KR20110130602A - Method and real-time support system for purchasing activities based on ambient service - Google Patents

Method and real-time support system for purchasing activities based on ambient service Download PDF

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KR20110130602A
KR20110130602A KR1020100050003A KR20100050003A KR20110130602A KR 20110130602 A KR20110130602 A KR 20110130602A KR 1020100050003 A KR1020100050003 A KR 1020100050003A KR 20100050003 A KR20100050003 A KR 20100050003A KR 20110130602 A KR20110130602 A KR 20110130602A
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information
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purchase
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store
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권용진
서경석
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한국항공대학교산학협력단
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

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Abstract

PURPOSE: A system for supporting a real time purchase activities based on ambient service is provided to intuitionally recognize information through the location information of stores which is hierarchically displayed on a map. CONSTITUTION: An information structuralizing unit(100) structuralizes the collected separated store information. Based on the situation of a user, an ambient query generator(200) generates the ambient query in reel life space. An ambient query providing unit(300) extracts the structuralized purchase information and related store information through the location information of a user and a recognized store information. The ambient information providing unit provides the extracted purchase related stored information in hierarchical structure.

Description

Ambient service-based real-time purchasing activity support system and method thereof {Method and Real-Time Support System for Purchasing Activities Based on Ambient Service}

The present invention relates to real-time purchase activity support based on an ambient service, and more specifically, based on an ambient service that allows a user to efficiently obtain location information of purchase-related stores in an intuitive form without a complicated search process. The present invention relates to a real-time purchasing activity support system and method thereof.

Users who want to purchase a product in a real life space make a purchase by comparing and analyzing the design, function, and price of the product. To do this, you usually visit several stores. At this time, "move-> store visit-> product information collection-> move (non-purchase)" process is repeated. If the user does not know the surrounding information, such as what stores are around, the user will wander around the shopping street and the unnecessary "move" process will increase, making the purchase activity very laborious.

Alternatively, you can use Google Maps, Yahoo! Maps, Naver Maps, Daum Map Services, etc. to intuitively obtain the location information of these stores, without having to get lost. You can go directly to the shop.

However, existing services only provide location information of shops to be searched without considering the purchase side.

For example, a consumer often wants to purchase not only a desired product but also products related to the product. For example, a situation where a consumer who purchases shoes tries to purchase clothes or a bag that matches the shoes can be easily expected. At this time, the existing services do not effectively support the user in the above purchase activity situation. If there is a service that provides location information of nearby stores selling these related products, the consumer can visit the stores without wandering around without searching for additional related stores.

Such a service can support a consumer's purchasing activity even if the consumer has not clearly determined the relevant product to purchase. There may be shops selling various kinds of related products around the consumer, but in general, consumers do not know this and vaguely consider related products to the extent that they can think. Therefore, such a service expands the purchase of consumers and enables efficient purchasing activities.

Accordingly, the present invention is proposed to solve the limited service generated in the existing methods for providing location information, and to provide more efficient purchase activity information to the user,

An object of the present invention is to provide a real-time purchase activity support system and method based on an ambient service that enables a user to efficiently obtain location information of related stores in an intuitive form without a complicated search process.

Another problem to be solved by the present invention, the stores that sell the products that the user wants, and stores that sell products related to the related products to the related stores, by providing such related shop information efficiently the user's purchasing activity in real time It is to provide a real-time purchase activity support system and method based on the supported ambient services.

"Ambient service based real-time purchasing activity support system" according to the present invention for solving the above problems,

An information structuring unit for automatically collecting individual store information from the web and grouping and structuring the collected individual store information based on purchase relevance;

An ambient query generator for generating an ambient query based on a user's situation in a real life space;

And an ambient information providing unit for extracting the related store information and the structured purchase information through the generated store information and the user's location information, and providing the extracted purchase related store information in a hierarchical structure.

In the above, the information structuring unit,

It includes an individual store information collector for collecting and storing individual store information on the web.

Here, individual store information,

It includes a unique number that uniquely identifies each store, store name, homepage, address, phone number, categorized category, additional information, and the latitude and longitude coordinates of the store.

In addition, the information structuring unit,

The apparatus may further include an individual store information structurer that provides structured purchase information by organizing database-related individual store information into purchase relevance.

The individual store information structurer,

Grouping similar shops by industry based on individual business category categories, and grouping individual shop information vertically and horizontally to form structured purchasing information.

