KR101760478B1 - Method for composing automatically to humanities data - Google Patents

Abstract

The present invention relates to a method for automatically constructing humanities information, the method comprising the steps of: a user terminal operating a map or a social network service (SNS) application; Measuring the at least one of the data and the strength of the magnetic field; and transmitting the measured data to the server so that the server extracts, The method comprising: receiving the selected humanities meta tag from the server; and transmitting the humanity meta tag to the map or social network service application using the selected humanities meta tag, The additional or simultaneous guide Wherein the human meta tag is updated by a support vector machine that derives a correlation between at least two data received from the user terminal and maps the data to a human language keyword so that the data is stored in humanities information .

Description

METHOD FOR COMPOSING AUTOMATICALLY TO HUMANITIES DATA.

The present invention relates to a method for automatically constructing humanities information, and more particularly, to a method and system for automatically generating humanities information that additionally or simultaneously provides humanities information to a map or an SNS application driven by a user terminal using humanities information stored in a server As shown in FIG.

Normally, when we know someone, the main information starts with name, address, contact, current, career, education, email, and so on. But in fact, we know that it is a story of interest, friend, experience, experience, family.

It is important to establish formal trust through contact, incumbency, career, education, etc., if we meet someone and have a purpose, a transaction, or a collaboration with a particular business.

On the other hand, when we really know someone, we want to identify and share the underlying reality behind the formal relationship. To this end, we pay attention to the hobbies, interests, values and cultural literacy of the other party we want to know. In other words, mediation is needed for emotional sympathy.

So far, social network services have been used as a medium to connect friends' friends and friends, and what friends do, rather than to catalyze emotional sympathy. It is advantageous to be a friend, or to discover that it may be a close friend, but it does not automatically provide an easy way to provide a template for interacting with actual emotions or to communicate experience.

Thus, social network services are as tired as the convenience. Users who are increasingly tired of the relationship will be forced to leave the social network service or manage the content to show it not their own. As a result, the relationship-based social network service has a limitation due to the tiredness of the relationship.

In order to improve this, it is necessary to create a humanistic index, automatic index construction, index extraction, index curation, optimization of context and context of index, A position automatic adjustment function and the like are required.

Korean Patent Publication No. 10-2011-0047399 (May 09, 2011)

SUMMARY OF THE INVENTION The present invention has been made to overcome the above problems of the prior art, and it is an object of the present invention to provide humanities information by arranging it in a region of interest using a humanities meta tag selected in a map application driven by a user terminal.

It is another object of the present invention to provide humanities information by reconstructing or reusing contents using a humanities meta tag selected in a social network service application driven by a user terminal.

The present invention also relates to a method for extracting index values of humanities, a method for curling information that is introduced into human indexing, a method for automatically forming a map based on human indexing, a method for recommending next humanities information based on human indexing , And to provide a method of automatically accumulating human index indexing information and assigning weights thereto.

According to another aspect of the present invention, there is provided a method for controlling a user terminal, comprising: driving a map or SNS application by a user terminal; measuring at least one of a current position, temperature, acceleration, Instructing the server to select a humanities meta tag indicating a key value that the server can extract and search for and provide humanities elements by sending the measured data to a server; The terminal receiving the selected humanities meta tag from the server and the user terminal additionally or simultaneously guiding humanity information to the map or social network service (SNS) application using the selected humanities meta tag , And the humanities meta tag includes a support vector Wherein the support vector machine recalculates data based on humanitarian information by deriving a correlation between at least two data received from the user terminal and mapping the data to humanities keywords.

The method of automatically configuring humanities information according to the present invention is characterized in that the data received from the user terminal includes a measurement value received from the object Internet around the user.

The method of automatically constructing humanities information according to the present invention is characterized in that the humanities meta tag categorizes the humanities information stored in the database of the server using the measured data and derives a correlation between at least two data And reclassifying the data based on humanities information by mapping the data to humanities keywords, generating pattern information on user behavior using data received from the user terminal, The humanities meta tag is selected using the humanities information, the pattern information, and the external service information.

In the method for automatically constructing humanities information according to the present invention, the categorized humanities information may be divided into detailed categories using at least one of time, place, and user, A priority or a weight is given by using a combination of the priority and the weight.

