KR20230108892A - Contents Chart Server and Contents Chart System Having the Same - Google Patents

Abstract

A content chart server according to an embodiment of the present invention is a content chart server connected by a communication network to a user terminal that receives a chart generation command and correlation information between content data from a user, wherein a plurality of content data and a plurality of a database 30 for storing charts; and a central processing unit that permits viewing of content data and charts of the database 30 through the user terminal and stores the chart generated according to the chart creation command in the database 30.

Description

Contents Chart Server and Contents Chart System Having the Same}

The present invention relates to a server and system for charting and providing content data. In particular, it relates to a technology capable of providing a large amount of unsorted content data in a linkage manner according to the level and development method of the content.

As personal media technology develops, content data that can be accessed through the Internet increases exponentially.

Various and massive data on the Internet have different levels of content and purpose for each data and are not created in connection with each other, so it is difficult to form a flow (storytelling) or track them.

Due to this problem, users who are looking for desired data often spend a lot of time or fail to track the necessary data.

For example, if a user browses and learns content in a specific field, and then searches for higher-level content to level up knowledge in that field, it takes too much time to find the content or gives up because it cannot be found There are many.

At least one embodiment of the present invention aims to define a technology level (level) for each data created on the Internet or newly created data and arrange them into one storytelling if there is a relationship between the data.

Through this, the purpose is to provide a technology that shows data in a sorted way so that users can drastically reduce the time to track data and prevent wrong tracking.

A content chart server according to an embodiment of the present invention is a content chart server connected by a communication network to a user terminal that receives a chart generation command and correlation information between content data from a user, wherein a plurality of content data and a plurality of a database 30 for storing charts; and a central processing unit that permits viewing of content data and charts of the database 30 through the user terminal and stores the chart generated according to the chart creation command in the database 30.

In at least one embodiment of the present invention, viewing of the chart is performed through a visual expression in which a window including basic information on each of the corresponding content data is connected to the window according to the correlation information.

And, in at least one embodiment of the present invention, the chart includes data sets separated from each other with respect to corresponding content data.

Here, the central processing unit may automatically generate a data set for the content data through a neural network algorithm learned from the data sets.

Also, the central processing unit may automatically generate a new chart using the data sets.

In at least one embodiment of the present invention, the data set includes an ID for the corresponding content data, a field, a level, and correlation information with other content data.

Here, the level may be input from the user through the user terminal.

In addition, the data set may additionally include link and/or keyword information for corresponding data contents.

In at least one embodiment of the present invention, the data sets are independent of each other among the charts.

In addition, in at least one embodiment of the present invention, creation, modification, deletion, etc. of the chart do not affect the original data of the corresponding content data in any way.

On the other hand, the content chart system according to one embodiment of the present invention, the above-described server; and the user terminal.

By leveling the field and skill level of scattered vast data and sorting and displaying related data, the time required for data tracking can be drastically reduced.

In addition, since new linkage information derived from existing linkage information between contents can increase exponentially, it is possible to process various linkage information accordingly, and even if linkage information between contents is generated exponentially, it is easy to manage without complexity.

Figure 1 shows one embodiment of a data set.
2 shows a server and system of one embodiment of the present invention.
Figure 3 illustrates the automatic chart creation module 21 included in the server of one embodiment of the present invention.
4 illustrates the visual display of charts on a user terminal.

In describing the embodiments disclosed in this specification, if it is determined that detailed descriptions of related known technologies may obscure the gist of the embodiments disclosed in this specification, the detailed descriptions thereof will be omitted.

In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in this specification, the technical idea disclosed in this specification is not limited by the accompanying drawings, and all changes included in the spirit and technical scope of the present invention , it should be understood to include equivalents or substitutes.

The suffixes "module" and "unit" used in this specification are only used for nomenclatural distinction between components, and are interpreted as premising that they are physically and chemically separated or separated, or that they can be separated or separated in such a way. should not be

Terms including ordinal numbers, such as first and second, may be used to describe various components, but the components are not limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

The term "and/or" is used to include any combination of a plurality of items that are the subject matter. For example, "A and/or B" means including all three cases such as "A", "B", and "A and B".

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this specification, terms such as "comprise" or "having" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Of the accompanying drawings, FIG. 1 shows one embodiment of a data set, and FIG. 2 shows a server and system of one embodiment of the present invention. In addition, FIG. 3 illustrates the automatic chart generation module 21 included in the server of one embodiment of the present invention, and FIG. 4 illustrates visually displaying charts on a user terminal.

In this specification, content data is not limited to a specific field or content, and data format is not limited to a specific format such as video, text, or image.

In one embodiment of the present invention, the chart includes the correlation information for corresponding content data belonging thereto.