The ambient query generator,

Acquiring the location information of the user by grasping the shop information that the user pays attention, generating the acquired shop information and the location information by an ambient query, and displaying the purchase information provided by the ambient information provider on a map interface. Characterized in that it is a portable terminal.

The mobile terminal,

A store recognizer for recognizing store information that the user pays attention by recognizing the store with a built-in sensor;

It includes a location information extractor for obtaining the current location information of the user by using the built-in GPS module.

The ambient information providing unit,

A recognition store information processor for extracting related store information and corresponding structured purchase information through store information recognized through an ambient query;

Re-extract only the structured purchase information existing around the user from the extracted structured purchase information through the location information, and provide the position query and the structured purchase information corresponding to the re-extracted structured purchase information to the ambient query generator. It characterized in that it comprises a location information processor.

"Ambient service based real-time purchasing activity support method" according to the present invention for solving the above problems,

Store information automatically collected from the web is grouped and structured in consideration of purchasing aspects, and structured purchase-related store information is hierarchically structured on a user's mobile terminal using an automatically generated ambient query based on the user's situation. It is characterized by displaying.

Displaying in a hierarchical form is a structured information space that automatically collects individual store information from the web, grouped and structured on the basis of purchase relevance, a real life space where a user's purchasing activity is performed, and a user is generated. It is characterized by displaying three hierarchical structures, such as an ambient information space, which obtains structured purchase-related store information in real time through a named ambient query.

According to the present invention, by searching for shop-related store information based on the user's situation, by providing hierarchically on the map, there is an advantage of minimizing the effort for obtaining the user's information.

In addition, according to the present invention, there is an advantage that the information can be intuitively recognized through the location information of the stores displayed hierarchically on the map.

In addition, according to the present invention, there is an advantage that it is possible to develop a service for providing information of related objects having a specific relation with respect to various objects existing in a real life space based on the proposed system and method.

1 is a conceptual diagram of an ambient service applied to the present invention.
2 is an overall configuration diagram of a real-time purchase activity support system based on an ambient service according to an embodiment of the present invention.
3 is a configuration diagram of an embodiment of FIG.
Figure 4 is an individual shop information database table according to the present invention.
5 is a hierarchical exemplary view of structured purchase information according to the present invention.
6 is a search explanatory diagram of structured purchase information according to the present invention;
7 is an exemplary view of a screen of a client program according to the present invention.
8 is an exemplary map based on user information search.

Hereinafter, described in detail with reference to the accompanying drawings a preferred embodiment of the present invention. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.

The ambient service system according to the present invention is a system proposed for the purpose of efficiently providing information of related stores to a user. In each space of the system, the information about existing stores is structured as purchase relevance, the relevant stores are extracted through a query that is automatically generated as a user's situation in the real life space, and the location information of the related stores is displayed on a map interface. The hierarchical presentation process takes place.

As shown in FIG. 1, the ambient service system is specifically defined as three layers of "structured (purchase related) information space, real life space, ambient information space".

The structured (purchase-related) information space is a space in which individual store information including location information is automatically collected from the web corresponding to an existing store, and the information is grouped and structured based on purchase relevance.

The real life space is a space where shops exist and is a space where direct purchase activities of users are performed. At this time, the query is automatically generated automatically through the movement or action of the user.

The ambient information space is a space in which the user acquires location information of related stores in real time. In this space, relevant store information and structured purchasing information are extracted through a query generated in the real life space. The location information of the extracted individual store information is displayed on a map interface, and the structured purchase information is provided in a hierarchical form of keywords.

If this is explained in more detail as follows.

2 is a configuration diagram of a real-time purchase activity support system based on an ambient service according to the present invention, and FIG. 3 is a detailed configuration diagram of FIG.

As shown in this figure, the information structuring unit 100 automatically collects individual store information from the web, and groups and structures the information based on purchase relevance, and an ambient generating an ambient query based on a user's situation in a real life space. Ambient that extracts relevant store information and structured purchase information through the query generation unit 200 and the shop information recognized through the generated ambient query and the user's location information, and provides the extracted purchase related shop information in a hierarchical structure. It consists of an information provider 300.

Here, the information structuring unit 100 collects individual store information on the web to form a database, and stores the individual store information collector 110 to construct the individual store information database 120, and the individualized store information stored in the database is structured in relation to purchase. Including a store information structurer 130 to build a structured purchasing information database 140.