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A method for automatically configuring humanities information according to the present invention, wherein the step of guiding comprises arranging the humanities meta tag in a POI of a map application of the user terminal or reconfiguring And recycled.

The present invention also provides a method for controlling a server, comprising the steps of: storing human information in a database; receiving at least one of the current location, temperature, acceleration, equilibrium and magnetic field strength from the user terminal; Categorizing humanities information using data received from the user terminal, deriving a correlation between at least two data received from the user terminal, and mapping the data to humanity keywords, The server generating pattern information on the user's action using the received data, and transmitting the pattern information to the server using the categorized human information, the pattern information, and the external service information, To extract, search, and provide Selecting a humorous meta tag representing a key value and transmitting the selected humanities meta tag to the user terminal by sending the selected humanities meta tag to a map or a social network service (SNS) Tag, and guiding the humanities information to be added or simultaneously guided.

The method of automatically configuring humanities information according to the present invention is characterized in that the data received from the user terminal includes a measurement value received from the object Internet around the user.

In the method for automatically constructing humanities information according to the present invention, the categorized humanities information may be divided into detailed categories using at least one of time, place, and user, A priority or a weight is given by using a combination of the priority and the weight.

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In the method of automatically constructing humanities information according to the present invention, the step of guiding the user to guide the user may include arranging the humanities meta tag in a region of interest of a map application driven by the user terminal, And reconstructing or reusing contents using the humanities meta tag.

According to the method for automatically constructing humanities information according to the present invention configured as described above, humanities information can be provided by arranging the humanities meta tag in a map application driven by a user terminal to a region of interest.

In addition, according to the method of automatically constructing humanities information according to the present invention, it is possible to provide humanities information by reconstructing or reusing contents using a humanities meta tag selected in a social network service application driven by a user terminal.

In addition, according to the method of automatically constructing human knowledge information according to the invention, a method of extracting index values of humanities, a method of curling information inputted into human indexing index, a method of automatically forming a map based on human indexing, Based on the indexing, it is possible to provide a method of recommending the next humanities information, a method of automatically accumulating humanized index information, and a method of weighting it.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an overall block diagram of an apparatus for automatically constructing humanities information according to a preferred embodiment of the present invention; FIG.
2 is a flowchart illustrating a method for automatically constructing humanities information according to a preferred embodiment of the present invention.
3 is a block diagram illustrating a human meta tag selection method according to a method for automatically composing humanities information of the present invention.
4 is a block diagram illustrating a method for automatically composing humanities information of the present invention.
FIG. 5 is a flowchart illustrating a method of mapping human information to a map according to a method of automatically constructing humanities information according to the present invention.
FIG. 6 is a block diagram illustrating a method for transmitting / receiving data between a user terminal and a map or a social network service application according to a method for automatically constructing humanities information of the present invention.
7 is a view showing a conventional general subway route map.
8 is a diagram showing a conventional general map screen.
9 is a diagram showing a map screen in which humanities contents are mapped according to an embodiment of the present invention.
FIG. 10 is a diagram showing a map screen in which humanities information according to an embodiment of the present invention is constructed as a story.
11 is a diagram showing a map screen on which business information is provided according to an existing search result.
12 is a diagram showing a map screen provided with humanities information according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail by way of examples of specific applications. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an overall block diagram of an apparatus for automatically constructing humanities information according to a preferred embodiment of the present invention; FIG. Referring to FIG. 1, the user terminal 100 additionally or simultaneously guides humanities information when driving a map or a social network service application, and includes a measurement unit 110, a communication unit 120, and a control unit 130 .

The measuring unit 110 includes an acceleration sensor, a gyroscope, a temperature sensor, a magnetic force meter, a GPS, and the like, and the acceleration, equilibrium state, temperature, magnetic field intensity, current position, media player record, A list of friends' phone numbers, an e-mail list, and the like, and transmits them to the control unit 130. Here, the data measured by the measuring unit 110 can be additionally measured through the Internet. Details of the data can be described later with reference to FIG.

