KR20150143971A - Mobile social network service system for processing big data for travel infomation based on location and method for processing of the same - Google Patents

Abstract

The present invention relates to a mobile social network service system for processing big data for travel based on location and a processing method thereof. The mobile social network service system includes a travel big data processing server which matches and stores travel information based on a location registered from a traveler terminal with a specific place of route map information. The travel big data processing server receives evaluation information about travel information from member terminals confirming the travel information, collects the travel information, the route map information, and the evaluation information in real time, and generates and stores travel big data. The travel big data processing server classifies and stores the travel big data into various categories, and extracts desired analysis data by using a natural language search function in accordance with analysis models. According to the present invention, the travel big data is searched, analyzed, and recommended through the travel big data processing server and the social network service, and thus it is possible to use the travel big data as a travel consulting solution according to various analysis models.

Description

TECHNICAL FIELD [0001] The present invention relates to a mobile social network service system and a mobile social network service system for processing location-based travel data,

More particularly, the present invention relates to a mobile social network service system, which maps registered travel information to a route map in the course of location-based walking, traveling and sightseeing, A mobile social network service system for processing travel big data according to location-based travel information in order to collect, provide, share, analyze and search for travel big data by collecting various travel related information such as travel information, And a method of processing the same.

Today, due to the improvement of living standards and the increase of leisure time, the frequency of travel and tourism is increasing, and the range of travel and tourism areas is also expanding. Accordingly, a lot of information useful for travel and tourism is needed. The rapidity and diversity of information transmission by the development of the Internet satisfies this.

In addition, development of mobile devices and mobile communication technologies enables the Internet to be accessed anytime and anywhere through mobile devices, and thus it is possible to acquire travel or tourism related information using mobile devices. That is, a traveler can access the Internet via a mobile device during travel or sightseeing, and obtain travel information that he / she wants or needs. However, the acquisition of travel information through a mobile device is performed by a rather passive method of searching the Internet, which is very time consuming, costly and laborious for travelers.

To solve these problems, travel-related applications and travel-related data processing technologies are disclosed in various ways. Here are some common travel-related applications and techniques for handling travel-related data:

First, the public data related to travel and tourism are secured by the 'National Travel Survey', which is provided annually by the Korea Tourism Organization. This public data is data through a simple questionnaire survey. It is impossible to utilize it as material for practical touring and tourism consulting.

In the case of travel applications, various travel and tourism applications are currently being developed. Travel applications include, for example, 'Travel Notes' by Dowa Soft Inc., which provides a service for users to create their travels in real time while traveling, 'Ramble'',And' Smart Tour 'produced by Korea Tourism Organization. Such a travel application can not be utilized as travel big data because it simply uploads data such as photographs, images, voices and memos of a user's travel route and travel route, or provides a one-way information delivery center service. And it is difficult to utilize it for travel tourism consulting.

Korean Registered Patent No. 10-1162986 (Published on July 09, 2012) Korean Patent Registration No. 10-1198814 (Published on November 12, 2012) Korean Patent Publication No. 10-2013-0037634 (published April 16, 2013) Korean Registered Patent No. 10-1281314 (Published on Jul. 03, 2013)

It is an object of the present invention to provide a mobile social network service system for providing location-based travel big data and a processing method thereof.

It is another object of the present invention to provide a method and system for mapping travel information registered in a course of a trip and a tour to a route map, collecting various travel related information such as travel information, sensor information and evaluation information, And to provide a mobile social network service system for sharing, analyzing and searching the mobile social network service system.

It is still another object of the present invention to provide a mobile social network service system for providing location-based travel big data that can be analyzed by various categories and a processing method thereof.

It is another object of the present invention to provide a mobile social network service system and a method of processing the mobile social network service system for providing location-based travel big data that can be utilized for travel and tourism consulting.

In order to achieve the above objects, the mobile social network service system of the present invention collects travel information and evaluation information in real time to generate travel big data, and extracts and provides desired analysis data from travel big data There is one feature. Such a mobile social network service system can be utilized for travel and tourism consulting using travel big data.

According to another aspect of the present invention, there is provided a mobile social network service system for processing location-based travel big data, comprising: a mobile communication network; A plurality of traveler terminals connected to the mobile communication network and generating various kinds of travel information while traveling to a specific place; A plurality of member terminals for confirming the travel information through the mobile communication network and generating evaluation information on the travel information; When the traveler terminal registers the travel information, provides route map information including the specific location, receives the travel information from the traveler terminal, maps the route information to the route map information, stores the travel information, Map information and the evaluation information in real time to generate and store the travel big data and to process the travel big data to extract analysis data according to a user's desired analysis model from the travel big data, .

In one embodiment of the present invention, each of the tourist terminals has a sensor unit for providing various sensing information about the specific place; The travel information includes the sensing information and is registered in the travel big data processing server.

In another embodiment, the member terminals include: Is connected to the travel big data processing server or the social network service, and registers the evaluation information in the travel big data processing server or the social network service.

In another embodiment, the travel big data processing server comprises: Further comprising a natural language search function for processing the travel information, the route map information and the evaluation information of the desired contents from the travel big data.

In another embodiment, the travel big data processing server comprises: Classifying and storing the travel big data by category; Providing a dashboard that can be set to extract an analysis result of a desired content from the travel big data; Analyzes the analysis result of the travel big data by category, and provides the visualized by the set dashboard.

