KR20080096614A - Method and apparatus for providing context-aware service - Google Patents

Abstract

A method and an apparatus for providing a context-aware service are provided to process a lot of context-information in the ubiquitous computing environment as well as being applied to various environments, and systematically manage the context-information based on the fact and rules. A context-aware system comprises a context information providing unit(100), a middleware(200) and a service providing unit(300). The context information providing unit is a PDA to which an RFID reader is attached or a separate sensor unit for sensing context information(for example, location information) of user. RFID tags are attached to each device of the service providing unit and each space consisting of the ubiquitous system. The mobile RFID reader attached to a PDA of the user senses an RFID tag attached to the device or spaces at a specific position, and then reads the UID of the RFID tag to generate information on the peripheral status of the user. The context information providing unit transmits the RFID tag data read from the RFID reader of the PDA and basic information about the user of the PDA to the middleware through the TCP/IP protocol.

Description

Method and apparatus for providing context-aware service

1 is a conceptual diagram of a context awareness system including a context awareness service providing apparatus according to the present invention;

2 is a conceptual diagram of the middleware of FIG. 1;

3 is a module configuration diagram of the middleware of FIG.

4 is an exemplary diagram illustrating a user interface for querying template information according to the present invention;

5 is a partial view of a part of the template of the inference engine JESS according to the present invention;

6 is an exemplary diagram illustrating a user interface for querying fact information according to the present invention;

7 is a partial partial view of the fact of the inference engine JESS according to the present invention;

8 is an exemplary diagram illustrating a user interface for querying rule information according to the present invention;

9 is a partial partial view of the rule of the inference engine JESS according to the present invention;

10a to 10d are exemplary views showing the inference result by the fact information and the rule information according to the present invention;

11 is a flowchart illustrating a context awareness service providing method according to the present invention.

<Explanation of symbols for the main parts of the drawings>

100: context information provider 200: middleware

210: context information recognition unit 220: service inference unit

230: service provider 300: service provider

The present invention relates to a method and apparatus for providing a context aware service. More particularly, the present invention can be applied to various environments, can process numerous contextual information of a ubiquitous computing environment, and can systematically manage contextual information based on facts and rules. In addition, the present invention relates to a method and apparatus for providing context aware service capable of inferring optimal intelligent service information.

Ubiquitious is a Latin word meaning 'anywhere, anytime', and a ubiquitous computing environment means a computing environment that allows users to use devices connected to the Internet spatially without restriction of communication speed anytime, anywhere. to be. This ubiquitous computing environment is one step further than the existing home network or mobile computing.

An example of a ubiquitous computing environment is to add computing capabilities to all physical spaces and objects associated with roads, bridges, tunnels, buildings, building walls, etc. to intelligentize those objects and objects and connect them to the Internet so that they can communicate with each other. It can be mentioned.

Context-aware system, a basic technology of ubiquitous computing, effectively shares various environmental information collected by sensors and computers in various places of daily life in order to provide services that users need. It requires situational awareness processing techniques to find out.

Currently, situation-aware technology is being actively researched at various universities and companies research institutes at home and abroad, but most of these studies focus on the recognition and expression of the situation, and research on the middleware is insignificant in providing services to users. .

In addition, if a user defines a certain space to act as a regular home, a method for effectively providing a ubiquitous home service is needed, and various services existing in the external Internet can be used in an internal home such as a home, a car, or a small office. Although research on OSGi (Open Service Gateway Initiative) has been conducted as a standard middleware specification for use in a network, there is a lack of research in terms of middleware for effectively providing a context awareness service in a home.

In the foreign countries that started the situation-related research before the domestic, studies on the situation analysis and processing technology and the situation-aware middleware have been conducted.

Situational awareness services include EasyLiving research, which was prototyped at a Microsoft research institute in the United States. In this study, we studied the world model system based on ubiquitous computing based on SQL DBMS that stores information about geometric models and objects that can represent the positional relationship of people and objects in buildings and indoors. For example, is disclosed at http://www.research.microsoft.com/easyliving).