In addition, the ambient query generation unit 200 obtains the location information of the user by grasping the store information that the user pays attention, generates the acquired store information and the location information as an ambient query, the ambient information provider It refers to a portable terminal carried by a user who displays provided purchase information on a map interface on a screen. Hereinafter, the portable terminal refers to the ambient query generator 200.

The mobile terminal 200, a store recognizer 210 for identifying the shop information that the user pays attention by recognizing the shop with a built-in sensor, and the location to obtain the current location information of the user using the built-in GPS module Communication and controller 230 to control the information extractor 220, to transmit the ambient query to the ambient information providing unit 300, and to display the purchase-related shop information transmitted from the ambient information providing unit 300 on the screen. ).

In addition, the ambient information providing unit 300, the recognition store information processor 310 for extracting the relevant store information and the corresponding structured purchase information through the store information recognized through the ambient query and the location information through the Re-extract only the structured purchase information existing around the user among the extracted structured purchase information, and provide location information and structured purchase information corresponding to the re-extracted structured purchase information to the ambient query generator 200. An information processor 320.

Referring to the detailed description of the real-time purchase activity support system and support method based on the ambient service according to the present invention configured as described above are as follows.

First, in order to build a set of individual store information in the individual store information collector 110 of the information structuring unit 100, including location information among numerous information scattered in a web information space and existing in a real life space. Collecting shop information to build a database to build an individual store information database (DB) (120).

Specifically, store information web pages including latitude and longitude coordinates are collected, and information about 750,000 stores are collected for all regions of the Republic of Korea. And if the category information for each industry category is included in the individual store information is extracted. This category is used to structure individual object information into purchase relevance.

Here, each item of the individual store information consists of a unique number, a store name, a homepage, an address, a phone number, a categorized category, additional information, and a latitude and longitude coordinate value of the store. The unique number is a unique value for each store. When a user recognizes a store using a mobile terminal, the unique number is used as an identifier for identifying each store. The individual store information database table is as shown in FIG.

The individual store information structurer 130 structures the collected and stored individual store information on the basis of purchase relevance. In the present invention, structured by using the industry-specific categories that can be used as the most basic form of purchase-related.

Specifically, similar stores are grouped by industry based on this industry category, and the industry is organized hierarchically. Through this, individual store information has purchase information structured vertically and horizontally, respectively. For example, "B shoe store" information has vertical and horizontally structured purchasing information such as "corporate, shopping> clothing, sundries, shoes" and "underwear, women's clothing".

This structured purchasing information is databased in the structured purchasing information database 140, which is structured as an OWL ontology file (Deborah L. McGuinness and Frank van Harmelen, 2004). As shown in FIG. 5, individual store information is stored in the DB 140, and extracted category keywords are stored in the KEY1, KEY2, and KEY3 columns in the table. Although only up to three layers are shown in FIG. 5, it is actually composed of five layers as shown in FIG. 4. The structured purchasing information ontology was constructed using this category keyword with hierarchical structure, and prote'ge '4.0 was used to create the OWL file (Matthew Horridge, 2009). The total number of keyword classes is 334, and the relationship between classes and subclasses is created in an "is a" relationship.

In fact, the construction of structured purchasing information can be processed on the DB without using the ontology. However, using structured purchase information is not simply an aspect of easily searching for location information of related stores using a category for a store. This is necessary to structure individual store information with various semantic relations and to provide users with information of related stores (Lee Jae-ho, 2003). In addition to the industry-specific hierarchical structure used in the present invention, there are various relations such as "relevance between stores that can receive discount services" and "relevance to visit patterns of users", which should be continuously structured. And for this, it is useful to use standardized ontology.

Next, the ambient query generator 200 uses the shop information viewed by the user and the user's location information as the ambient query.

The store information viewed by the user may be obtained by recognizing a tag attached to the store by the store recognizer 210 such as an RFID reader embedded in the user's terminal. Stores in the real-life space correspond to individual store information in the structured (purchase-related) information space, so that the user can identify the store simply by recognizing the tag attached to the store without complicated manipulation.

As a mobile terminal, a UMPC connected with an RFID reader and a GPS module can be used. For recognition of the shops, a commercial RFID tag and reader of 2.45 GHz with a maximum recognition distance of 15 m was used, and the tag is preferably attached to the entrance of each shop. The location information of the user is obtained through the location information extractor 220 using the GPS module.