In another embodiment, the travel big data processing server comprises: A communication unit connected to the mobile communication network and configured to process data between the traveler terminal and the member terminal and the travel big data processing servers; A storage device for storing a travel application for processing to generate, disclose, share, analyze and extract the travel big data in real time; A control unit for controlling the travel application to be processed; And a database for storing at least the travel information, the route map information, the evaluation information, the travel big data, and the dashboard according to the process of the travel application under the control of the control unit; Wherein the travel application classifies the travel information, the route map information, and the evaluation information in real time to classify the travel big data according to various categories, and transmits the classified travel information to the travel terminal and the member terminals Processes and processes the travel big data to be disclosed, confirmed, evaluated, and shared, and sets up the dashboard so as to extract analysis results of a desired content.

According to another aspect of the present invention, a method of processing a mobile social network service system for processing location-based travel big data is provided.

According to another aspect of the present invention, there is provided a method of processing a mobile social network service system, the method comprising: receiving and storing location-based travel information from at least one traveler terminal; Providing route map information on the travel place to the traveler terminal, mapping the travel information to the route map information, and storing the travel route information; When the evaluation information for the travel information is registered from any one of the plurality of member terminals, generating and storing the travel big data by collecting the travel information, the route map information, and the evaluation information in real time; Classifying and analyzing the travel big data by various categories according to the contents of the travel information and the evaluation information; Receiving the travel information and the keyword included in the evaluation information from the member terminal and searching for the travel big data; Setting a dashboard to extract and provide desired analysis results from the travel big data for each category; And providing analysis results of the travel big data analyzed and visualized in accordance with the set dashboard.

In one embodiment of this aspect, registering the travel information comprises: Receiving membership information about the user of the tourist terminal and the member terminal and registering the member as a member; Transmitting the route map information to the traveler terminal so that a user of the traveler terminal sets a travel route traveling; And receiving and storing and registering the travel information for the specific place selected from the traveler terminal when a specific place is selected from the route map information set from the traveler terminal.

In another embodiment, the step of registering the evaluation information comprises: Searching for the travel information by using the natural language search function to confirm travel information desired by the user of the member terminal; Providing the travel information according to a search result to the member terminal; Determining whether the evaluation information on the travel information is registered from the member terminals, and when the evaluation information is registered, collecting and storing the evaluation information in the travel big data in real time; Determining whether to share the travel information and the evaluation information with the other member terminals from the member terminal, and processing the travel information and the evaluation information to be mutually shared among the other member terminals.

In yet another embodiment, the step of generating the tour big data comprises: Collecting the travel information, the route map information, and the evaluation information in real time for each category; Automatically recognizing keywords included in the travel information and the contents of the evaluation information; And classifying and storing the travel big data by category.

In another embodiment, the step of analyzing the trip big data comprises: Establishing an analysis model for deriving a preference or recommendation result for the travel information from the travel big data classified by the category; Automatically classifying the analysis data corresponding to the established analysis model by the category; And extracting the analysis data for each category suitable for the set dashboard.

In another embodiment, the step of registering the travel information comprises: Receives the sensing information about the travel location from the sensor unit of the traveler terminal, and registers the sensing information by including the sensing information in the travel information.

As described above, the mobile social network service system for processing the location-based travel big data of the present invention can use the travel application to extract location-based travel information, route map information, and evaluation information in real- The user can more accurately provide the travel information desired by the user.

In addition, the mobile social network service system of the present invention enhances the social network service (SNS) function to collect all data related to travel information in real time using a travel application for sharing or evaluating travel information among followers, By providing a service that generates, analyzes, searches, extracts, and provides data, it shows a path based on the existing simple location, or, compared with an application that shows a travel route around photographs or images, .

In addition, the mobile social network service system of the present invention collects travel big data in real time and analyzes travel big data according to the established analysis model, thereby making it possible to provide not only decision makers of local government, local government policy makers, It can be usefully used for travel related business planners planning, and it can provide data consulting that can be utilized when planning travel plans and planning travel products.

Further, the present invention can be applied not only to profitability and risk analysis but also to marketing activities including campaigns, by utilizing Travel Big Data for travel and tourism consulting, and dividing analysis data into importance and concentration in stages , The service fees can be differentiated, and in the case of general consulting, the data and consultant service costs can be expanded.

Therefore, by developing a storytelling travel application as a mobile platform using the mobile social network service system that processes the location-based travel big data of the present invention, it is possible to lay the foundation of various travel business and tourism business.

In addition, by using the mobile social network service system that processes the location-based travel big data of the present invention, it is possible to enhance the effect of rediscovering tourism resources that were not utilized in famous tourist sites, It is possible to recommend products and route courses. Overall, it can contribute to advancement of various travel and tourism business through travel and tourism consulting based on travel Big Data.

FIG. 1 is a block diagram of a mobile social network service system for processing location-based travel big data according to the present invention; FIG.
FIG. 2 is a block diagram showing the configuration of the travel big data processing server shown in FIG. 1; FIG.
3 is a flowchart showing a processing procedure of a mobile social network service system for processing travel big data according to the present invention;
FIG. 4 is a flowchart showing the processing procedure of the travel information registration routine shown in FIG. 3; FIG.
5 is a flowchart showing the processing procedure of the evaluation information registration routine shown in FIG. 3;
FIG. 6 is a flowchart showing the processing procedure of the travel big data generation routine shown in FIG. 3;
FIG. 7 is a flowchart showing the processing procedure of the travel big data analysis routine shown in FIG. 3; FIG.
8 is a diagram illustrating a state in which location-based travel information and path map information are mapped according to an embodiment of the present invention;
9 is a diagram showing a state in which location-based travel information and path map information are mapped on a traveler terminal and a member terminal in a mobile social network service system according to an embodiment of the present invention; And
FIGS. 10 and 11 are views for explaining concepts and effects applied to travel consulting through travel big data collection and analysis according to the present invention.