In addition, the Oxygen Project, which is underway at the MIT Computer Science Lab in the United States, conducted a study on human-centered computer environments where computers are enriched with oxygen and penetrate into our environment itself (http://www.oxygen.mit In CMU's Aura project, the most important resources for a computer system are not processors, memory, disks, or networks, but rather a human-focused, pervasive computing environment under the vision of human concentration. The main goal was to construct a computing environment that could work without decentralization (which is described at http://www.cisco.com/warp/public/3/uk/ihome).

Research related to context-aware middleware is Context-toolkit, the starting point of context-aware middleware. The characteristic of this middleware is the structure that expresses and integrates the context information obtained from the sensor and provides it to the application, and suggests that three components, aggregators, widgets, and interpreters, can process the inferred context information. No method is provided (as described in AK Dey, GD Abowd, "The Context Toolkit: Aiding the Development of Context-Aware Application," Human Factors in Computing Systems, pp. 434-441. 1999).

CAMUS (Context-Aware Middleware for Ubiquitous computing System) is middleware developed to support situation porting. The main feature of this CAMUS is to propose an ontology-based framework to reuse and share formal knowledge with other systems (see A. Shehzad, HQ Ngo, KAPham, SY Lee, "Formal Modeling in Context-Ares Systems, "KI-04 Workshop, 2004).

As shown in Table 1, the conventional context aware middleware includes architecture, sensing, context model, context processing, resource discovery, and historical context data. , Security and privacy, etc. (as described in Mattias Baldauf, Schahram Dustdar, (30 November 2004) "A Survey on Context-Aware Systems").

Table 1.

Architecture Sensing Context model Context processing Resource discovery Historical context data Security and privacy CASS centralized middleware sensor nodes relational data model inference engine and knowledge base n.a. available n.a. CoBra agent based context acquisition module ontologies (OWL) inference engine and knowledge base n.a. available Rei policy language Context Management Framework blackboard based resource servers ontologies (RDF) context recognition service resource servers + subscription mechanism n.a. n.a. Context Toolkit widget based context widgets attribute- value tuples context interpretation and aggregation discoverer component available context ownership CORTEX sentient object model context component framework relational data model service discovery framework resource management component framework available n.a. Gaia MVC (extended) context providers 4-ary predicates (DAML + OIL) context- service module (first-order logic) discovery service available supported (e.g., secure tracking, location privacy, access control) Hydrogen three layered architecture adapters for various context types object- oriented interpretation and aggregation of raw data only n.a. n.a. n.a. SOCAM distributed with centralized server context providers ontologies (OWL) context reasoning engine service locating service available n.a.

Looking at the conventional middleware, first, it has been researched to be able to sense only in a specific environment. This is because most situation-aware middlewares have been proposed as independent structures. The most flexible way of collecting context is the context server architecture, but this may cause a waste of computing resources along the way. In contrast, the middleware internal structure is uniformly limited in its own way of collecting context. Therefore, a need arises for implementing an interface using these two structures as appropriate.

Second, the existing middleware used the ontology model as a context expression method. This is because the ontology can not only define concepts and relationships for certain information, but it is also very easy to handle new contexts using inferential functions based on rules. However, ontology-based technologies require high performance hardware. Therefore, even in low-performance hardware, efficient situation information management and inference are possible, and a mechanism that can handle numerous contexts in a ubiquitous environment is required.

Third, the existing context-aware middleware research focuses on the efficient management of contextual information, and does not present a model with inference.

The present invention has been made to improve the above problems, can be applied to a variety of environments, can process a large number of context information of the ubiquitous computing environment, not only systematic situation information management by the facts and rules, but also intelligent It is an object of the present invention to provide a method and apparatus for providing a context-aware service capable of inferring service information.

However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a method of providing a context recognition service, including: establishing user pattern information and device information in advance; Recognizing contextual information about the user and its surroundings; Storing the recognized situation information; Inferring optimal service information based on the stored context information, the pre-built user pattern information, and the device information; And controlling the corresponding device based on the inferred optimal service information.

