor, an acceleration sensor, a geomagnetic sensor, a gyro sensor, and an illuminance sensor, and collects sensor data sensed through these sensors.

The user terminal 100 collects and transmits the social phenomenon through external information such as weather / temperature, personal calendar information, social network, and the customer's emotion information to the education service providing apparatus 200, To make use of information.

The education service providing apparatus 200 is a server for providing education services. The education service providing apparatus 200 compares the correlation between the data expanded semantically and the extended education contents metadata collected from the user terminal 100 by referring to the external linked data And provides education contents having the highest similarity.

The education service providing apparatus 200 stores the usage history of the subscriber profile, the social network service (SNS) information collected from the user terminal 200, the sensing data collected from the sensor device attached to the terminal device, do.

The education service providing apparatus 200 receives and stores the education contents metadata from the education contents provider 300. Here, the education content metadata may include a title, a topic, and a keyword.

The education service providing apparatus 200 receives the education contents from the education contents providing apparatus 300 and transmits the education contents to the user terminal 100.

The education service providing apparatus 200 includes a terminal apparatus management unit 201, a content transmitting / receiving unit 203, a data collecting unit 205, an external linking unit 207, an information reasoning unit 209, A data processing unit 211, a terminal information ontology repository 213, and an education contents data ontology repository 215.

The terminal device management unit 201 manages the device information of the user terminal 100.

The content transmitting / receiving unit 203 receives the training content metadata from the training content providing apparatus 300, receives the training content, and transmits the training content to the user terminal 100.

The data collecting unit 205 collects subscriber status data from the user terminal 100. The data collection unit 205 may collect subscriber status data including application information executed in the user terminal 100, sensor data sensed by the user terminal 100, subscriber profile, and terminal history data.

At this time, the data collecting unit 205 collects personal information entered from the user terminal 100, basically, from the user terminal 100, while the subscriber performs subscription for use of the service.

The data collecting unit 205 may collect the subscription information of the SNS service, that is, the login ID, which the subscriber inputs from the user terminal 100, from the user terminal 100. In this case, additional subscriber profiles can be collected from the subscriber's SNS. And additional information of the subscriber can be collected from the preference information, activity information and friend information.

In addition, the data collecting unit 205 may collect sensor information mounted on the user terminal 100 such as the current position, time, acceleration, and illumination. In addition, the sensor information (weather, temperature, etc.) can be collected through an external interlocking unit 207 using an interlocking operation with an external server such as a weather station.

In addition, the sensor data collected by the data collecting unit 205 collects both the meta data of the sensor and the actually measured data value. Also, sensor values that are changed while the application is running can also be collected to detect changes in user behavior and circumstances. If necessary, periodic sensor data collection can be performed.

The knowledge inferring unit 209 may include a first concept and a keyword that are similar and semantically extended to the data collected from the user terminal 100 and a second concept and keyword that are similar to the metadata of the training content and that are extended semantically Correlations are compared to infer educational content with the highest similarity. And requests the education contents providing apparatus 300 to acquire them.

At this time, the knowledge inferring unit 209 extracts a common concept and keywords between the first concept, the keyword, the second concept and the keyword, and acquires the education contents corresponding to the common concept and keyword.

The knowledge reasoning unit 209 can deduce the user's situation information using the sensor metadata, but the collected personal information and the metadata of the sensor are often not enough to extract and provide the corresponding education contents. For example, you may be able to get the best-selling mathematics reference book and information such as title from the SNS, but only in very limited cases.

In other words, it is very difficult to select the educational contents to be appropriately provided to high-school students who are overcast, brightly lit, and moving at high speed, and it is almost impossible to give the reason and meaning of the provision. In order to solve this problem, external link data is referred to in order to semantically expand the collected data from the user terminal 100 and to derive the association.

In addition, the knowledge reasoning unit 209 can measure the degree of similarity and the degree of association as the number of links traversed by the linked data (LOD). For example, if the weather is cloudy and snowy in winter, it is possible to make inferences, but other concepts and keywords such as snowman, ski, and white can be obtained from external linked data.

As an example of linked data, DBpedia, which converts all the data of Wikipedia into a structured format and establishes the connection of data, is a representative example of the most representative linked data. In addition, there exist many linked data.

Here, Wikipedia is a new type of encyclopedia that allows anyone to access the Internet site to directly upload knowledge and information, and to modify and supplement existing registered knowledge and information. In addition, DBpedia is a site that provides semantic annotations on Wikipedia materials and processing them for use on other websites or programs.

By utilizing such external linked data, information (profile, sensor data, SNS, history data) collected from the user terminal can be semantically expanded and the relationship between the data can be established. For example, it receives information such as cloudiness from weather information, and the concept of the same as the blur or the concept of upper / lower than the concept of cloudiness, emotions that people mainly have when the weather is cloudy (depressed, calm, etc.) The knowledge inferring unit 209 can search semantically from the linked data.