The chart includes a data set 1 as shown in FIG. 1 exemplarily for each piece of content data.

As shown in FIG. 1, the data set 1 includes information such as 'ID', 'field', 'leveling', 'target', 'tag', and 'author' of corresponding content data.

Here, the data ID may be a unique identification ID of data, and is exemplarily automatically generated by the server as a UUID value (aka source value).

In addition, the data set 1 may include link information for the corresponding content data, and the corresponding content data is popped up on the user terminal by double-clicking on the user interface (example of user terminal output screen) as shown in FIG. 4 to be described later. can be opened

The field represents the belonging classification to which the corresponding content data belongs, and may be, for example, a technical field, a learning field, a subject name, and the like.

Information belonging to a field includes name information and index information of the field based on the x-axis in FIG. 4 . Here, as shown in FIG. 4, the position of the x-axis is determined based on the index value.

Leveling indicates the level of the corresponding content data, and the data format may be exemplarily composed of two numbers. For example, leveling on the y-axis of FIG. 4 may have a data format such as {y1, y2}, and may mean a level ranging from 'y1' to 'y2'. That is, if the maximum value of the y-axis is 100 and the leveling values of the corresponding data are y1 = 1 and y2 = 10, it means that it is included in steps 1 to 10 out of 100 steps.

Also, it goes without saying that leveling may be represented by only one number.

The target represents other data ID information connected to the present data. That is, the target includes correlation information with other content data belonging to the same chart.

Illustratively, in FIG. 2 , target information 'B-data' described in a data set for A-data among 'aa charts' means lower-order content data to proceed after learning A-data.

In addition, the target information is used to display each of the content data windows Wa, Wb, Wc, and Wd in FIG. 4 by connecting them with arrow lines.

The number of other IDs included in the target includes only single data information in this embodiment, but this is just an example, and the present invention is not limited thereto. That is, one content data may have a plurality of target data.

The target, exemplarily, has a data format of 'data ID, importance (weight)'. Here, the higher the weight, the stronger the connectivity or the more important data.

A tag is keyword information representing the corresponding data.

In addition, the author means a person who creates the corresponding content data. Since each author has a different field of activity, the author's basic information and figures in the field of activity can be included.

Among the information included in the data set 1, information other than the data ID may be arbitrarily input by the user. In addition, in addition to the data ID, only information other than the field and author may be arbitrarily determined by the user.

In addition, the original data of the content data is independent of the data set (1) belonging to any one chart, so even if the information of the data set (1) for a specific content data is modified or deleted, the original data of the corresponding content data It is not affected by anything.

Data sets between charts are also independent of each other. Accordingly, when the same content data belongs to a plurality of charts, a data set for the corresponding content data may be created differently for each user who creates each chart. Illustratively, as shown in FIG. 2 , information on data sets 11a and 11b created by user A and information about data sets 12a and 12b created by user B may be different for A-data.

2 illustrates charts 11, 12, and 13 created by users and stored in the database 30 of the servers 20 and 30, and through FIG. 2, the server according to the embodiment of the present invention (20, 30) and describe the system.

First, the user terminals 10a, 10b, and 10c are connected to exchange information with the servers 20 and 30 through a communication network.

Here, the user terminals 10a, 10b, and 10c may be mobile communication terminals such as smart phones and tablet PCs, as well as desktops or laptops.

And, the servers 20 and 30 include the central processing unit 20 and the database 30.

The central processing unit 20 allows viewing of the content data and charts 11, 12, and 13 of the database 30 through the user terminals 10a, 10b, and 10c, and the chart generated according to the chart generation command. (11, 12, 13) is stored in the database 30.

In addition, in order to implement the system of the present embodiment, necessary programs including user programs constituting the user interface are stored in the database 30, among which the user program is the user terminal through the central processing unit 20 ( 10a, 10b, 10c) can be transmitted and installed.

For example, the user program provides a user interface through which a user can select and view content data, a user can create a data set for chart creation, input a chart creation command, and browse existing chart information. include

A user can create data sets 11a, 11b, 12a, 12b, 13a, 13b and input chart generation commands, as shown in FIG. can

That is, user A creates data sets (11a, 11b) for A-data and B-data, respectively, and inputs a command to create 'aa chart' (11), and user B inputs a command to generate data sets (11a, 11b) for B-data and C-data. Creates data sets 12a and 12b for A-data and C-data respectively and inputs a 'bb chart' 12 generation command, and user C creates data sets 13a and 13b for A-data and C-data respectively and creates 'cc chart' '(13) You can enter a creation command.