The control unit 130 transmits the measured data received from the measuring unit 110 to the communication unit 120 and transmits humanity information to a map or a social network service application that is running using the humanities meta tag received from the communication unit 120 Additional or simultaneous guidance.

The communication unit 120 transmits the measured data to the server 200, receives the selected humanities meta tag, and transmits the received humanities meta tag to the control unit 130.

The server 200 receives measured data from the user terminal 100 and combines it with human information stored in a database and external service information to automatically recommend or select a human meta tag, 100).

The overall configuration has been described above. Next, I will explain how to organize humanities information automatically.

2 is a flowchart illustrating a method for automatically constructing humanities information according to a preferred embodiment of the present invention. 2, a user operates a map or a social network service (SNS) application using the user terminal 100 (S20), and the server 200 stores humanities information in a database (S20).

Next, the user terminal 100 measures data using the measurement unit 110 (S30), and transmits the measured data to the server 200 (S40). 1, the measured data may include at least one of acceleration, equilibrium state, temperature, magnetic field strength, current position, media player record, music listening log file, pulse, heart rate, gait, etc. measured by the measuring unit 110 Data.

The server 200 automatically recommends or selects a humanities meta tag using the measured data from the user terminal 100 and humanity information stored in the database of the server 200 (S50). More specifically, a method of selecting a human meta tag will be described with reference to FIG.

3 is a block diagram illustrating a human meta tag selection method according to a method for automatically composing humanities information of the present invention.

First, the measured data 310 of the user terminal 100 is categorized by combining with the human information stored in the database 320 of the server 200. Whereby categorized humanities information 330 is generated. Here, the categorized humanities information can be divided into subcategories using one or more of time, place and user, and a priority or a weight can be given using a combination of the subcategories.

The server 200 receiving the measured data 310 generates pattern information 340 about the user's behavior. At the same time, the server 200 receives the information from the external application and generates the external application information 350.

By combining the categorized humanities information 330 with the pattern information 340, the external application information 350 and the measured data 310, the humanities meta tag is finally selected, (360). The selected humanitarian meta tag 360 can update the humanitarian information 330 and the pattern information 340 categorized using a support vector machine (SVM).

In addition to the clustering method using a support vector machine, the present invention can also pattern the sensed values collected from the user or the input values of the user into a certain type and recommend and utilize the following humanities information.

A method of updating using the support vector machine will be described later with reference to FIG.

Thus, a method of selecting the humanities meta tag from the server 200 has been described. I will return to Figure 2 and explain how to organize humanities information automatically.

The server 200 transmits the selected humanities meta tag back to the user terminal 100 (S60). The user terminal 100 receiving the selected humanities meta tag guides humanity information to a map or a social network service application that has been driven (S70). In this case, when a humanitarian meta tag is selected, the selected humanitarian meta tag is placed in the POI of the map application or reconfigured to the contents of the social network service application (the humanitarian information is divided into one humanitarian information in the form of storytelling, Route recommendation or sharing), or by recycling, humanities information to a map or social network service application.

Next, a method of measuring data using the object Internet as described in FIGS. 1 and 2 and a method of updating human-information information and pattern information categorized by using a support vector machine will be described with reference to FIG. 4 .

4 is a block diagram illustrating a method for automatically composing humanities information of the present invention. Referring to FIG. 4, middleware receives various sensed values as machine values and processes them. Such a middleware can receive the sensing value of the object Internet through standardization.

In this case, the Internet consists of various sensors, which can receive various sensing values. Here, it is necessary to convert various sensors into humanistic value filters. To solve this problem, sensing values are transmitted to a cloud server through routers and gateways.

The cloud server analyzes the sensed values received, converts them into humanistic values, and transmits the converted results to the middleware. In addition, the values sensed using the Internet may be used to communicate with the outside in addition to the cloud server.

In addition, the middleware has an application that is automatically processed based on the received sensing value. For example, when the illuminance value of a smart phone appears dark, a function of automatically popping up an application such as a flashlight and helping a user to download the same can be mounted. In addition, the position information of the user terminal 100 can be automatically received to guide interested human information at the corresponding position. These methods are simply the sensing values received from the user terminal 100.

Next, the middleware can update categorized humanities information and pattern information using a support vector machine.