In addition, the knowledge reasoning unit 209 can obtain a relativity according to the number of links or hops from a given keyword. In this way, it is possible to obtain the relationship degree or similarity between the keywords that are semantically related to certain keywords (here, information collected from the terminal) and the keywords. The collected data is stored and managed in the ontology repository of the education service providing device. The ontology repository is a repository of rules and protocols that conceptualize data shared within the domain.

In other words, the ontology is used for expressing the knowledge of the domain effectively, giving the meaning of the information, setting the relation between the information, expressing the knowledge, sharing and reusing it.

On the other hand, the education contents metadata provided in the education contents providing apparatus 300 are also semantically expanded using external linked data, and the relationship between the data is obtained and stored in the education contents ontology repository 215.

The metadata of the educational contents can be extracted from the title, author, field, book information of the book, review of other users, table of contents, and the like.

In addition, the education content data ontology repository 215 can define and add additional data relationships and meanings to the service developers of the education service providing apparatuses, and can be extended to knowledge bases in the form of inference rules, thereby extending the ontology.

The knowledge inferring unit 209 determines whether the education content data ontology constructed from the terminal information ontology accumulated from the information collected from the user terminal 100 and the semantically extended metadata of the education contents is most related to the state of the subscriber It is possible to provide educational contents most suitable for the user's situation by extracting high contents and providing corresponding contents. In other words, it is possible to compare the extended keywords from the user terminal 100 with the expanded keywords from the training content metadata, extract the contents having the highest similarity, and provide the most appropriate contents to the subscriber's situation .

The external linked data processing unit 211 acquires the first concept and the keyword, the second concept, and the keyword from the external linked data storage 400.

The terminal information ontology repository 213 stores the accumulated first ontology in which the data collected by the data collection unit 201 are expanded semantically referring to the external linked data.

The education content data ontology repository 215 stores the accumulated second ontology in which meta data of educational contents are expanded semantically by referring to external linked data.

Then, the knowledge reasoning unit 209 extracts education contents suitable for the user's situation using the first ontology and the second ontology.

The knowledge reasoning unit 209 uses scenarios for service provision (education contents provision) by using extended information as inference rules, and examples of inference rules are as follows.

In other words, books based on the nature of the application can be recommended. For example, SNS users related to SNS, calendar users related to self-development, and news reader users related to current affairs. You can recommend educational content in the app recommendation format at the current app store.

In addition, the knowledge reasoning unit 209 can recommend an audio book or image data rather than a book / ebook / thesis in a moving or dark environment.

In addition, the knowledge reasoning unit 209 can recommend related contents based on the current location (library, school, etc.) or education contents that are consumed most at the corresponding location.

In addition, the knowledge reasoning unit 209 provides educational contents according to the weekdays, weekends, holidays, semesters, and during holidays (for example, providing a wide range of contents or deepening / supplemental learning-oriented contents during holidays or holidays)

In addition, the knowledge inferring unit 209 may extract the interest through SNS analysis (subscriber's mention, like, etc.) to provide educational contents.

In addition, the knowledge reasoning unit 209 can recommend a book by analyzing a friend of the SNS.

Also, the knowledge reasoning unit 209 can extract interest items through customer profile analysis and recommend related books.

In addition, the knowledge reasoning unit 209 can recommend similar content from the contents consumed by the customer.

The external linked data processing unit 211 accesses the external linked data storage 400 and requests and receives external linked data necessary for the inference inferring unit 205 to deduce.

The terminal information ontology repository 213 stores the accumulated first ontology in which the data collected by the data collection unit 201 are expanded semantically referring to the external linked data.

The education content data ontology repository 215 stores the accumulated second ontology in which meta data of educational contents are expanded semantically by referring to external linked data.

Meanwhile, the educational contents providing apparatus 300 stores metadata of education contents and education contents, and provides the education contents to the education service providing apparatus 200.

The training content providing apparatus 300 includes an education content storage unit 301, a metadata storage unit 303, an external linkage unit 305, and an education content transmission unit 307.

The training content storage unit 301 stores training content. The metadata storage unit 303 stores metadata of the educational contents. The external interlocking unit 305 can receive educational contents in cooperation with an external server (not shown). The education contents transmitting unit 307 extracts the semantically expanded education contents requested by the education service providing apparatus 200 from the education contents storing unit 301 and provides the extracted education contents.

The external linked data storage 400 stores external linked data. Linked data is a model that identifies data existing on the Web by a unique URI (Uniform Resource Identifier) and directs the linked web by linking information to each URI. Linked data is data linked by links and is semantically linked data. It can extract the sameAs or superclass / subclass concepts for a given specific concept and keywords, Or extract keywords.