The embodiments of the present invention can be modified into various forms and the scope of the present invention should not be interpreted as being limited by the embodiments described below. The present embodiments are provided to enable those skilled in the art to more fully understand the present invention. Therefore, the shapes and the like of the components in the drawings are exaggerated in order to emphasize a clearer explanation.

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

FIG. 1 is a block diagram showing the construction of a mobile social network service system for processing location-based travel big data according to the present invention, FIG. 2 is a block diagram showing a configuration of a travel big data processing server shown in FIG. 1 to be. FIG. 8 is a diagram illustrating a state in which location-based travel information and path map information are mapped according to an embodiment of the present invention. FIG. 9 is a diagram illustrating a location- FIG. 10 and FIG. 11 are diagrams showing the state in which the information and the path map information are mapped on the traveler terminal and the member terminal, and FIGS. 10 and 11 are diagrams showing the concepts and effects applied to travel consulting through travel big data collection and analysis according to the present invention. FIG.

Referring first to FIG. 1, a mobile social network service system 100 of the present invention processes location-based travel big data using a mobile platform.

To this end, the mobile social network service system 100 according to the present invention registers various travel-based travel information generated according to a traveler's own travel story in the travel big data processing server 110, To process the travel big data to share and spread the travel big data by using the travel big data processing server 110 and the social network service (SNS), and to analyze the travel big data by category And processes the travel big data to extract the analysis data of the desired type.

In this embodiment, the mobile social network service system 100 of the present invention includes a mobile communication network 102, a plurality of traveler terminals 150 connected to the mobile communication network 102, Analyzing and providing travel big data in which travel information, various travel related information, and evaluation information are collected by receiving and registering various travel information according to a location basis from each of the travel information providing servers 150, And a plurality of member terminals 160 connected to the travel data processing server 110 or the social network service (SNS) for providing travel information and registering evaluation information corresponding to travel information. To this end, the mobile social network service system 100 of the present invention includes a travel application 120 provided to the traveler terminal 150 and the member terminals 160.

The traveler terminal 150 and the member terminal 160 are provided with mobile electronic devices such as a smart phone, a tablet computer, and a portable computer capable of communicating data with the tour big data processing server 110 by using the mobile communication network 102 do. In this embodiment, the traveler terminal 150 and the member terminal 160 are provided with mobile electronic devices (for example, smart phones) having the same functions, but the traveler terminal 150 transmits the travel information to the travel big data processing server The member terminal 160 is a mobile electronic device that provides travel information to a mobile electronic device that provides travel information from the travel big data processing server 150 or a social network service (SNS) .

The traveler terminal 150 has a sensor unit 152 including various sensors therein. The sensor unit 152 includes, for example, a GPS sensor, a temperature sensor, a humidity sensor, a gyroscope sensor, a geomagnetic sensor, an acceleration sensor, a gravity sensor, a light intensity sensor, a proximity sensor, and / or a digital compass sensor. Each of the sensors is provided with a sensor in the form of hardware or software. The traveler's terminal 150 transmits various sensing information sensed through the sensor unit 152 to the travel big data processing server 110 in conjunction with travel information, for example, time, weather, day and night time zone, .

The traveler terminal 150 transmits various types of travel information generated by the user of the traveler terminal 150 (hereinafter referred to as a traveler) during walking, traveling or sightseeing to a specific place to the tour big data processing server 110, do. The travel information is provided, for example, as a photograph, a moving picture, a text, and a recording file. The traveler selects the specific place on the route map information provided from the trip big data processing server 150, and stores it as location-based data corresponding to the specific place.

The member terminal 160 accesses the travel big data processing server 110 through the mobile communication network 102 or accesses the social network service SNS and transfers the travel data from the travel big data processing server 110 to the traveler terminal 150 Check registered and open travel information. The member terminal 160 provides evaluation information on travel information to the tour big data processing server 110 or the social network service (SNS). The evaluation information includes rating comments, ratings, followers, and / or recommendation numbers of followers registered from the tour big data processing server 110 or the member terminal 160 connected to the social network service (SNS). Of course, the member terminal 110 may also perform the functions of the traveler terminal 150.

Travel information and evaluation information are displayed mutually through a social network service (SNS) program (not shown) such as text, mail, conversation, chat and a shared application to each of the tourist terminal 150 and the member terminal 160 , ≪ / RTI >

The travel big data processing server 110 has route map information for walking, traveling, and tourist areas, and provides route map information to the tourist terminal 150 to register the travel information. The route map information is information for specifying a specific place on the route course and a specific location on the route course, such as a prototype, from a specific place for registering travel information from the traveler terminal 150, The travel information related to the place is mapped and stored. At this time, the distance map information stores the distance and time between each place.

The travel big data processing server 110 receives the evaluation information registered from the member terminals 160 and generates and stores the travel big data by collecting the location-based travel information, the route map information, and the evaluation information in real time.

