KR20180025091A - Method and computer program for mapping contents - Google Patents

Abstract

Disclosed is a content mapping method for searching various types of content related to content viewed by a user. The content mapping method comprises: a content type registration step of setting a content type and a service type for each content; a metadata registration step of registering pre-defined metadata items according to the content type for each content, and inputting whether the metadata item is used as a keyword, a search comparison item and a return item as information on each of the metadata items to register the metadata of the corresponding content; and a content recommendation service providing step of searching at least one target content having a similar search comparison item to a search keyword among the content corresponding to a type of target content when a content recommendation service request which uses the search keyword and the type of target content as an input variable is received, and returning the return item of the searched target content.

Description

METHOD AND COMPUTER PROGRAM FOR MAKING CONTENT METHOD,

The present invention relates to a content mapping method and a computer program for mapping and providing other contents or services related to a content used by a user and a system capable of providing contents in various fields according to a smart media environment will be.

With the advent of smart devices, various digital magazines and magazine portals have been launched, but focusing on digitalization of magazines, they are failing in terms of convergence with information technology (IT) technology. K-Magazine and U-Magazine services are being provided by the Korea Magazine Association to provide magazines in an integrated manner. However, digital content of high-quality content is being digitized and offline distribution channels are brought online . In particular, attempts to converge with other industries have not been under way.

For example, in an e-learning service, in the conventional e-learning system, other contents such as a moving picture, a supplementary material, and a quiz question related to a learning content are mapped in advance, and while a learner is learning using learning contents, They are just providing other pre-mapped content. According to such a content mapping method, it is difficult to flexibly provide customized contents necessary for a user, and it is also difficult to add new types of contents or services, and it is also difficult to expect convergence services with contents or services of other fields.

SUMMARY OF THE INVENTION The present invention has been made to solve the problems of the related art as described above, and it is an object of the present invention to provide a smart media service suitable for a smart media environment, in which contents of a variety of contents and service providers such as publishing, magazine SMEs and e- To provide a content mapping method that can be provided through the Internet.

In addition, the present invention provides a content mapping method for recommending an appropriate one considering a learning process dynamically without previously mapping other contents or services related to contents that the user is learning.

In addition, the present invention provides a content mapping method capable of calculating contents of various types of contents stored in various systems and fusing contents.

According to an aspect of the present invention, there is provided a method of mapping a source content and a target content, the method comprising: a content type registration step of setting a content type and a service type for each content; For each content, predefined metadata items are registered according to the type of the content, and metadata for registering the metadata of the content by inputting whether or not a keyword, search comparison item, and return item are input for each metadata item A data registration step; Searching for at least one target content having a search comparison item similar to the search keyword among contents corresponding to the type of the target content, when receiving a content recommendation service request having a search keyword and a type of the target content as input variables, And a content recommendation service providing step of returning a return item of the searched target content.

The content mapping method includes the steps of setting a source content that can request the content as a target content for a content set to be used for requesting a content recommendation service and setting the source content to be used for requesting a keyword classification service A service registration step of setting a type of a target content to be mapped to the content; When a keyword classification service request having a unique key of a source content and a search keyword as input variables is received, a type of a target content to be mapped to the corresponding source content is determined using the service registration information using the unique key of the source content ,

And a keyword classification service providing step of searching at least one target content having the same keyword item as the search keyword among contents corresponding to the type of target content determined in the above and returning a return item of the searched target content have.

The step of providing the content recommendation service may further include receiving a target content type as an input variable of the content recommendation service to limit the type of the content to be searched.

The content recommendation service providing step may further include receiving, as an input parameter of the content recommendation service, an identification information of an institution, a type of a source content, or a type of a solution providing source content, And providing a different service according to the service.

The content mapping method further includes a step of calculating a ranking score of the searched content using a match degree between the keyword item of the source content and the keyword item of the searched target content and the match degree of the search word with the name of the searched target content can do.

According to the present invention, it is possible to provide contents that are provided by various types of contents and service providers such as publishing, magazine SMEs and e-learning providers through smart media services adapted to the smart media environment, It is easy.

In addition, according to the present invention, it is possible to dynamically select and recommend an appropriate one considering the learning process, without having to map other contents or services related to the learning contents of the user in advance, So that they can be dynamically provided to the user.