In the client program operating on the UMPC, the shop ID and location information identified by the RFID reader are transmitted to the ambient information provider 300 as an ambient query, and the information is stored in the ambient information space and related structured purchase information. It is used to extract

In the ambient information space, the recognition store information processor 310 and the location information processor 320 of the ambient information providing unit 300 may retrieve relevant store information and structured purchase information from the purchase information space by using an ambient query generated by a user. Extract. The extracted location information of the related stores is displayed as a mark on a map interface, and the structured purchase information is provided in a hierarchical structure of keywords.

Specifically, the recognition store information processor 310 of the ambient information providing unit 300 implemented with JSP recognizes the store ID based on the ambient query information, and the individual corresponding to the store ID recognized by the location information processor 320. Find the store information and figure out which group the individual store information is grouped into. And it extracts other individual store information classified into the group. Next, the structured purchase information associated with the group is extracted from the ontology. For this, we use the open source jena API, which is widely used as an ontology inference engine (HP Laboratory, 2004). Among the extracted related store information and structured purchase information, only the information existing around the user is re-extracted using the location information of the user. Finally, the extracted location information of the related stores is displayed as a mark on the map, and the structured purchase information is provided to the ambient query generator 200 in a hierarchical structure of keywords.

The map may use a NAVER map provided by the NAVER portal site (NAVER Developer Center, 2010). Mark store information on this map using the Open API. This allows the user to intuitively know where and how many related stores are around. In addition, by moving, enlarging, and reducing the map, location information of related stores within a desired range can be obtained.

As shown in FIG. 6, the structured purchase information enables the user to know what kinds of related stores are around, and may select a hierarchically organized group to further acquire location information of various related stores. . The search using structured purchasing information is performed from the previous node in the opposite direction to the general directory search.

<Experimental Example>

The implemented real-time purchasing support system was tested in the Lafesta area of Ilsan, a specific shopping street in a specific real life space. The Lafesta area is a comprehensive shopping mall with up to 25m wide and 300m long shops.

The RFID tag was attached to the entrance of the store. In the case of dense shopping streets, the distance between each shop is about 7m, so it is efficient to use a tag with a relatively short recognition distance (Park Hyung-jun et al., 2005). However, if the recognition distance is too short, the user has to go to the front of the store, so an appropriate recognition distance must be determined. In the present invention, since it has a recognition distance of 15m, up to six shops can be searched in the Lafesta area using a tag. At this time, since the recognition distance of the tag of 15m is a distance that the user can identify the shops with eyes, the user can easily select even if several stores are recognized. This is judged to be more efficient than using a tag with a too short recognition distance. View the selected store as a store of interest to users and start searching for related stores.

The client program operating on the mobile terminal is composed of a part for recognizing a shop tag using an RFID reader, a part for obtaining user location information using a GPS module, and a part for displaying location information of shops based on a map. When a tag is attached to each shop and recognized using a terminal, the screen of the client program can be seen in FIG. 7. As soon as you recognize the shoe shop "Geumganghwa", you can get the corresponding shop information, and you can check the store name, homepage address and handling items. The location of other shoe stores nearby is displayed on the map. If you look at the information of the shoe store, the vertical structured purchase information of "Corporate, Shopping, Apparel, Fashion Accessories> Shoes> Brand> Geumgangjae" and "Shoes, Women's Clothing, Men's Clothing, Bags, Sports Clothing…" There is a structured purchasing information. If you select the keyword "clothing and fashion goods" which is the upper level of "shoes", you can see the stores classified as "clothing and fashion goods" existing near the user, and select the keyword "women's clothes" which is the same class of "shoes". You can search for women's clothing stores.

As such, the location information of the related stores is displayed on a map, so that the user can intuitively know where and how many of the related stores are located. In addition, the structured purchase information allows the user to know what related stores are around and can be searched by simply selecting a desired group.

The existing service similar to the implemented system is a location-based service using a map. Since the implemented system and the existing service use a map, they have the same effect in terms of intuitively recognizing the location information of stores.

Looking at the user's information search, as shown in Figure 8, the existing service mainly provides a representative category, such as restaurants, department stores, gas stations or movie theaters, and if selected to provide the corresponding surrounding information, or Provides surrounding information through text input. When trying to find a related store by category, the range is limited and fixed, so it is difficult to find various types of stores. In addition, keyword input is inconvenient because a user must generate a query directly.