In addition, the travel big data processing server 110 extracts analysis data of a desired content from the travel big data by using an analysis dashboard that can be set by a user in a desired form. To this end, the travel big data processing server 110 classifies and stores travel big data according to various categories, automatically generates an algorithm of a natural language search function, and automatically extracts analysis data of a desired content when a keyword is input.

2, the travel big data processing server 110 of this embodiment includes a control unit 112, a communication unit 114, a storage device (not shown) in which the travel application 120 is stored, And a database 130. Although not shown in the figure, the travel big data processing server 110 includes components of a typical computer system, for example, a central processing unit, a memory device, an input / output device, and a storage device.

The control unit 112 controls and processes all operations of the travel big data processing server 110. The control unit 112 may include, for example, hardware such as a central processing unit, a memory or a web server, as well as software such as an operating system program, a control program, and the like.

The control unit 112 processes the location-based travel information 134 between the tourist terminals 150 and the member terminals 160 through the travel application 120 to mutually disclose, share, and evaluate the travel information 134, Route map information 136 and evaluation information 138 in real time to generate travel big data 140 for each category. When the natural language search keyword is input from the member terminals 160, the control unit 112 analyzes data corresponding to the natural language search keyword from the travel big data 140 by category and extracts the analysis data in a desired form . The control unit 112 processes the user of the traveler terminal 150 and the member terminals 160 to register as a member of the tour big data processing server 110, Based travel information 134, maps it to the route map information 136, stores it, and registers it. The control unit 112 also receives the evaluation information 138 registered from the member terminal 160 and collects the travel information 134, the route map information 136 and the evaluation information 138 in real time and outputs the travel big data 140 And stores it in the database 130. When the natural language search keyword is inputted from the member terminals 160 in order to extract the analysis data, the control unit 112 processes the analysis dashboard 142 to set a desired type of analysis dashboard 142, Extracts appropriate analysis data, and processes it to provide it to a desired user.

The communication unit 114 is provided to enable mutual data communication between the traveler terminal 150, the member terminal 160 and the travel big data processing server 110 through the mobile communication network 102. Of course, the communication unit 114 may be provided to enable mutual data communication between the tourist terminal 150, the member terminal 160, and the travel big data processing server 110 through a wired or wireless communication network.

The travel application 120 is stored in a storage device (not shown), reads various information from the database 130 under the control of the controller 112 or stores various information generated according to the processing in the database 130 . The travel application 120 has a social network service (SNS) function for disclosing, verifying, evaluating and sharing the travel big data 140 between the traveler terminal 150 and the member terminals 160. The travel application 120 is installed inside the traveler terminal 150 and the member terminals 160 by downloading from the travel big data processing server 110 or the application market.

The travel application 120 under the control of the controller 112 provides an interface between the traveler terminal 150 and the member terminals 160 and the tour big data processing servers 110 to generate travel big data And an analysis dashboard 142 for analyzing the travel big data 140. The travel big data processing module 122 processes the travel big data 140 and the analysis big dashboard 142 so that the analysis dashboard 142 is set to extract analysis data of a desired content, The user of the member terminal 160 searches for desired data using keywords including natural words included in the travel data 124 and general keywords such as general keywords as well as spoken words, And a natural language search engine 126. [

The travel big data processing module 122 may be implemented by, for example, an open source software development kit (SDK) or a travel big data processing algorithm And processes all the processes of the travel application 120 through the process. That is, the travel big data processing module 122 processes various information generated in the process of the travel application 120 to store the information in the database 130. [ The travel big data processing module 122 processes the location-based travel information 134, the route map information 136, and the evaluation information 138 in real time to generate and store the travel big data 140. At this time, the travel big data processing module 122 generates and stores the travel big data 140 by classifying the contents included in the travel information 134 and the evaluation information 138 into categories. For example, categories include categories by category, such as season, age, gender, region, time, and theme, categories by preference, such as follow, referrals (or followers' likes), views, A cumulative distance, a number of visits, a popular destination, and the like, and it is possible to derive the preference or recommendation result suitable for the user of the member terminal 160 when searching for the travel big data 140 have.

The analysis engine 124 has an analysis algorithm for analyzing and processing the travel big data 140 so as to derive preferences or recommendation results for the travel information 134. [ The analysis engine 124 analyzes the travel big data 140 according to the conditions for establishing the analysis model of FIG. 11, for example. These results can be used to establish policies for travel and tourism, to plan products, to determine profitability and risk in advance, and to use them for travel and tourism-related campaigns and marketing. At this time, the analysis result of the analysis engine 124 may be provided to a user, for example, a decision maker of a public institution, a policy maker of a local government, and a planner of a travel product, and can be utilized as travel and tourism con- servating data.

The natural language search engine 126 may then be analyzed by the analysis engine 124 or may be provided to the natural language search engine 126 from the member terminals 160 to derive a desired result from the content included in the travel information 134 and the evaluation information 138. [ When a keyword is input, an algorithm is automatically generated and the search result is extracted. For this, the natural language search engine 126 applies a natural language search processing technique including not only general keywords but also spoken words, abbreviated words, and / or slang words, thereby obtaining not only travel information 134 but also evaluation information 138), the accuracy and the scalability can be improved.

This travel application 120 allows a user to create his / her travel route through a location-based app, map photos, recordings, texts, images, and the like to a route and then share the same with other users (i.e., followers) Platform, in this process, it is possible to provide a variety of games related to travel places and travel routes, as well as various killer contents such as audio casting and route recommendation, thereby providing fun elements, 160 may be provided to indirectly experience the travel location or travel route. The specific processes for this travel application 120 will be described in detail in the following FIGS.