More specifically, the support vector machine maps variables as a means for creating a new group. A new group that has not existed before can be found through the mapping process. For example, through the values of the sensor in the sensor, it was possible to classify only the levels such as normal light / darkness / darkness / ambient light / lightening / darkness. This distinction is deduced from previous experiences and is also an initialization value. That is, the input value from the illuminance sensor is dark when the input value is 0 to 1, the normal value when the input value is 1 to 2, and the bright value when the input value is 2 to 3.

However, if you treat it with a supporter vector machine, it can be used to deduce or automatically derive the correlation between light and appetite, such as 0-1 no appetite, 1 ~ 2 appetite is normal, 2 ~ 3 appetite is vigorous .

This support vector machine can classify input values that have not been initialized to be clearly classified into each group, that is, map them to humanized keywords and re-classify them into sensing values based on humanities information.

Accordingly, the various sensing values received in the middleware can be classified into respective humanities information using a three-port vector machine, and can be recommended to the user terminal 100.

Thus, we have explained how to measure data using the Internet of things, and how to update humanized and categorized human information and pattern information using a support vector machine, as well as a method for automatically constructing humanities information.

Next, referring to FIG. 5, a method of mapping human information to a map will be described. 5 is a flowchart showing a method of mapping human information to a map according to a method of automatically composing human information.

First, human information can be divided into history, art, music, novel, poetry, physical education, dance, and performance. Such human information is subdivided into subdivisions such as the history of the palace, Joseon, and anti-Japanese struggle under the great root of history. In addition, all parts such as dance are composed of root, sub 1, sub 2, sub 3, and so on.

Also, in the case of poetry or novel in literature, if you take the whole book as a root, you can arbitrarily set it as "Root A," Lee Mun-yeol's "Portrait of Young Days". At this time, the lower sub-a of the root A may be one of a plurality of chapters in the novel. In addition, while the main character left the East Sea, he traveled to the East Sea in a specific area, such as the local route (Seoul - Yangpyeong - Chuncheon - Inje - Donghae), and the sentence (the protagonist cried out in the sea in front of a station in the East Sea) It can be saved together with sub 2.

In other words, among the existing novel contents, it is possible to create humanistic factors (ambiguity of places and characters, routes of the main characters who are traveling or moving, etc.) in advance or extract the corresponding human information from the existing novel contents, Lt; / RTI > Then, it is composed as a human information library and stored as a root A-sub (a to z) expression, and the attribute value of the human information can be stored in the sub-a.

Here, the above attribute values are used in novels, for example, the names of the characters, the ambassadors of the characters, the places where the characters visited, the places the characters wanted to visit, the paths of the places visited by the characters, The value of the star space, the season at the time of the place (place), the event at the place, and so on. Among these pieces of information, there is no latitude value and hardness value specified in the information about the spatial information, for example, a famous chicken rib restaurant in Chuncheon city. Or the novel itself may specify the location of the processing. Obviously, the place that appears in the novel is either a place where it exists or a virtual space composed by the artist.

In this case, it is possible to devise a method of automatically matching human information with position / length by the same method as in FIG. First, the novel contents are classified in the novel contents as described above (S510). Classified contents mean the humanistic factors of the novel described above. In the present embodiment, humanity factors will be limited to spatial information.

Next, in step S520, it is checked whether or not a place of processing that appears or is introduced in the novel, such as the chicken rib house described above, actually exists. If it is confirmed that the location exists, the actual location and the area of interest, the latitude and longitude, and the features in the novel are combined (S530).

If the above-described processing place is not a place where it actually exists but is a place of processing, the similarity area and the latitude and longitude are combined via the Internet (S540).

The combined contents are stored in the human information library (S550). This allows you to see the corresponding humanities information on the map.

Next, referring to FIG. 6, a connection relationship between a map or a social network service application driven by a user terminal will be described.

FIG. 6 is a block diagram illustrating a method for transmitting / receiving data between a user terminal and a map or a social network service application according to a method for automatically constructing humanities information of the present invention.