1 illustrates a network configuration in which a content mapping system according to an embodiment of the present invention supports convergence of various types of content providing solutions.
2 is a flowchart illustrating a content mapping method according to an embodiment of the present invention.
FIG. 3 illustrates an example of fusing and linking contents and services in various fields according to an embodiment of the present invention.
4 illustrates definitions of common metadata and individual metadata between linked content / services in accordance with an embodiment of the present invention.
FIG. 5 illustrates an example in which a mutual relation network is constructed through a configuration of a metadata POOL according to an embodiment of the present invention.
FIG. 6 illustrates a flexible SaaS platform in which a convergence service can be added according to an embodiment of the present invention.
7 shows a configuration of an overall system having a platform according to an embodiment of the present invention.
8 and 9 illustrate a user interface of a content mapping service according to an embodiment of the present invention.

The terms used in this specification will be briefly described, and the present invention will be described in detail.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. Also, in certain cases, there may be a term selected arbitrarily by the applicant, in which case the meaning thereof will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term, not on the name of a simple term, but on the entire contents of the present invention.

When an element is referred to as "including" an element throughout the specification, it is to be understood that the element may include other elements as well, without departing from the spirit or scope of the present invention. The term " means ", "part "," module ", etc. in the specification means units for processing at least one function or operation, Lt; / RTI >

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.

1 illustrates a network configuration in which a content mapping system according to an embodiment of the present invention supports various types of content providing solution convergence.

The user terminal 10 accesses the solution systems 20 that provide various contents services through the network, receives the contents desired by the user, and uses the contents recommendation service. At this time, the network can be used the Internet, and other types of communication networks may be used.

The user terminal 10 is a computing device that reproduces contents received from the content solution system 20 and displays the contents on a screen. The personal computer 11, the notebook computer 12, the smart phone 13, May be used.

The content solution systems 20 each hold different types of content and provide it to the user terminal 10. For example, the magazine solution system 21 serves north-north contents and article contents, the market solution system 22 serves product information, product promotion videos, etc., and the LMS (Learning Management System) solution system 23 Contents such as lecture contents, essay contents, and topic dictionaries. The exhibition solution system provides exhibition information, exhibition video contents, and the like.

The content mapping system 30 maps the source content and the target content using metadata in order to converge and serve various types of content held by each solution 20. [ The mapping of contents in the present invention means to search for and recommend target contents related to or similar to the source contents by using the mapping structure between the metadata of the source contents viewed by the user and the metadata of the target contents.

For example, when the user is viewing the article content through the magazine solution system 21, the merchant information highly related to the article in the article is retrieved from the content repository owned by the market solution system and recommended to the user. Here, the article content that the user is viewing is the source content, and the recommended product information is the target content.

The content mapping system 30 provides an API (Application Programming Interface) for content mapping, and each solution system 20 calls an API for content recommendation to generate a target content (target contents is returned and the target content is delivered to the user through an appropriate user interface.

The content mapping system (30) is a computing device that provides a content recommendation service and a keyword classification service. The content mapping system (30) includes content type registration means for setting a content type and a service type for each content, Metadata registration means for registering the meta data of the corresponding content by inputting whether or not a keyword, a search comparison item, and a return item are inputted as information about each meta data item, When a service registration means for registering a service, an API corresponding to a content recommendation service request that uses a search keyword and a type of a target content as input variables is called, a search comparison meta At least one target content having a data item It can include a service providing means for searching, and returns the return metadata item of the retrieved target content.

Detailed description and specific embodiments of each means constituting the content mapping system 30 will be described later with reference to FIG. 2 to FIG.

2 is a flowchart illustrating a content mapping method according to an embodiment of the present invention.

In the content mapping method according to the present invention, content is mapped using metadata of a source content and a target content, and a content recommendation service and a keyword classification service can be provided through content mapping.

The content recommendation service is a service for recommending a content highly related to the source content in consideration of the similarity of content between the source content and the target content. The keyword classification service is a service for providing various types of related contents .

In order to map the source content to the target content, the registration step of the content type is first performed (S20). In the content type registration step, a content type and a service type are set for each content.

In this step, type information of a content to be used as a source content or a target content is registered. For example, various contents provided according to the present invention can be classified into the following types. In Table 1, 'content name' is a name indicating the type of content, 'content ID' is identification information of the content type, 'description' is a description of the content belonging to the corresponding type, and 'content location' Represents the name of the solution in which the type of content is located.