The database 130 stores various information according to the process of the travel application 120 under the control of the controller 112. In this embodiment, the database 130 is provided inside the travel big data processing server 110, but it may be provided as a separate database server.

That is, the database 130 stores membership information 132, travel information 134, route map information 136, evaluation information 138, travel big data 140, and analysis dashboard 142 .

The member information 132 includes various information registered at the time of member registration by the users of the traveler terminal 150 and the member terminal 160 accessing the tour big data processing server 110. [ In this embodiment, the membership information 132 includes, for example, a name, an ID, a password, a nickname, a contact, and an e-mail address.

The travel information 134 includes data generated by a user of the traveler terminal 150 during walking, traveling, and sightseeing at a specific place. The travel information 134 is transmitted from the traveler terminal 150 to the travel big data processing server 110 through the mobile communication network 102. The travel information 134 includes, for example, photographs, moving pictures, text, and recorded files. The travel information 134 is mapped to a specific place on the route map information 136 provided from the tour big data processing server 110, . The travel information 134 includes various sensing information (for example, time, weather, day / night time zone, bearing, speed, and distance) sensed by the sensor unit 152 of the traveler terminal 150. The travel information 134 is provided to the member terminals 160 through the mobile communication network 102 together with the path map information 138 and the sensing information so that they are mutually disclosed, shared and evaluated among the member terminals 160.

The route map information 136 is provided from the travel big data processing server 110 to the traveler terminal 150. The route map information 138 is provided when registering the travel information 134 from the traveler terminal 150 and is mapped to register the travel information 134 at a specific place on the route map information 136. [ In this embodiment, the route map information 136 includes map data 310 for a place where the user of the traveler terminal 150 is walking, traveling, and sightseeing, and map data 310 for the map data 310 And path data 320 indicating a path course. The path data 320 is provided as a user interface that plays a role of a linear map and simultaneously serves as a time line by configuring the distance and time of travel as a time line.

This path data 320 allows the user of the traveler terminal 150 and the member terminal 160 to grasp the travel path and the travel story at a short time and can recognize the travel path and the travel story between the specific places 322 and 326 The distance and time between various data or records included in the travel information 134 are calculated and arranged 324 so that the concept data includes data that can give the same feeling as traveling.

Therefore, the traveler terminal 150 or the member terminal 160 is provided with route data 350 (FIG. 9) formed by the route map information 136 on the screens 330 (332 to 336) of the travel application 120, Travel information 340 and evaluation information 342 for the specific place 352 of the route data 350 are displayed. At this time, when the location of the route data 350 is changed along the time line, the screens 332 to 336 of the travel application 120 are moved in the left and right directions, and the route data 350 of the screens 332 to 336 is moved, The different travel information 340 and the evaluation information 342 mapped to each of the specific places 352 are displayed on the display unit 352. [

The screens 330 (332 to 336) of the travel application 120 are travel destination information master pages provided by the travel application 120. In the case of a travel destination information page of a specific place, for example, 'Samcheong-dong road' Only one travel destination information master page is created for one travel destination through the content template and updated continuously. In addition, the travel destination information master page can continuously generate and update travel information for each travel area by travelers, cultural commentators, and travel bloggers.

When such a travel destination information master page is created and updated, it can be constructed as a 'travel related online encyclopedia' such as a wikipedia. In this case, since the travel information is clearly organized by the defined item or category, it is possible to improve the quality of the travel-related content and suitably use the travel big data for various purposes or purposes. It is possible to search and utilize the consistent travel information even from the viewpoint of the user receiving the actual travel related contents.

The evaluation information 138 is obtained by the member terminals 160 after confirming the travel information 134 disclosed in the tour big data processing server 110 or the social network service SNS through the mobile communication network 102, ) Is the registered data. In this embodiment, the evaluation information 138 includes comments, evaluation articles, ratings, followers, and / or recommendation of followers registered for the travel information 138 from the member terminal 160. The evaluation information 138 is included in the travel big data 140 by combining the route map information 136 and the travel information 134 including the sensing information. The evaluation information 138 includes a free format such as a comment and an evaluation article, and a fun factor such as a rating for rating is used to apply a rating system for a travel route, a restaurant, a theme program, and a lodging facility, It is provided for modeling with as much formal data as possible.

The travel big data 140 is generated and stored by the travel application 120 by collecting the route map information 136 and the travel information 134 including the sensing information and the evaluation information 138 in real time. The travel big data 140 is disclosed, shared and spread by using the travel big data processing server 110 and the social network service (SNS). Travel big data 140 is generated by classifying according to categories included in travel information 134 and evaluation information 138. Therefore, when the travel big data 140 is created for each category or travel information 134 and evaluation information 138 are added by travelers and members, the added contents are updated in real time in the corresponding category. For example, categories include categories by category, such as season, age, gender, region, time, and theme, categories by preference, such as follow, referrals (or followers' likes), views, , The cumulative distance, the number of visits, the popular destination, and the category of each place. The travel big data 140 is analyzed for each category through the analysis engine 124 and extracted as analysis data suitable for a specific use or purpose.