In order to achieve the above object, a situation recognition service providing apparatus according to an embodiment of the present invention, a situation information recognition unit for recognizing the situation information about the user and its surroundings input from the outside; It has a database in which user pattern information and device information are stored, and stores context information recognized through the context information recognition unit in the database, and optimal service information based on the context information stored in the database and the user pattern information and device information. Service inference unit to infer the; And a service provider for controlling the corresponding device based on the optimal service information inferred through the service inference unit.

Specific details of other embodiments are included in the detailed description and drawings, and the advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings.

However, the present invention is not limited to the embodiments disclosed below, but may be embodied in various different forms, and the present embodiments merely make the disclosure of the present invention complete and common knowledge in the technical field to which the present invention belongs. It is provided to fully inform the person having the scope of the invention, which is defined only by the scope of the claims. Like reference numerals refer to like elements throughout.

Hereinafter, a method and apparatus for providing a context awareness service according to an exemplary embodiment of the present invention will be described with reference to the accompanying block diagram or the drawings of the processing flowchart.

At this point, it will be understood that each block of the flowchart illustrations and combinations of flowchart illustrations may be performed by computer program instructions.

Since these computer program instructions may be mounted on a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, those instructions executed through the processor of the computer or other programmable data processing equipment may be described in flow chart block (s). It creates a means to perform the functions.

These computer program instructions may be stored in a computer usable or computer readable memory that can be directed to a computer or other programmable data processing equipment to implement functionality in a particular manner, and thus the computer usable or computer readable memory. It is also possible for the instructions stored in to produce an article of manufacture containing instruction means for performing the functions described in the flowchart block (s). Computer program instructions It is also possible to mount on a computer or other programmable data processing equipment, so that a series of operating steps are performed on the computer or other programmable data processing equipment to create a computer-implemented process to produce a computer or other programmable data processing equipment. Instructions that perform may also provide steps for performing the functions described in the flowchart block (s).

In addition, each block may represent a portion of a module, segment, or code that includes one or more executable instructions for executing a specified logical function (s). It should also be noted that in some alternative implementations, the functions noted in the blocks may occur out of order. For example, the two blocks shown in succession may in fact be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending on the corresponding function.

Prior to the description, the meaning of terms used in the present specification will be briefly described. However, it is to be noted that the description of the terms is to aid the understanding of the present specification and is not intended to limit the technical spirit of the present invention unless explicitly stated that the present invention is limited.

<Context>

The essential definition of a situation can be defined as "information that characterizes the state of an entity in the real world," where an entity means a human, a place, or an interaction between a person and a service. This definition can facilitate the deployment of situations for a given application service scenario at development time. If this information interacts to characterize the participant's situation, the information can be regarded as a situation. An example of a basic context aware application is indoor mobile guidance. In this example, we can use two kinds of information: 'weather' and 'other's', where 'weather' is lowly correlated with the interior, while 'other's' Characterize your surroundings. If a user tours indoors with others, the places they visit will be of particular interest to others. Thus, 'the existence of another person' can be a situation.

There may be various types of such situations, but general situation information may be classified as follows.

User situation

-Physical environment

Computing System Situation

-User-computer interaction history

-Other Unclassified Situation

Applying this generalized situation classification to the digital home environment enables detailed situation classification as follows.

User situation

Identity Status (ID, Name)

Body condition (pulse, blood pressure, body temperature, voice)

Physical environmental situation

Space situation (position, direction, speed)

-Time situation (date, time, season)

Environmental conditions (temperature, humidity, light intensity, noise)

Activity status (neighborhood, behavior, schedule)

Computing System Situation

Available resources (battery, display, internet, system)

Availability (resources, equipment, facilities)

Access situation (user, allowable information, proximity)

-User-computer interaction history

History (user, service, time)

Fault situation (time-user-service)

Other unclassified situations

1 is a conceptual diagram of a context awareness system including a context awareness service providing apparatus according to the present invention, and FIG. 2 is a conceptual diagram of the middleware of FIG. 1.

The context awareness system is an intelligent system that is adjusted to the level desired by the user according to the situation of the user based on the information input by the user and the surrounding contextual information recognized in various ways to provide an optimal service.

The illustrated situation recognition system includes a situation information providing unit 100, a middleware 200, and a service providing device unit 300.