Content name Content ID Explanation Content Location North ebook Content sold in northbook format Magazine Solutions General merchandise Product Items sold at market sites Market Solutions Product Promotion Video Product_vod Product Promotion Video Market Solutions Article Article Magazine article content Magazine Solutions Mock examination Test My Account LMS Solutions lecture Course Online course for enrollment LMS Solutions Topic dictionary Topic Glossary of terms and concepts for learning topics Content LMS Solutions Exhibition Exhibition Exhibition Exhibition Solutions Exhibition video Exhibition_vod Exhibition Related Videos Exhibition Solutions

Also, it is determined whether the content type is used for requesting a 'content recommendation service', a request for a 'keyword classification service', or both services.

In addition, it is possible to select and set whether the content type is used as a content provided as a service, that is, a target content, or a content used for requesting a content, that is, used as a source content. One content type may be used as both the source content and the target content.

In order to provide the content recommendation service, the content used as the source content and the type of the content used as the target content can be mapped and set as shown in the example of Table 2 below.

Source Target Remarks system contents system contents magazine Article magazine Article Recommend articles with high relevance to articles magazine Article market General merchandise Recommended articles related to articles magazine Article LMS Topic dictionary Related Topic market General merchandise magazine Article Recommend articles with high relevance to the product market General merchandise LMS lecture Recommend course highly relevant to the product magazine North Exhibition Exhibition Recommended exhibitions that are highly related to North Korea magazine North market General merchandise Recommended items related to this book magazine North LMS Mock examination A mock testimonial associated with North Korea LMS lecture market General merchandise Recommended products with high relevance to the course LMS lecture LMS Mock examination Recommended mock exams that are highly relevant to the course

In order to provide the keyword classification service, the content used as the source content and the type of the content used as the target content may be mapped as shown in Table 3 below.

Source
Target
Remarks system contents turn system contents magazine
Article

One magazine Article Recommend article with the same keywords as the article 2 magazine North Recommend articles with keywords that are the same 3 LMS Topic dictionary Recommend topic dictionaries that have the same keywords as articles market

General merchandise

One market General merchandise Recommend products with the same keywords 2 magazine Article Recommend articles with keywords that are the same as keywords 3 LMS lecture Recommend course with product and keyword

In step S22, metadata for each content is registered. The metadata may be composed of a plurality of metadata items (attributes), and each metadata item may include basic information and attribute values.

The basic information of the metadata item is the metadata of the metadata item as information on the metadata item. The attribute value of the metadata item is data actually input to the metadata item.

Predefined metadata items are input for each content according to the type of the content, and information on each metadata item may be registered as a keyword, a search comparison item, and a return item. The information on the metadata item may further include metadata identification information (ID), metadata name, data type (Type), data length, and PK.

Table 4 lists basic information about metadata items according to an embodiment of the present invention.

The 'metadata name' is the name of the corresponding metadata item, the 'metadata ID' is the identification information of the corresponding metadata item, the 'data type' is the data type stored in the corresponding metadata item, The length of the data stored as an item, 'PK' indicates whether the corresponding metadata item is a unique key, 'keyword' indicates whether the corresponding metadata item is used as a keyword, and 'search comparison item' Item is used as an item, and a 'return item' indicates whether the corresponding metadata item is a return item. The information about the predefined attributes and the attribute values are input as metadata of the contents.

Item Item Description Metadata Name Describe terminology that requires definition of terms, among the terms used in business domain or methodology and development process.
If there is no Korean name, describe the English name. Metadata id The abbreviation for the term and the full name in English are described. This is used for class derivation, table definition, web screen design in analysis / design / development stage. If there is no English name, it may be omitted. Data type Describe the data type (for example, Char, varchar, decimal, number) Length Number of digits for the data type. Explanation Explain the terminology to make it easier for users and project teams to understand. PK A unique value representing the data. Write Y or not. keyword A word used to find information that contains specific content. Write Y or not. Search comparative items An item for comparing whether the information matches the data to be searched. Write Y or not. Return Item The data item to return to the requester of the data corresponding to the search result. Write Y or not. Remarks Other necessary information can be described.