The external linked data storage 400 includes an external linkage unit 401 linked to an external server (not shown) and a linked data storage unit 403 for storing linked data. The external server (not shown) may be a server that provides linked data.

2 is a flowchart illustrating a method of providing a training service according to an embodiment of the present invention.

Referring to FIG. 2, the data collecting unit 205 collects subscriber profiles, sensor data, and history data from the user terminal 100 in which a specific application is executed (S101).

That is, it can collect subscriber status data including application information executed in the user terminal 100, sensor data sensed by the user terminal 100, subscriber profile, and terminal history data.

The knowledge inferring unit 209 refers to the external linked data and extracts an association concept or a keyword that is semantically extended from the data collected in step S101 (S103). That is, the first concept and keyword, which are similar to the data collected from the user terminal 100 and are extended semantically, can be inquired and received in the external linked data store 400. Then, a terminal ontology composed of the extracted concepts or keywords is generated (S105) and stored in the terminal information ontology repository (213).

Meanwhile, the knowledge reasoning unit 209 refers to the external linked data and extracts an association concept or keyword that semantically extends the education content metadata (S107). That is, the second concept and keyword, which are similar to the metadata of the educational contents and are extended semantically, can be received by querying the external linked data store 400. Then, the training content data ontology configured by the extracted concepts or keywords is generated (S109) and stored in the training content data ontology repository 215. [

Next, the knowledge inferring unit 209 compares the correlation between the data stored in the terminal ontology and the data stored in the training content data ontology, and extracts the training content having the highest similarity (S111). And acquires it from the educational contents providing apparatus 300 and transmits it to the user terminal 100 (S113).

 The educational contents extracted in step S111 may be contents reflecting the nature of the application executed in the user terminal 100. [

FIG. 3 is a flowchart illustrating a method of providing a training service according to another embodiment of the present invention, and shows an operation of the user terminal 100. FIG.

3, the sensor data sensed by the sensors mounted on the user terminal 100 are collected (S203) while the user terminal 100 executes a specific application (S201), and the sensor data (S205), collects social network service utilization information from a social network server (not shown), collects social network service subscription information inputted by the subscriber (S207), and collects terminal history data (S209). The terminal history data can be collected through the own memory or the control unit of the user terminal 100. [

The user terminal 100 transmits the collected data and the executed application information to the education service providing apparatus 200 (S211). Then, personalized educational contents are received (S213). Here, the personalized education contents may be educational contents corresponding to the characteristics of the executed application and corresponding to the respective data collected in steps S203 to S209.

Meanwhile, FIG. 4 is a schematic diagram of a training content providing system according to another embodiment of the present invention, and shows an apparatus that can be used to perform at least a part of functions of a training service providing apparatus of the system described with reference to FIG.

4, the educational contents providing system includes a processor 501, a memory 503, at least one storage device 505, an input / output (I / O) interface 507 and a network interface 509, .

The processor 501 may be implemented as a central processing unit (CPU) or other chipset, a microprocessor, and the like, and the memory 503 may be a dynamic random access memory (DRAM), a Rambus DRAM (RDRAM) SDRAM), static RAM (SRAM), and the like.

The storage device 505 may be a hard disk, a compact disk read only memory (CD-ROM), a compact disk rewritable (CD-RW), a digital video disk ROM, , An optical disk such as a blue-ray disk, a flash memory, various types of RAM, or a permanent or volatile storage device.

In addition, the I / O interface 507 allows the processor 501 and / or the memory 503 to access the storage device 505, and the network interface 509 allows the processor 501 and / ) To access the network (not shown).

In this case, the processor 501 includes a terminal device management section 201, a content transmitting / receiving section 203, a data collecting section 205, an external linking section 207, an information reasoning section 209, an external linked data processing section 211, The program instruction for implementing at least some functions of the function of the ontology ontology repository 213 and the educational contents data ontology repository 215 is loaded into the memory 503 and the functions of the terminal information ontology repository 213 and the education contents data ontology repository 215 are placed in the storage device 505, 1 can be controlled so as to be performed.

The memory 503 or the storage device 505 may be interlocked with the processor 501 and may include a terminal device management unit 201, a content transmitting and receiving unit 203, a data collecting unit 205, an external interlocking unit 207, Unit 209, and the function of the external linked data processing unit 211 may be performed.

The processor 501, the memory 503, the storage device 505, the I / O interface 507, and the network interface 509 shown in Fig. 4 may be embodied in one computer or distributed in a plurality of computers .