The contextual information providing unit 100 is, for example, possessed by a user, and is a PDA (Personal Digital Assistant) with a mobile RFID reader. Of course, the contextual information providing unit 100 may be separate sensor equipment for sensing contextual information (eg, location information) of the user.

Each device of the service providing device 300 is attached with a Radio Frequency IDentification (RFID) tag. Of course, the RFID may be attached to each space constituting the ubiquitous system in addition to the device.

Accordingly, the mobile RFID reader attached to the user's PDA detects the RFID tag of the device or the space at a specific location and reads the UID of the tag, thereby generating information about the surrounding situation of the user.

The context information providing unit 100 transmits RFID tag data read from the RFID reader of the PDA and basic user information of the PDA to the middleware 200 through the TCP / IP protocol.

Hereinafter, for convenience of description, information transmitted to the middleware 200 through the context information providing unit 100 will be referred to as 'situation information'.

Here, the status information is managed in the form of 5W1H (Who, What, Where, When, Why, How).

The following is an example of the situation information and contents of the 5W1H type.

Table 2. Situation Information Types

Who Dad Mom son when From 0 to 24 where entrance Livingroom Inner room Dad's library Son room kitchen bathroom what door lock Boiler TV air conditioner fan audio laptop computer how Turn on Turn off Open Why High temperature Low temperature

Table 3. Situation Information Content

division Contents Who PDA user information with an RFID reader that reads tag information attached to the device When Time information for PDA users using each device Where Information regarding where the PDA user is using the device What Information regarding which device a PDA user uses How Information about how to do the device based on the information set in the situation Why Information about how the device is handled due to what situations when managing the device based on information that changes in real time

As described above, each member of the family who corresponds to who is living in the ubiquitous system space 24 hours a day corresponding to when, and at what location in the model house corresponding to where The devices are controlled by the 'how' and 'why' information, which is serviced by preconfigured virtual context scenarios.

The middleware 200 may provide optimal service information based on the context information recognizer 210 that recognizes context information input through the context information provider 100, and the context information recognized by the context information recognizer 210. The service inference unit 220 to infer a, and the service provider 230 for controlling the corresponding device of the service providing device unit 300 based on the optimal service information inferred by the service inference unit 220.

As illustrated in FIG. 2, the context information recognizing unit 210 may include an interface unit 212 for receiving context information and a context collector 214 for collecting context information input through the interface unit 212. And a situation recognition processor 216 for recognizing the situation information collected through the situation collector 214. Here, the interface unit 212 may be applied to HTTP, Socket and the like.

Accordingly, the situation information recognition unit 210 may collect and recognize the situation information transmitted through the interface unit 212.

The service inference unit 220 uses template, fact, and rule information so that the context information recognized by the context information recognizer 210 can be used in a Java Expert System Shell (JESS) that is an inference engine. In the form of knowledge database 228. By using the logic-based model using the fact information and the rule information in this way, it is possible to more efficiently manage the context information processed in the context awareness middleware 200.

The knowledge database 228 stores all information related to the context recognition service, such as user authentication information, user pattern information, device information, and context information recognized by the context information recognizer 210. By constructing such a knowledge database 228, information can be easily added, modified, or deleted, and more convenient management is possible.

The service inference unit 220 infers optimal service information based on user authentication information, user pattern information, device information, and context information input by the context information recognizer 210 stored in the knowledge database 228. Output to the providing unit 230.

At this time, the JESS engine, which is an inductive reasoning engine, proceeds with the reasoning in the working memory.

The JESS management module 224 of FIG. 2 (corresponding to the ubHome User Interface of FIG. 1) is a kind of middleware 200 management tool capable of managing the entire processing of the middleware 200, and is a rich client platform. Is implemented based on

The service provider 230 transmits a command argument to a corresponding device of the service providing device 300 based on the optimal service information output from the service inference unit 220 to provide a situation recognition service to the user.

In this case, the service provider 230 may control the device through a communication interface such as socket, RMI, HTTP, SOAP, and the like, and may be extended to application services in various environments.