The travel big data 140 is classified into stereotyped data based on a user's experience and unstructured data reflected in various comments, evaluation articles, ratings, and recommendation numbers. The stereotyped data includes user's membership information 132 as well as travel information 134 such as a travel route, an image, a moving picture, a memo, etc. recorded through the travel application 120, And is mapped with data such as time, weather, day / night, bearing, speed, and distance. Therefore, the user's form data is accumulated not in the simple user experience but in the travel big data 140, which is expanded in combination with various sensor data. For example, in the case of the preference data for a specific place, the evaluation for the travel destination may be different depending on whether it is daytime or nighttime, so that detailed forecasting can be possible using the travel big data 140 of the present invention.

The analysis dashboard 142 is a user interface for centrally managing and searching various information on one screen. The dashboard 142 can be configured to reuse various types of web-based contents, Pages, messaging, media files, and so on. Such an analysis dashboard 142 facilitates user and group management, provides appropriate information for decision making and job analysis, and can be supported by mobile equipment such as wireless application protocol (WAP) phones and portable computers.

Therefore, the analysis dashboard 142 is a form of the analysis dashboard 142 when the user of the member terminal 160 searches for the natural language input from the member terminal 160 to provide analysis data of a desired type, . The analysis dashboard 142 extracts analysis data suitable for the form set by the user by the analysis engine 124, visualizes the analysis data, and processes the analysis data to be provided to the users. Therefore, the present invention can implement differentiation factors such as recommending the analysis result in a desired form by configuring the analysis dashboard 142 of the travel big data 140 as desired by the user.

Therefore, the travel big data processing server 110 of the present invention receives the location-based travel information 134 from the tourist terminals 150 using the travel application 120, maps the route information to the route map information 136, And receives the evaluation information 138 corresponding to the travel information 134 from the member terminals 160 to acquire the location-based travel information 134, the route map information 136, and the evaluation information 138 And collects and stores travel big data 140 classified by various categories. The travel big data processing server 110 of the present invention can search travel information 134 and evaluation information 138 of a desired content from the travel big data 140 by using a natural language search keyword, A desired type of analysis data can be extracted from the travel big data 140 using the board 142 and provided.

Therefore, the mobile social network service system 100 of the present invention searches for, analyzes and recommends the travel big data 140 through the travel big data processing server 110 or the social network service (SNS) It can be used as a travel consulting solution according to

Next, processing procedures of the mobile social network service system of the present invention will be described in detail with reference to FIGS. 3 to 9. FIG.

FIG. 3 is a flowchart showing a processing procedure of a mobile social network service system for processing travel big data according to the present invention, FIG. 4 is a flowchart showing the processing procedure of the travel information registration routine shown in FIG. 3, Fig. 6 is a flow chart showing the processing procedure of the travel big data generation routine shown in Fig. 3, Fig. 7 is a flowchart showing the processing procedure of the evaluation information registration routine shown in Fig. 3, Fig. 7 is a flowchart showing a processing procedure of a big data analysis routine. Fig. These processing procedures are provided in a travel application 120 which is processed by the travel big data processing server 110 and stored in a storage device (not shown) of the travel big data processing server 110 do.

3, the tour big data processing server 110 receives the location-based travel information 134 from the traveler terminal 150 and registers the location-based travel information 134 in the database 130 at step S200. In step S210, the travel big data processing server 110 maps the location-based travel information 134 and the route map information 136 and stores them.

4, the tour big data processing server 110 receives the member information 132 for the user of the tourist terminal 150 in step S202, Register. In addition, the tour big data processing server 110 processes the users of the member terminals 160, which are not registered members, to register as members. In step S204, the travel big data processing server 110 performs processing to set a travel route. At this time, the travel big data processing server 110 transmits the route map information 136 for the walking, traveling, and sightseeing places to the traveler terminal 150, and processes it so as to set the travel route. If the specific location is selected from the travel route set by the traveler terminal 150 in step S206, that is, the route map information 136, the travel big data processing server 110, in step S208, And stores the travel information 134 in the database 130 and registers it. Here, the travel information 134 is transmitted from the sensor unit 152 of the traveler terminal 150 to the travel big data processing server 110 by combining various sensing information.

3, when the evaluation information 138 for the travel information 134 is registered from the member terminal 160 to the tour big data processing server 110 or the social network service SNS in step S220, The travel big information 140 is generated and stored by collecting the travel information 134, the route map information 136 and the evaluation information 138 in real time in S240.

5, in step S222, the evaluation information registration routine S220 receives from the travel big data processing server 110 a request for confirming travel information 134 desired by the user of the member terminal 160 Search for travel destinations and travel routes using the natural language search function. At this time, the user of the member terminal 160 may search for the travel information 134 through the social network service (SNS). In step S224, the travel big data processing server 110 provides the travel information 134 according to the search result to the member terminal 160. [ It is determined in step S226 whether the evaluation information 138 for the travel information 134 is registered from the member terminals 160. [ In this embodiment, the evaluation information 138 includes comments, evaluation articles, ratings, followers, and / or recommendation of followers registered for the travel information 138 from the member terminal 160.

When the evaluation information 138 is registered, the travel big data processing server 110 receives the evaluation information 138 and stores it in the database 130 in order to generate the travel big data 140 in step S228. The travel big data processing server 110 determines whether the travel information 134 and the evaluation information 138 are to be shared among the other member terminals 160 in step S230. In step S232, the travel big data processing server 110 And the travel information 134 and the evaluation information 138 are mutually shared among the other member terminals 160 through the social network service (SNS).