The embodiments of the present invention described above are not implemented only by the apparatus and method, but may be implemented through a program for realizing the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

Claims (12)

There is provided a method for providing a training service through a user terminal, a training content providing device, and a training service providing device connected to an external linked data store,
Comparing the correlation data collected from the user terminal with reference to the external linked data and semantically expanded collected data and the semantically extended training content metadata by referring to the external linked data, Requesting and receiving the educational contents providing apparatus, and
Transmitting the educational contents to the user terminal
The method comprising the steps of: The method according to claim 1,
Wherein the receiving comprises:
Collecting subscriber status data from the user terminal,
Receiving training content metadata from the training content providing apparatus;
Querying the external linked data repository for a first concept and a keyword that are similar and semantically extended to the data collected from the user terminal,
Querying the external linked data repository for a second concept and keyword that are similar and semantically extended to the metadata of the educational content and receiving the second concept and keyword;
Comparing the first concept and the keyword with the second concept and the keyword and requesting the educational contents providing apparatus with the highest similarity to the educational contents providing apparatus and receiving the same;
The method comprising the steps of: 3. The method of claim 2,
Wherein the requesting and receiving of the educational contents providing apparatus comprises:
Extracting a common concept and keywords between the first concept and the keyword, the second concept and the keyword, and
Requesting and receiving the educational contents corresponding to the common concept and keyword
The method comprising the steps of: The method of claim 3,
Wherein the collecting comprises:
And acquiring subscriber status data including application information executed in the user terminal, sensor data sensed by the user terminal, subscriber profile, and terminal history data. 5. The method of claim 4,
Wherein the educational contents received from the educational contents providing apparatus are,
And the education contents reflecting the nature of the application. CLAIMS 1. A method for providing a training service through a network to a user terminal coupled to the training service providing device,
The user terminal generates subscriber status data and transmits the subscriber status data to the education service providing apparatus, and
Receiving educational contents according to the subscriber state data from the education service providing apparatus
The method comprising the steps of: The method according to claim 6,
Wherein the transmitting comprises:
Executing the application,
Collecting subscriber status data while the application is running, and
And transmitting the collected subscriber status data and the executed application information to the education service providing apparatus,
Wherein the receiving comprises:
And receiving training contents according to the subscriber state data in accordance with the nature of the application. 8. The method of claim 7,
Wherein the collecting comprises:
Collecting sensed sensor data using sensors mounted on the user terminal,
Collecting profile information inputted by the subscriber,
Collecting social network service utilization information from the social network server, and
Collecting terminal history data
The method comprising the steps of: A training content providing device for storing training content metadata,
An external linked data store for storing external linked data, and
Comparing the correlation between the semantically expanded data and the extended metadata with reference to the external linked data collected from the user terminal connected through the network and receiving the education content having the highest similarity from the educational contents providing apparatus The education service providing apparatus
The education service providing system comprising: 10. The method of claim 9,
The education service providing apparatus includes:
A data collector for collecting subscriber status data from the user terminal,
A content transmitting / receiving unit for receiving the education content metadata from the education content providing apparatus, receiving the education content, and transmitting the education content to the user terminal,
Acquiring a first concept and a keyword that are similar to the data collected from the user terminal and extended semantically and a second concept and a keyword that are similar to the metadata of the education content and extended semantically from the external linked data store An external linked data processing unit, and
Comparing the correlation between the first concept and the keyword and the second concept and keywords and requesting the educational contents having the highest similarity to the educational contents,
The education service providing system comprising: 11. The method of claim 10,
The knowledge-
Extracting a common concept and keywords between the first concept and the keyword, the second concept and the keyword, and requesting and receiving the education contents corresponding to the common concept and keyword. 12. The method of claim 11,
The education service providing apparatus includes:
A terminal information ontology storing the first ontology in which the data collected by the data collector is expanded semantically by referring to the external linked data, and
Further comprising an educational contents data ontology storing meta data of the education contents by referring to the external linked data and storing the accumulated second ontology,
The knowledge-
And extract training contents suited to the user's situation using the first ontology and the second ontology.
KR1020130165602A 2013-12-27 2013-12-27 Method and system for providing education service KR20150076901A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018079968A1 (en) * 2016-10-26 2018-05-03 주식회사 뤼이드 Method and apparatus for providing personalized educational content, and computer program
KR20210041427A (en) * 2019-10-07 2021-04-15 주식회사 아이서티 Apparatus and Method for Managing Curriculum based on Job Competence which is corresponded to Society Demand based on ontology and deep-learning

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018079968A1 (en) * 2016-10-26 2018-05-03 주식회사 뤼이드 Method and apparatus for providing personalized educational content, and computer program
KR20210041427A (en) * 2019-10-07 2021-04-15 주식회사 아이서티 Apparatus and Method for Managing Curriculum based on Job Competence which is corresponded to Society Demand based on ontology and deep-learning

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