On the contrary, the present invention can obtain location information of surrounding related shops by simply recognizing a shop by the user. That is, the user may acquire location information of related stores by using an ambient query that is naturally generated by the user's action without a process of inputting a keyword.

In addition, the purchase information structured based on the purchase relevance is not limited and fixed category provided by the existing service, but information transformed into a form suitable for the user's situation. Thus, the user can efficiently obtain the information of the related stores structured about the stores that exist nearby.

The present invention as described above, to provide a service to support the user making a purchase activity in the real-life space, to enable efficient purchase activities by obtaining the location information of the related stores through a minimum search process.

The present invention is not limited to the above-described specific preferred embodiments, and various modifications can be made by any person having ordinary skill in the art without departing from the gist of the present invention claimed in the claims. Of course, such changes will fall within the scope of the claims.

Claims (10)

In the system for supporting real-time purchasing activity based on the ambient service,
An information structuring unit for automatically collecting individual store information from the web and grouping and structuring the collected individual store information based on purchase relevance;
An ambient query generator for generating an ambient query based on a user's situation in a real life space;
And an ambient information providing unit for extracting the related store information and the structured purchase information through the recognized store information and the user's location information, and providing the extracted purchase related store information in a hierarchical structure. Ambient service based real-time purchasing activity support system.
The method of claim 1, wherein the information structure unit,
Ambient service based real-time purchase activity support system, characterized in that it comprises an individual store information collector to collect and store individual store information on the Web.
The method of claim 2, wherein the individual store information,
Support the real-time purchasing activity based on the ambient service, which includes a unique number that can uniquely represent each store, store name, homepage, address, telephone number, classified category, additional information, and latitude and longitude coordinate values of the store. system.
The method of claim 2, wherein the information structure unit,
Ambient service-based real-time purchase activity support system, characterized in that it further comprises a structured individual store information structured to provide structured purchase information by structured database of individual store information.
The method of claim 4, wherein the individual store information structurer,
Supports real-time purchasing activities based on ambient services, characterized by grouping similar shops by business type based on the category of each business category, and forming structured purchasing information by vertically and horizontally structuring the grouped individual shop information. system.
The method of claim 1, wherein the ambient query generator,
Acquiring the location information of the user by grasping the shop information that the user pays attention, generating the acquired shop information and the location information by an ambient query, and displaying the purchase information provided by the ambient information provider on a map interface. Ambient service based real-time purchase activity support system, characterized in that the portable terminal.
The mobile terminal of claim 6, wherein the portable terminal comprises:
A store recognizer for recognizing store information that the user pays attention by recognizing the store with a built-in sensor;
Ambient service based real-time purchase activity support system, characterized in that it comprises a location information extractor for obtaining the current location information of the user using the built-in GPS module.
The method of claim 1, wherein the ambient information providing unit,
A recognition store information processor for extracting related store information and corresponding structured purchase information through store information recognized through an ambient query;
Re-extract only the structured purchase information existing around the user from the extracted structured purchase information through the location information, and provide the position query and the structured purchase information corresponding to the re-extracted structured purchase information to the ambient query generator. Ambient service based real-time purchase activity support system, characterized in that it comprises a location information processor.
In the method for supporting real-time purchasing activity based on the ambient service,
Store information automatically collected from the web is grouped and structured in consideration of purchasing aspects, and structured purchase-related store information is hierarchically structured on a user's mobile terminal using an automatically generated ambient query based on the user's situation. Ambient service based real-time purchasing activity support method characterized in that it provides.
10. The method of claim 9, wherein the hierarchical display comprises: a structured information space in which individual store information is automatically collected from the web, grouped and structured based on purchase relevance, and a real life space in which a user's purchasing activity is performed. And three hierarchical structures, such as an ambient information space that obtains structured purchase-related store information in real time through an ambient query generated by a user.
KR1020100050003A 2010-05-28 2010-05-28 Method and real-time support system for purchasing activities based on ambient service KR20110130602A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015085224A1 (en) * 2013-12-05 2015-06-11 Google Inc. Determining merchant identity for received merchant identifiers
KR20180016661A (en) * 2016-08-04 2018-02-19 주식회사 스포카 Method for Executing Advertising Charges by Reverse Direction

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015085224A1 (en) * 2013-12-05 2015-06-11 Google Inc. Determining merchant identity for received merchant identifiers
KR20180016661A (en) * 2016-08-04 2018-02-19 주식회사 스포카 Method for Executing Advertising Charges by Reverse Direction

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