Referring to FIG. 6, a smartphone and a wearable device can be used as the user terminal 100 that automatically configures humanities information. In this user terminal 100, an application A corresponding to a type of a social network service and an application B corresponding to a map type can be installed. 6, it is assumed that the application A and the application B are installed in advance.

The user terminal 100 can receive GPS values and other media player values while using the applications A and B, respectively. The received values are received various values according to each application type.

Here, application B, in which humanities information is mapped, has a map application such as Google, Naver, and the like. The application B makes use of the third location service using the API.

Therefore, the area of interest displayed on the map is present in the library that has been previously stored. In addition, related information can be extracted from the social network service using the corresponding index by using a key value corresponding to a region of interest to which humanities information is mapped. There are methods such as crawling, which combine existing cognitive information with crawled values and store them in the library.

More specifically, the applications A and B receive map information or map-related supplementary information from the following neighbors, Google and the like in the form of an API, and simultaneously receive relevant information (GPS value and interest information And a stomach / hardness value). In this way, applications A and B can provide information about GPS, maps, and social network services (such as sending tweets, retweeting places and content information, sharing places and image information on Facebook, Photo information, latitude and longitude values, etc.) to process the combined information.

Here, the method of processing the combined information is the Mash-up method. The Mash-up method is a combination of standardized data that combines the map information received from the map application with the image, video, and text information including the stomach / hardness value received from the social network service to arrange and distribute additional information on the map .

The information collected from application A and application B is handled at the middleware level in the storytelling application of location-based human information. The middleware is a logical area that stores the sensing value received from the hardware of the smart device such as the GPS sensor as the raw data and connects it with the service application of the software.

In other words, in order to reconstruct or express human information, sensing values such as position value, lighting value, gyroscope value of smart device should be blown from hardware into middleware. In this embodiment, the service is configured on the map based on the position value, but the sensing value linked with the pattern or speed value of the gyroscope is also uploaded to the middleware and combined with the pattern or speed value information of the matching external application .

Next, the middleware combines the external application information of the current location with the current latitude and longitude values of the user as the center, and then filters the information with human information again. Here, the part of filtering or determining the human information is determined by judging humanistic values such as humanities scholars. However, the conventional category methods such as arts, culture, performances, arts and music can be applied as initial values.

Thus, a method of automatically constructing humanities information according to the present invention has been described. Next, various embodiments according to the present invention will be described.

First, the first embodiment will be described with reference to FIG. 7 is a view showing a conventional general subway route map. Fig. 7 is a map that can be easily found on the subway. It provides information on simple subway stations. Recently, subways in Korea are providing tourist information and historical information. For example, Subway Line 9 displays major tourist areas separately, and Line 1 introduces the mountains near Seoul.

As such, it is possible to get shared information called subway station map and to input humanistic information about it. For example, Gyeongbokgung has some historical background in Gyeongbokgung, and hidden stories about famous people who lived in Gyeongbok Palace can be introduced. Jongno Police Station (Exit No.3) and Changgyeonggung (Seventh Exit No. 7) are 700 meters away.

In particular, it is also a place of history where two of the three sons of Jeonjeon lost their lives when they moved to the place of Jongno Police Station and moved to the place of Changgyeonggung, where they had been in a strange place. By linking these two stations separately, it is possible to automatically provide information to passengers who are interested in the end of the Goryeo period and the history of the founding of the Joseon Dynasty, and those who are interested in the stories of their ancestors, Chung.

Next, the second embodiment will be described. First, after categorizing humanities, it can be spread to various services using meta tags. Currently, there are subcategories categorized into categories such as relationship-based services, commerce-related commerce, medical drug information, housework, and business. When communicating with these services, a mapping between the category categorized by the keyword 'humanities' and the category categorized as the existing service is required.

Table 1 shows the mapping and priorities of categorized humanities information classification codes and existing service categorization.

service Connected Applications resource weight Meta tag Priority Movie Youtube Video, id = 1 One Playlist One Text Twitter Text, id = 2 2 Book 2 GPS Foursquare Actuator, id = 3 One Behavior One Maps Google Maps Light, Id = 4 0 Behavior One Sound Last fm Light, Id = 4 0 Media List 0 CCTV N / A Video, id = 6 One Behavior

Table 1 shows an embodiment for classification of humanities information. By generalizing it, humanities information can be classified into literary (novel, poem), art (painting, performance, sound), criticism ) And the like. This value can be expressed as an initialized value, a constant.