Here, the generation of each chart 11, 12, 13 may be performed on the side of each user terminal 10a, 10b, 10c and then transmitted to the server 20, 30, or only related information may be transmitted to the server 20, 30) and the final generation of the charts 11, 12, and 13 may be configured to be performed in the servers 20 and 30.

Meanwhile, the central processing unit 20 includes an automatic chart generation module 21. The automatic chart generation module 21 may be implemented by a microprocessor included in the central processing unit and generates a new chart using data stored in the database 30.

Illustratively, the automatic chart generating module 21 is a machine learning algorithm, preferably a neural network algorithm, and may exemplarily be implemented by a deep learning algorithm. In this case, the automatic chart generation module 21 uses various chart information stored in the database 30, that is, data set information to learn a deep learning algorithm using learning data, and then generates a new chart different from the existing chart do.

Illustratively, as shown in FIG. 3, a new 'ee chart' 15 consisting of A-data, B-data and C-data is formed through data set information belonging to 'aa chart' and 'bb chart'. can be created

For example, A-data and B-data from the existing 'aa chart' are connected with a weight of 0.8, B-data and C-data are connected with a weight of 0.9 from the 'bb chart', and A-data and B-data from the 'cc chart'. Since C-data is connected with a weight of 0.8, it is confirmed that the importance is high for each connection. Here, user A sets the maximum level of A-data to 101 and B-data to 90, user B sets the maximum level of B-data to 95 and C-data to 104, and user C sets the maximum level of B-data to 104. Assume that the maximum level of A-data is set to 100 and the maximum level of C-data is set to 106. Then, in the end, since B-data has a lower maximum level than A-data and C-data, A-data -> B-data -> C-data by deep learning calculation, including various variables such as weights, tags, sentences, etc. The order is determined and an 'ee chart' 15 is created.

Here, of course, since the level can be arbitrarily determined by the user, it is preferable to compare the maximum level of each data and level each other when the order of data is created by machine learning.

Here, the leveling may be an average value obtained by calculating level difference values of each data for each chart. For example, if the level difference between A-data and B-data is about 11 on average, the maximum level difference between A-data and B-data is set to 11 when a new chart is created.

Also, data set 14b information may be newly created for D-data that did not belong to the existing chart, and a new chart 'dd chart' 14 may be created.

Here, data set 14b information on D-data can be generated through a deep learning algorithm based on content data and existing data set information therefor.

Through automatic chart creation, as charts sorted by users are added, new charts can be created elaborately with undefined vast data, and derived charts are automatically added and various charts increase exponentially. do.

Meanwhile, FIG. 4 is an example of a user interface of an output screen that visually expresses charts on a user terminal. '(14) and 'ee chart'(15).

In FIG. 4, the x-axis is an axis for the field name and index information in the 'field' information for each content data, and the position on the x-axis is determined according to the index value.

And, the y-axis represents a level, and the position of each piece of content data is determined by leveling information included in the corresponding data set.

Preferably, the windows (Wa, Wb, Wc, Wd) of each content data shown in FIG. 4 include a data ID, an author, a keyword included in tag information, and the like, and are displayed.

In addition, each of the windows (Wa, Wb, Wc, Wd) is connected with an arrow line, so it can be expressed that related content data are related to each other. Also, although not shown, the chart name may be shown together.

1, 11, 12, 13, 14, 15: chart
10a, 10b, 10c: user terminal
20: central processing unit
30: database

Claims (11)

In a content chart server connected by a communication network with a user terminal that receives a chart generation command and correlation information between content data from a user,
a database that stores a plurality of content data and a plurality of charts; and
A central processing unit that allows viewing of content data and charts of the database through the user terminal, and stores the chart generated according to the chart creation command to the database.
including,
Content Chart Server. According to claim 1,
The viewing of the chart is performed through a window containing basic information about each of the corresponding content data and a visual expression connecting the window according to the correlation information.
Content Chart Server. According to claim 1,
The chart includes data sets separated from each other for corresponding content data,
Content Chart Server. According to claim 3,
The central processing unit automatically generates a data set for the content data through a neural network algorithm learned from the data sets.
Content Chart Server. According to claim 4,
The central processing unit automatically generates a new chart using the data sets.
Content Chart Server. According to claim 3,
The data set includes an ID for the corresponding content data, a field, a level, and correlation information with other content data.
Content Chart Server. According to claim 6,
The level is input from the user through the user terminal,
Content Chart Server. According to claim 6,
The data set further includes link and / or keyword information for corresponding data content,
Content Chart Server. According to claim 3,
The data set is independent of each other among the charts,
Content Chart Server. According to claim 1,
Creation, modification, deletion, etc. of the chart do not have any effect on the original data of the corresponding content data,
Content Chart Server. The server of claims 1 to 10; and
the user terminal
including,
Content chart system.