As described above, the 'PK' indicates whether the corresponding metadata item is a unique key value of the content. The 'metadata ID' of the metadata item having the PK check Y set is a form of {content_type} _id . ≪ / RTI > For example, in the case of the content of the article content type, the article_id may be used as the ID of the PK item.

The 'keyword' and the 'search comparison item' are for setting whether the corresponding metadata item is used as a search condition, and the 'return item' is for setting a metadata item provided as a result value of the search .

The metadata item set by the keyword can be used as a search word for searching for the target content when mapping the source content and the target content and may be used for calculating the similarity degree between the source content and the target content.

A metadata item having a name {content_type} _nm can be used as an item indicating a unique name of the content, and this attribute can also be used in calculating the similarity between the source content and the target content. The similarity calculation will be described later.

In the present invention, a unique key item of a content is a metadata item having PK set as Y in the content metadata, a keyword item is a metadata item having a keyword set as Y in the metadata of the content, , The metadata item with the search comparative item set to Y is returned and the return item is the metadata item with the return item set to Y in the metadata.

Table 5 below is an example of a metadata definition, which is a predefined metadata item for ebook type content located in the magazine solution system.

System name magazine Subsystem name Content ID ebook Content name North Content description Metadata for this book No Metadata Name Metadata id Data type Length PK key
We
De Search
compare
Item return
Item One Ebook serial number ebook_id CHAR 20 Y Y 2 Title ebook_nm VARCHAR 255 Y Y 3 subject subject VARCHAR 255 4 Cover image image_path IMAGE (CHAR) 255 5 ISBN isbn VARCHAR 255 6 publisher publisher VARCHAR 100 Y 7 Flat plate book_size_width NUMBER 4 8 Plate-type portrait book_size_height NUMBER 4 9 author author VARCHAR 100 10 translator translator VARCHAR 100 11 price price NUMBER 10 12 Quantity (page count) page_amount NUMBER 10 13 published date publication_dt DATE 14 EBOOK
Category ID ebook_category_id VARCHAR 4 15 EBOOK folder ID ebook_folder_id VARCHAR 4 16 EBOOK sample
Category ID ebook_sample_
category VARCHAR 4 17 EBOOK sample
Folder ID ebook_sample_
folder_id VARCHAR 4 18 Introduce ebook_desc TEXT Y 19 Contents table_of_content TEXT Y 20 keyword keyword VARCHAR 255 Y Y 21 Whether or not to use use_yn VARCHAR One 22 Content URL content_url VARCHAR 255 Y 23 Content image URL content_image_url VARCHAR 255 Y

Referring to Table 5, 23 items are used as the metadata items for the ebook contents, and the metadata information, the metadata ID, the data type, the length, the PK, the keyword, the search comparison item, the return An item is set, and these information and attribute values are stored together for each content.

The metadata item for the north content in Table 5 is the unique key of the content, and the metadata item that can be used as the search keyword or keyword item is one item having the name of 'keyword' The metadata item used as the return item is the title of 'the book serial number,' 'the name of the book,' 'the content URL ', And' content image URL '.

Table 6 below is another example of the metadata definition, which defines attributes for course type content located in the LMS solution system.

System name LMS Subsystem name Content ID course Content name lecture Content description Metadata for the course No Metadata Name Metadata id data
type Length Explanation PK keyword Search
compare
Item return
Item One Course serial number course_id NUMBER 11 Course serial number Y Y 2 Course categories category_sq NUMBER 11 Category serial number 3 Course name course_nm VARCHAR 100 Y Y 4 Course Introduction course_desc TEXT Course Introduction Y 5 Tuition fee NUMBER 11 Y 6 Grades crdt CHAR One 7 Start Date study_start_dt VARCHAR 19 8 Learning end date study_end_dt VARCHAR 19 9 Acceptance of personal enrollment personal_
allowed_fl CHAR One 10 Course start date apply_start_dt VARCHAR 19 11 End of course registration apply_end_dt VARCHAR 19 12 Enrollee allowed VARCHAR 200 Separated by; (semicolon) 13 Abscission close_fl CHAR One 14 keyword keyword VARCHAR 255 Y Y 15 Instructor Introduction teacher_intro TEXT Instructor Introduction Y 16 Content URL content_url VARCHAR 255 Y 17 Content image URL content_image_url VARCHAR 255 Y

Referring again to FIG. 2, in step S24, the service is registered according to the service type.