After expressing it as a constant, the current user is located in the human information, often referred to human values (such as frequency and liking and sharing the number of times the weight is given to a large number of) given weight, literature, art, A value having priority is determined.

For example, if a user has entered an interest in a novel in a literary context at the current location as an initial value, or if the user does not input it, the other user will write a novel about 210-55 Kwanchol-dong, Jongno- If you share it, you will first derive the novel as human information. Such curation of human information is extracted from the human information database by external API and Internet crawling.

Referring to Table 1, there is a specific application connection according to the basic service type. Therefore, when a user watches YouTube, similar levers and the like can be recommended (similar categorization processing).

In addition, when the application (compass application) and the sensor (compass sensor) are operated, the weight and the corresponding meta value (orientation related contents or applications) are automatically extracted and transmitted to the server.

When a user cumulatively uses a specific sensing value or a specific sensing value in a specific place, the user can recommend an appropriate humanities category and corresponding contents and applications.

For example, if a user frequently uses Twitter in the vicinity of a newspaper company, he / she recommends similar applications that are linked to the Twitter at that time or place. In addition, through such a weighting context, it is possible to recommend a delicate humanistic category for a specific action (a sensing value that measures a user's specific action).

Next, the third embodiment will be described with reference to FIGS. 8 and 9. FIG. FIG. 8 is a view showing a conventional general map screen, and FIG. 9 is a diagram showing a map screen in which humanities contents are mapped according to an embodiment of the present invention.

First, referring to FIG. 8, a POI is arranged on an existing map screen. However, there is no 'humanities map' which is automatically edited and edited as a humanistic classification system in the maps that are currently commercialized.

Therefore, in this specification, the humanities contents can be mapped to the map map, as shown in FIG. 9, focusing on humanistic values. This can be done by simply laying out the image of the image on the screen and arranging 'Okin-dong Sueseongdong Valley', 'Choja Kim Junghee', 'Historical background of Chojang Kim Jeonghee'

In addition, reputation can be measured through interactions such as recommendation, review, share, comment, link, and social relationship guidance on humanities information. For example, Ahn Jung-geun's success, the day he wrote his diary, the day he died, and other related keywords such as 'Ahn Jung-geun' and history related stories, such as Naver, It is time.

The interaction of such information can be visualized on a map and presented as survey values for user interactions. As described above, the user can display the user satisfaction with at least one of the rating, score, preference, and sympathy for the humanities information and share with the other terminals through the network. The user can re- You can provide when, where, and how relationships are recommended and installed.

Next, the fourth embodiment will be described with reference to Fig. FIG. 10 is a diagram showing a map screen in which humanities information according to an embodiment of the present invention is constructed as a story. Referring to FIG. 10, only 'Song SeokWon' is displayed in the map application. It is not a feature of the present invention that this simple information is placed on the map of interest. In the present invention, it is possible to express a proper noun having a humanistic value of 'Song Seok Won' as a search result of Google, Naver, and the next, or to analyze a search keyword at a certain time during a year through a big data processing.

The analysis result may be in various forms such as an image, a moving image, a sound, a newspaper article, a location, a time tag, and the like. As shown in FIG. 9, it is possible to construct a story with the related information. In this case, an automation template for human construction is required, and an automation template is constructed through FIG.

Finally, the fifth embodiment will be described with reference to FIGS. 11 and 12. FIG. FIG. 11 is a view showing a map screen provided with business information according to an existing search result, and FIG. 12 is a diagram showing a map screen provided with humanities information according to an embodiment of the present invention.

First, art and music can be derived according to the classification of humanities information. Figure 11 depicts how humanities instruction on artwork can be improved and utilized. 11 is information on a region of interest provided in the existing Naver map. This information simply provides information such as coffee bean address, website, telephone number, and so on.

On the other hand, the coffee bean of FIG. 11 has the original work of "Candida Goffer". This can be displayed together with the map on the map as shown in FIG. 12 to provide humanities information, so that the sales can be increased by informing the users. By providing humanities information in this way, various expected effects can be created.