In addition, the service provider 230 makes the protocol management program independent to facilitate the addition of various devices to the ubiquitous environment, so that the application and non-application processing can be smoothly applied to the middleware 200.

Here, the situation information recognizer 210, the service inference unit 220, and the service provider 230 are in the form of a thread of Java that is executed alone in the middleware 200, and each part is It runs alone and works in conjunction with each other.

3 is a module configuration diagram of the middleware 200 of FIG. 1.

As shown, the middleware 200 includes a context information interface management module 410, a context information processing module 420, a DB management module 430, a context awareness management module 440, and an application management module. 450, an event management module 460, an application interface management module 470, and a thread management module 480.

The context information interface management module 410 manages information collected from a sensor or RFID of each device connected through a ubiquitous sensor network (USN) and a power line communication (PLC), and efficiently manages a profile and a protocol of the sensor (or RFID). You can control additional sensors by managing them.

The contextual information processing module 420 enables the middleware 200 to process the information collected by the contextual information interface management module 410 in various forms.

The DB management module 430 may provide information in various forms based on the connection information of the knowledge database 228 for situational awareness processing, and to prevent data loss due to a system stoppage or the like. Manage your backups.

The context aware management module 440 is a core module of the context aware middleware 200 to manage context information and infer optimal service information based on an inference engine.

Here, it is a matter of course that the inference engine based on fact information and rule information as well as the JESS engine can be applied to the present invention by making the structure of the context aware management module 440 independent.

The application management module 450 and the event management module 460 manage application services provided to a user based on inferred service information.

The application interface management module 470 enables the application service information provided to the user to be substantially provided by various communication interfaces, thereby extending to various environments.

Meanwhile, the thread status information recognition unit 210, the service inference unit 220, and the service provider 230 may be executed alone, and the interworking may be driven by an interface of the middleware 200. 480 manages such an interface and a processing log of each thread.

The overall middleware configuration with these modules is a common framework, facilitating system scalability.

4 is a screen for inquiring the template details of the JESS, Figure 5 is an exemplary view showing a part of the JESS template associated with the TV device according to the execution scenario.

The template information is largely divided into device template information, user template information, and situation management template information for managing current situation information.

4 and 5, by using a template management technology of the JESS, a large amount of situation information, that is, fact information and rule information is divided into a more clear field form instead of a general string form and systematically managed to quickly and accurate inference You can do it.

FIG. 6 is a screen for inquiring fact details, and FIG. 7 is a view showing a part of fact details related to a TV device of JESS that is actually modeled and constructed.

Pressing the fact tab of FIG. 6 shows the fact information of the JESS stored in the knowledge database 228. In the same way as template information management, you can search the fact information processed in real time by linking with JESS.

The fact information is divided into device fact information and user fact information related to the user, like the template information, and all situations of the scenario of the present invention are modeled as fact information.

According to the present invention, the user's pattern of using the device is subdivided into the space in which the user lives, the time of use, the method of use, and the like. Model and build fact information to provide the best service for each user in various situations such as when it is available, so that intelligent service can be optimally provided for each user in various places at changing times.

FIG. 8 is a screen for inquiring rule details, and FIG. 9 is a diagram showing part of information related to a TV device service as rule details of a JESS.

Pressing the rules tab of Figure 8 shows the rule information of the JESS stored in the knowledge database (228). Similar to the template information management, it can be linked with JESS to inquire rule information processed in real time.

Such rule information may include, for example, on / off of electronic appliances placed in a virtual model house, additional control information based on a remote controller, air conditioners and fans related to temperature, and door locks at entrances requiring user authentication code information. It is designed to recognize and service the current specific situation without separate control.

In addition, in providing services, fact information is designed to provide the optimal service suitable for each user according to various situations, such as when each user is in the same space at the same time or in a different space at the same time. It can provide intelligent service by processing by existing rule information.

10A is a processing log of middleware 200 that provides context-based services through inference when the dad enters the living room at 22:00, and FIG. 10B is a context-aware service through reasoning when the dad enters the library at 23:00. 10C is a processing log of the middleware 200 which provides a, and FIG. 10C is a processing log of the middleware 200 which provides context-aware services through inference when the mother enters the living room at 12 o'clock, and FIG. When entering the living room, the processing log of middleware that provides context-based services through inference.