The content mapping system according to an embodiment of the present invention provides two types of services, that is, a content recommendation service and a keyword classification service, and provides corresponding services through respective APIs.

The content recommendation service is a service for recommending a content highly related to the source content in consideration of the similarity of contents between the source content and the target content. In order to provide this service, in step S24, Can be selected and registered.

The keyword classification service is a service for recommending various types of related contents having the same keyword based on the keyword of the source content. In order to provide this service, in step S24, the target content type to be mapped with the source content from the source content Can be selected and registered. And sets a content group provided by an API for providing a keyword classification service.

After the metadata registration and the service registration of the content are performed, the metadata mapping structure of the source content and the target content is automatically generated and registered. The content metadata mapping structure is independent of the content type and has two types of mapping structure Lt; / RTI >

In order to select the search candidate content, a candidate for return content can be selected through a like search for comparing the value stored in the keyword item of the source content with the value of the search comparison item of the target content type.

Further, in order to select the content to be searched, the content name of the target content is compared with the keyword value of the target content by using the value stored in the keyword item of the source content, ranking is performed, .

In step S26, a content mapping service is provided with reference to the metadata, and a content recommendation service or a keyword classification service is provided according to a request through the API.

First, the data mapping structure of the content recommendation service and the search algorithm will be described in detail.

When receiving a content recommendation service request in which the search keyword and the type of the target content are input variables, searches at least one target content having a search comparison item similar to the search keyword among the contents corresponding to the type of the target content, Returns the return value of the content.

According to the embodiment, it is possible to further receive the target content type as an input variable of the content recommendation service to limit the type of the content to be searched.

Further, it is possible to further receive the type of the identification information of the institution, the type of the source content or the type of the solution providing the source content as input variables of the content recommendation service, and provide the service according to the type of the source content or the type of the solution It is also possible.

The URL for the API call of the content recommendation service may be defined in the same manner as http://api.helloportal.co.kr/recommend/{target_content_type}/{saas_id}. {target_content_type} indicates the type of target content, and {saas_id} indicates the ID of the organization.

The ID of the institution is the identification information of the institution calling the API, and by using it as an input variable, an independent content recommendation service can be provided for each institution using the service.

Table 7 illustrates input parameters for the content recommendation service.

Input variable ID Variable name Remarks source_solution_type Source solution type The type of solution in which the Source content is stored
Ex) magazine, lms, cart, exhibition source_content_id Source Content PK search_word search word The keyword metadata value of the source content top_cnt Content Count

In the content recommendation service, the object to be compared with the search word search_word received as an input variable is the meta-meter item (s) set to Y as a search comparison item in the metadata registration of the target content. The keyword value of the source content and the attribute value of the search comparison item of the target content are compared with each other in the like condition and the target content satisfying the condition is searched.

The search comparison item may be set differently for each target content, and the search comparison item may be freely changed in the metadata management system.

The item returned from the content recommendation service as a search result is the Ketadata item (s) whose return item is set to Y when registering the target content metadata, and the return item is delivered to the source system. The source system is the system that requested the service.

The return item may be set differently for each target content, and the return item may be freely changed in the metadata management system. Return items commonly used for all content types can be defined as shown in Table 8 below.

Metadata id Metadata Name {content_type} _id Content Unique ID content_url Content info url {content_type} _nm Content name keyword keyword

Next, the metadata mapping structure and the search algorithm of the keyword classification service will be described in detail.

For a content set to be used for requesting a content recommendation service, a source content for requesting the content as a target content is set at the time of registering a service. On the other hand, for a content set to be used for requesting a keyword classification service, The type of the target content to be set.

When a keyword classification service request having an inherent key item of a source content and a search keyword as input variables is received, a type of a target content to be mapped to the corresponding source content is determined using a unique key of the source content and service registration information, Searches at least one target content having the same keyword item as the search keyword among the contents corresponding to the content type, and returns the returned item of the searched target content.

The URL for the API call of the keyword classification service can be defined in the same manner as http://api.helloportal.co.kr/keyword/{source_content_type}/{saas_id}. {source_content_type} indicates the type of source content, and {saas_id} indicates the ID of the authority.

Table 9 illustrates input parameters for the keyword classification service.