The embodiments of the present invention described in the present specification and the configurations shown in the drawings relate to the most preferred embodiments of the present invention and are not intended to encompass all of the technical ideas of the present invention so that various equivalents It should be understood that water and variations may be present. Therefore, it is to be understood that the present invention is not limited to the above-described embodiments, and that various modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims. , Such changes shall be within the scope of the claims set forth in the claims.

100: user terminal 110:
120: communication unit 130:
200: server 310: measured data
320: Database 330: categorized humanities information
340: Pattern information 350: External application information
360: Selected Humanities Meta Tags

Claims (11)

The user terminal driving a map or social network service (SNS) application;
Measuring at least one of a current position, a temperature, an acceleration, an equilibrium state, and a magnetic field strength using the measurement unit;
Directing the server to select a humanities meta tag representing a key value that the server can extract and search for and provide humanities elements by transmitting the measured data to a server;
The user terminal receiving the selected humanities meta tag from the server; And
The user terminal additionally or simultaneously guiding the humanities information to the map or the social network service application using the selected humanities meta tag,
The method for mapping the humanities information included in the social content to the map includes:
Classifying humanities related to spatial information in the social contents of the social contents;
Determining whether the spatial information corresponding to the humanities factor actually exists;
And when the spatial information corresponding to the humanities factor actually exists, it detects latitude and longitude corresponding to the actual place, and when the spatial information corresponding to the humanities factor is a place of processing, Detecting latitude and longitude of an area similar to the corresponding spatial information;
Placing at least one human-readable content, such as an image, a moving image and a text, related to the spatial information received from the social network service on the detected latitude and longitude in a map received from the map application; And
And storing the map in which the humanities contents are arranged in a humanities information library. The method according to claim 1,
Wherein the measured data comprises:
And a measurement value received from the object Internet around the user. The method according to claim 1,
In the humanities meta tag,
Categorizing the humanities information stored in the database of the server using the measured data, generating pattern information on the user's behavior using the measured data, and transmitting the categorized humanities information, the pattern information, A method for automatically constructing humanities information, characterized by selecting a humanities meta tag using information. The method of claim 3,
The categorized humanities information may include:
Wherein the categorized humanities information is divided into subcategories by using one or more of time, place, and user, and a priority or a weight is assigned using a combination of the subcategories. How to. delete delete The server storing humanitarian information in a database;
Receiving, by the server, at least one of current position, temperature, acceleration, equilibrium state, and magnetic field strength from a user terminal;
Categorizing the humanities information using data received from the user terminal;
The server generating pattern information for a user action using data received from the user terminal;
Selecting a human-readable meta tag indicating a key value that the server can extract, search for and provide human-related elements using the categorized human-readable information, the pattern information, and the external service information; And
The server transmits the selected humanities meta tag to the user terminal so that the user terminal is operated in addition to or simultaneously displaying humanity information using the selected humanities meta tag to a map or a social network service (SNS) The method comprising:
The method for mapping the humanities information included in the social content to the map includes:
Classifying humanities related to spatial information in the social contents of the social contents;
Determining whether the spatial information corresponding to the humanities factor actually exists;
Wherein when the spatial information corresponding to the humanities factor is present, the information processing apparatus detects the latitude and longitude corresponding to the actual location, and if the spatial information corresponding to the humanities factor is a processing location, Detecting latitude and longitude of an area similar to the spatial information corresponding to the factor;
Moving images, text, and text related to spatial information corresponding to the humanities factor received from the social network service on the detected latitude and longitude on a map received from the map application, Displaying the user satisfaction together; And
Storing the map in which the humanities contents are arranged in a space corresponding to the humanities factor in a human information library and sharing humanities contents and user satisfaction on the map with other terminals through a network; How to configure. 8. The method of claim 7,
The data received from the user terminal,
And a measurement value received from the object Internet around the user. 8. The method of claim 7,
The categorized humanities information may include:
Wherein the categorized humanities information is divided into subcategories by using one or more of time, place, and user, and a priority or a weight is assigned using a combination of the subcategories. How to. delete delete

Images