6, in step S242, the travel big data processing server 110 transmits travel information 134, route map information 136, and evaluation information 138 to a category Collect in real time. The travel big data processing server 110 automatically recognizes the keywords included in the contents of the travel information 134 and the evaluation information 138 in step S244. Here, the keyword is used to increase the accuracy and scalability of the travel information 134 and the evaluation information 138, and to accurately analyze the travel big data 140, various keywords such as spoken words, acronyms, and slang, Natural language search technology is reflected to enable search function. Then, in step S246, the travel big data processing server 110 classifies the travel big data 140 by category, generates or updates the travel big data 140, and stores it in the database 130. [

Referring back to FIG. 3, the travel big data processing server 110 analyzes the travel big data 140 in step S250. That is, as shown in FIGS. 7 and 11, the travel big data analysis routine S250 can derive the preference or the recommendation result for the travel information 134 from the travel big data 140 stored for each category in step S252 In step S254, the travel big data processing server 110 automatically selects the analysis data corresponding to the established analysis model by category, and in step S256, the analysis data of the content desired by the user is classified by category . In this embodiment, the analysis data includes categories classified by season, age, gender, region, time period, theme, and the like, categories by preference such as follow number, recommendation number (or likelihood of followers), number of views, Number of visits, number of visits, popular destinations, etc., and category by location. The travel big data 140 is analyzed by the analysis engine 124 for each content category suitable for the analysis dashboard 142 and extracted as analysis data suitable for a specific use or purpose.

Referring again to FIG. 3, in step S260, the tour big data processing server 110 receives a keyword from the member terminal 160 and searches for the travel big data 140. FIG. In this embodiment, the search of the travel big data 140 applies the natural language search processing technique. This is because not only keywords included in the travel information 134 and the evaluation information 138 but also keywords such as comments, evaluation articles, and recommendation texts to be evaluated by the followers, as well as spoken words, abbreviations, and slang, Natural language search processing technology is applied. That is, various types of synonyms or synonyms are recognized as one main keyword, and various slang, abbreviations, and internet terms are stored in the database in advance, and various keywords corresponding to contents desired by the user are obtained from the travel big data 140 By comparison processing, the accuracy and expandability of information desired by the user can be improved. In addition to this, evaluation of travel information can be done by modeling as much formal data as possible by adopting the free format such as comment and introducing the fun factor such as star selection and applying the rating system for travel route, restaurants, programs, / RTI >

In step S270, the tour big data processing server 110 processes the form of the analysis dashboard 142 so as to provide the analysis result desired by the user of the member terminal 160 itself. For example, the analysis dashboard 142 is used to select a category desired by the user, or a keyword corresponding to the category is input to set the form of the analysis dashboard 142. And then provides visualized travel animated data 140 suitable for the analysis dashboard 142 set in step S280. At this time, the analyzed travel big data 140 is provided to be displayed to the user of the desired member terminal 160. In this embodiment, the analysis dashboard 142 is connected to the tour big data processing server 110 and analyzed in the form of a dashboard according to the category and menu preset by the user of the member terminal 160 itself And is provided so that the travel big data 140 can be confirmed. That is, the set analysis dashboard 142 receives the travel big data 140 from which the travel information 134, the route map information 136, and the evaluation information 138 are collected, by age, sex, region, And the like, and it is provided with a visualization so that it can be automatically selected according to categories such as stars, etc., and it is provided with analysis result of the analysis dashboard (142) according to the level of members, such as general members, individual and corporation paid members, The degree of exposure can be differentiated and provided.

Therefore, as shown in FIGS. 10 and 11, the travel big data 140 of the present invention can provide travel information 134 by category from various users such as travelers, travel experts, members and public API (Application Programming Interface) users And collects and collects in real time all the processes of service processing to generate travel big data 140, establishes an analysis model of travel big data 140, and provides analysis results in a dashboard form through the established analysis model It can be used as a marketing check tool for promoting campaigns such as establishing travel policies, reviewing profitability and risks in product planning, and visualizing campaigns. Such travel data processing services can be provided to decision makers of public agencies, tourist policy makers of local governments, travel planners of travel companies, and the like, so that a business model can be constructed and profit generation can be expected.

Also, when various search words are registered in the tour big data processing server 110 through the setting menu of the user, it is possible to grasp the collection status of the travel big data 140 in real time, thereby automatically recommending recommended travel places and travel courses You can set it to. For example, to develop a tourism program for women in their 50s in Gangwon-do, you can select keywords such as 50s, women, Gangwon-do, mountains, and sea, and analyze necessary data such as ranking, ). In addition, in the case of a travel agency corporation member or a local government member, evaluation data of the travel big data (140) for the developed travel products or festivals can be checked in real time, and evaluation of specific regions or specific travel products is also possible. That is, if a specific tour product or a festival name is selected as a keyword, travel big data for frequency of use, evaluation, preference, dissatisfaction, remedy, and the like can be collected and provided in real time

The analysis dashboard 142 can retrieve information of a desired content for each category from the travel big data and provide various information related to travel to the users.

 That is, when a customer using travel big data inputs a specific category desired by him, the search result of the related content and the big data insight are provided in real time in the travel big data. For example, if the user selects a category keyword such as 'family', '40', and 'day off' in the category, the travel big data processing server 110 transmits the travel keyword to the traveler terminal 150 and the member terminals 160 Displays information about the associated travel big data. In this case, the information of the related travel big data can be displayed together with the preference ranking according to the one-day travel preference area, the one-day travel preference route, and the like, or the surrounding restaurants or the hotspot area related to the preferred or preferred route.