Input variable ID Variable name Remarks source_solution_type Source solution type The type of solution in which the Source content is stored
Ex) magazine, lms, cart, exhibition source_content_id Source Content PK search_word search word The keyword metadata value of the source content

The type of the target content mapped by the keyword classification service may include the target content type (s) selected at the time of registering the "keyword classification service" of the source content. When registering the keyword classification service, The type of the target content, the sort order, and the number of return contents can be registered.

Variable ID Variable name target_content_type Target content type Sort_no Sort Order Top_cnt Return Content Count

The search comparison object in the keyword classification service is the metadata item (s) set as the keyword of the content. An attribute value of a keyword item of the source content and a keyword meta item of the target content are searched under the condition of "= ", and the target content satisfying the condition can be recommended.

The return item in the keyword classification service is a metadata item that is set to be returned upon metadata registration of the target content, and the returned item (s) of the searched target content is delivered to the source system. The return item may be set differently for each target content, and the return item may be freely changed in the metadata management system.

According to an embodiment of the present invention, when the degree of similarity or association between the source content and the target content is calculated, the match degree between the keyword item of the source content and the keyword item of the target content, and the degree of matching between the search word and the target content name, An API for a search ranking service is provided. By using the search ranking API, a user can preferentially recommend contents with a high ranking to the user.

The match degree of the keyword item can be calculated by analyzing the number of all keyword items of the target content and the keyword item of the target content matching the keyword item of the source content and using the analysis result.

In addition, when the keyword item of the target content coincides with the search keyword, or when the content name of the target content matches the search keyword, a predetermined score is added to calculate the degree of matching with the target content name, that is, the keyword exposure score.

The final ranking score of the target content can be calculated using the degree of match of the keyword item thus obtained and the keyword exposure score.

FIG. 3 illustrates an example of fusing and linking contents and services in various fields according to an embodiment of the present invention.

According to this convergence, various services (seminar, shopping mall, video lecture service, etc.) can be performed using magazine, examination book, travel book, etc., such as technical magazines and interior magazines

For example, the linkage of makeup related contents and cosmetics sales in women's magazines, the introduction of 3D printing technology in technical magazines, the linkage of advertisement and printer sales of 3D printer companies, content segment sales of home fashion DIY books, Linkage, electric engineer's book, anticipated problem of enemy's enemy, lecture video, lecture segment and linkage sale, segment sales of travel magazine and travel book segment, sale of travel products in local area, linking sale of travel necessities, various seminar information and exhibition information in magazine And providing participation application / settlement service and additional information linking service.

4 illustrates definitions of common metadata and individual metadata between linked content / services in accordance with an embodiment of the present invention.

In order to provide various services using contents of each book, metadata of contents and metadata of services should be defined and a service can be provided by using the relation of defined metadata

4, content common metadata including information common to all contents, unique metadata per content including information specific to each content, service common metadata including information common to all services, Data and service-specific metadata including information unique to each service are defined, and it is understood that a mutual relation network is established by linking each meta data and defining association information between metadata.

According to such a metadata definition, it is possible to define unique metadata for each type of content, define unique metadata for each type of service,

It defines metadata association information between content and content, content and service, defines metadata association information between service and service, service and content, inputs metadata of content only, and metadata between different contents It is possible to recommend other types of contents using the data association information, input metadata of only the service, and recommend contents in other services using metadata association information between different services.

That is, recommendation (extension) to other contents and services is possible only by managing information of individual contents by using association information between metadata.

When applied to the learning process, additional content can be recommended at a necessary time based on the inter-content linkage information. For example, a problem solver can provide a solution to problems that are being solved and similar problems during video lectures. In addition, you can provide an additional solution to problems similar to the problem while viewing the results of the problem solving feedback. In addition, you can provide video lectures to solve the problem while viewing the results of the problem solving feedback, and video lectures to explain the contents of the problem. In addition, it can induce complete learning to the learner by continuously circulating the learning process using the entire video, problem solving, problem description video, learning contents video, and learning contents file.

FIG. 5 illustrates an example in which a mutual relation network is constructed through the structure of a metadata POOL according to an embodiment of the present invention. According to this, the POOL of the metadata is utilized, but efficient metadata management is performed by distinguishing the common metadata from the individual metadata.

FIG. 6 illustrates a flexible SaaS platform in which a convergence service can be added according to an embodiment of the present invention.

It is easy to add a new content service by implementing a SaaS platform implementing the content mapping method according to the present invention and interworking with various types of content providing solutions.

7 shows a configuration of an overall system having a platform according to an embodiment of the present invention.

Smart media integration based on publishing / magazine contents IT convergence service platform performs a content matching method according to the present invention,

(CDSS) or Contents Development Management System (CDMS) for digitizing the contents of existing publications or magazines,

A content management system (CMS) for managing unit contents such as a digitized asset or a file, and a content object for publishing or service,

A Smart Media Publishing System (SMPS) for publishing a content resource managed by a CMS for a smart media environment or for publishing,

UCID & ICN Management System (UIMS), which registers and manages ICNs that represent domestic standard IDs and intellectual property of all contents,

The Smart Media Integrity Service Platform (SMISP), which provides content to readers, corporate customers, advertisers and other customers,

The reader and customer management support system (RCMSS) for analyzing behavior patterns of readers and content buyers and for intelligently recommending or servicing contents or services,

An Intelligent System for Contents Mapping (ISCM) may be provided for intelligently upgrading the intelligent logic of the service or contents provided by using the behavior pattern of the reader and the content purchaser.

The Smart Content Production System (CDSS / CDMS / SMPS) is a system that supports easy digitalization of publishing and magazine contents. It includes content creation UI (User Interface) for each convergence service model and uses content resources managed by CMS To provide publishing support for smart media environments and publishing environments.

A content resource management system (CMS / UIMS) is a system that manages resources of an asset unit of a digitalized content. It defines content-specific metadata for each fusion service model and defines association metadata for linkage with other services do.

The smart media integration service support system (SMISP / RCMSS / ISCM) applies the content distribution process for each service model, and includes e-Commerce settlement module, individual contents, individual product utilization statistics module, And a content / service recommendation module through a trace history analysis of content and related service usage.

In addition, as a fusion service model and an API (Application Program Interface) linking contents, it is necessary to design content information between service models, API structure of interface linkage, information between contents in service, and API structure of interface linkage.

In addition, as the convergence service UI, it is necessary to design an associated service connection UI, an associated information search UI, and a content information recommendation service UI.

8 and 9 show an example of a content mapping service UI according to an embodiment of the present invention.

Referring to FIG. 8, it is possible to link with the problem-solving video service or the mock examination service through the content mapping during the learning through the learning contents.

Referring to FIG. 9, an article content of a magazine and a B2B (business to business) market or an exhibition information service can be linked using a content mapping method.

The method according to an embodiment of the present invention can be implemented in the form of a program command which can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

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 (6)

A method for mapping a source content and a target content,
A content type registration step of setting a content type and a service type for each content;
For each content, predefined metadata items are registered according to the type of the content, and metadata for registering the metadata of the content by inputting whether or not a keyword, search comparison item, and return item are input for each metadata item A data registration step;
Searching for at least one target content having a search comparison item similar to the search keyword among contents corresponding to the type of the target content, when receiving a content recommendation service request having a search keyword and a type of the target content as input variables, And returning a return item of the searched target content. The method according to claim 1,
For a content set to be used for requesting a content recommendation service, a source content that can request the content as a target content is set, and a content set to be used for requesting a keyword classification service is mapped to the content A service registration step of setting a type of the target content;
Determining a type of a target content to be mapped to a corresponding source content using a unique key of the source content and service registration information when a keyword classification service request having a unique key of the source content and a search keyword is input,
And a keyword classification service providing step of searching at least one target content having the same keyword item as the search keyword among contents corresponding to the type of target content determined in the above and returning a return item of the searched target content Wherein the content mapping method comprises: The method according to claim 1,
The content recommendation service providing step may include:
Further comprising receiving a target content type as an input variable of the content recommendation service and restricting the type of the content to be searched. The method according to claim 1,
The content recommendation service providing step may include:
Further receiving a type of source identification information, a type of source content or a type of solution providing source content as an input variable of the content recommendation service, and providing another service according to the type of the call originator, Wherein the content mapping method comprises: The method according to claim 1,
Further comprising the step of calculating a ranking score of the searched content using a match degree between a keyword item of the source content and a keyword item of the searched target content and a match degree of the search word with the name of the searched target content, Mapping method. A computer program recorded on a recording medium for performing a content mapping method according to any one of claims 1 to 5.

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