In the case of a travel agent planning a travel product or a public servant in charge of a tourism business, a category keyword such as "Gangwon-do", "family" and "festival" is input through the analysis dashboard 142 , Evaluation information 138 such as a preference for a tour product or a travel destination planned by the user, and a recommendation or comment for the travel product can be confirmed together.

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. Various changes and modifications can be made without departing from the scope of the present invention.

100: Mobile social network service system
102: mobile communication network
110: Travel Big Data Processing Server
112:
114:
120: Travel application
122: Travel Big Data Processing Module
124: Analysis engine
126: Natural language search engine
130: Database
150: traveler's terminal
152:
160: Member terminal

Claims (12)

1. A mobile social network service system for processing location-based travel big data, comprising:
A mobile communication network;
A plurality of traveler terminals connected to the mobile communication network and generating various kinds of travel information while traveling to a specific place;
A plurality of member terminals for confirming the travel information through the mobile communication network and generating evaluation information on the travel information;
When the traveler terminal registers the travel information, provides route map information including the specific location, receives the travel information from the traveler terminal, maps the route information to the route map information, stores the travel information, Map information and the evaluation information in real time to generate and store the travel big data and to process the travel big data to extract analysis data according to a user's desired analysis model from the travel big data, And a mobile social network service system.
The method according to claim 1,
Each of the tourist terminals having a sensor unit for providing various sensing information about the specific place;
Wherein the travel information includes the sensing information and is registered in the travel big data processing server.
3. The method of claim 2,
The member terminals comprising:
Wherein the mobile social network service system is connected to the travel big data processing server or the social network service and registers the evaluation information in the travel big data processing server or the social network service.
4. The method according to any one of claims 1 to 3,
Wherein the travel big data processing server comprises:
Further comprising a natural language search function for processing to search the travel information, the route map information and the evaluation information of the desired contents from the travel big data.
5. The method of claim 4,
Wherein the travel big data processing server comprises:
Classifying and storing the travel big data by category;
Providing a dashboard that can be set to extract an analysis result of a desired content from the travel big data;
Analyzing the analysis result of the travel big data by category and visualizing the analysis result by the set dashboard.
6. The method of claim 5,
Wherein the travel big data processing server comprises:
A communication unit connected to the mobile communication network and configured to process data between the traveler terminal and the member terminal and the travel big data processing servers;
A storage device for storing a travel application for processing to generate, disclose, share, analyze and extract the travel big data in real time;
A control unit for controlling the travel application to be processed;
And a database for storing at least the travel information, the route map information, the evaluation information, the travel big data, and the dashboard according to the process of the travel application under the control of the control unit;
Wherein the travel application classifies the travel information, the route map information, and the evaluation information in real time to classify the travel big data according to various categories, and transmits the classified travel information to the travel terminal and the member terminals Wherein the process is performed to disclose, identify, evaluate and share the travel big data, and to set the dashboard to extract analysis results of a desired content.
A method of processing a mobile social network service system for processing location-based travel big data, comprising:
Receiving and storing location-based travel information from at least one traveler terminal;
Providing route map information on the travel place to the traveler terminal, mapping the travel information to the route map information, and storing the travel route information;
When the evaluation information for the travel information is registered from any one of the plurality of member terminals, generating and storing the travel big data by collecting the travel information, the route map information, and the evaluation information in real time;
Classifying and analyzing the travel big data by various categories according to the contents of the travel information and the evaluation information;
Receiving the travel information and the keyword included in the evaluation information from the member terminal and searching for the travel big data;
Setting a dashboard to extract and provide desired analysis results from the travel big data for each category;
And providing analysis results of the travel big data analyzed and visualized according to the set dashboard.
8. The method of claim 7,
The step of registering the travel information comprises:
Receiving membership information about the user of the tourist terminal and the member terminal and registering the member as a member;
Transmitting the route map information to the traveler terminal so that a user of the traveler terminal sets a travel route traveling;
And receiving and storing and registering the travel information for the specific place selected from the traveler terminal when a specific place is selected from the route map information set from the traveler terminal Processing method.
8. The method of claim 7,
The step of registering the evaluation information comprises:
Searching for the travel information by using the natural language search function to confirm travel information desired by the user of the member terminal;
Providing the travel information according to a search result to the member terminal;
Determining whether the evaluation information on the travel information is registered from the member terminals, and when the evaluation information is registered, collecting and storing the evaluation information in the travel big data in real time;
Determining whether to share the travel information and the evaluation information with the other member terminals from the member terminal, and processing the travel information and the evaluation information to be mutually shared among the other member terminals A method of processing a mobile social network service system.
8. The method of claim 7,
The step of generating the travel big data comprises:
Collecting the travel information, the route map information, and the evaluation information in real time for each category;
Automatically recognizing keywords included in the travel information and the contents of the evaluation information;
And sorting the travel big data by category and storing the travel big data.
8. The method of claim 7,
The step of analyzing the travel big data comprises:
Establishing an analysis model for deriving a preference or recommendation result for the travel information from the travel big data classified by the category;
Automatically classifying the analysis data corresponding to the established analysis model by the category;
And extracting the analysis data for each category suitable for the set dashboard.
12. The method according to any one of claims 7 to 11,
The step of registering the travel information comprises:
Receiving sensing information about a travel location from a sensor unit of the traveler terminal, and registering the sensing information by including the sensing information in the travel information.

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