11 is a flowchart illustrating a context awareness service providing method according to the present invention.

First, when the user's unique information of the PDA owned by the family member and the information on the surrounding situation are transmitted to the middleware 200 (S10), the user authentication is compared with the user information registered in the user table of the knowledge database 228. Process (S12). Once the process for the authentication process is completed successfully, the service is available.

Then, the situation information (for example, the user's service usage time, the user's location information, etc.) collected and transmitted to the middleware 200 is firstly arranged, and the information is used as template information for use in JESS, which is an inductive reasoning engine. It is stored in the knowledge database 228 in the form of fact information and rule information (S14).

The inference engine, JESS, reads the current situation information (template, fact, rule information) stored in the knowledge database 228, and outputs service information suitable for the user based on the user pattern information and device information previously built (S16). .

The output service information is transferred to the ubiquitous home PLC-based device manager and the USN-based device manager to control the corresponding device (S18).

With reference to the drawings exemplified as above, the situation recognition service providing method and apparatus according to the present invention have been described, but the present invention is not limited to the embodiments and drawings disclosed herein, the technical scope of the invention Of course, various modifications can be made by those skilled in the art.

As described above, according to the method and apparatus for providing context awareness service according to the present invention, there are one or more of the following effects.

First, it can be applied to various environments, it can process numerous situation information of ubiquitous computing environment, it is possible not only to systematically manage situation information by facts and rules, but also to infer optimal intelligent service information.

Second, it can provide various services other than intelligent home service, and it is easy to expand the system by designing the overall middleware configuration into a common framework and designing various interfaces to support various devices.

Third, the middleware can be operated independently of the platform using RCP, so that it can be applied to various environments.Based on the RCP UI-based middleware design and service reasoning manager function, users and administrators can easily manage the context awareness service system. can do.

Fourth, new situations can be flexibly applied to existing rules, providing a wider range of services.

Claims (20)

Building user pattern information and device information in advance; Recognizing contextual information about the user and its surroundings; Storing the recognized situation information; Inferring optimal service information based on the stored context information, the pre-built user pattern information, and the device information; And And controlling a corresponding device based on the inferred optimal service information. The method of claim 1, And determining whether the user authenticates to use the service. The method of claim 2, Determining whether or not the authentication, Comparing the user unique information transmitted from the outside with pre-stored user unique information to determine whether or not there is a match; And And, if the match is found, permitting the use of the service if it matches, and disallowing the use of the service if it does not match. The method of claim 1, The contextual information may include at least one of a service usage time of the user and location information of the user. The method of claim 1, And the user pattern information includes at least one of a place where a user exists, a use time of the device, a method of using the device, and a reason for using the device. The method of claim 1, The storing step, And storing the contextual information in a database in the form of template information, fact information, and rule information. The method of claim 6, And reading out the fact information stored in the database and providing the same to a user according to the inquiry command of the fact information. The method of claim 6, And reading out the rule information stored in the database and providing the rule information stored in the database to the user according to the inquiry command of the rule information. The method of claim 1, The deducing step, A method of providing a context awareness service comprising inductively inferring by a Java Expert System Shell (JESS). The method of claim 1, The controlling step, And providing service information of the reasoning step to a management program of the device. The method of claim 10, The delivering step, And delivering the service information of the inference step to at least one of a device management program based on a ubiquitous home (PLC) based device management program and a USN (Ubiquitous Sensor Network) based device management program. The method of claim 1, The controlling step, Method of providing a context-aware service comprising the step of controlling through at least one of Socket, RMI, HTTP, SOAP communication interface. The method of claim 10, The controlling step, Method of providing a context-aware service comprising the step of controlling through at least one of Socket, RMI, HTTP, SOAP communication interface. A situation information recognizing unit recognizing situation information about a user and its surroundings input from the outside; It has a database in which user pattern information and device information are stored, and stores context information recognized through the context information recognition unit in the database, and optimal service information based on the context information stored in the database and the user pattern information and device information. Service inference unit to infer the; And And a service provider for controlling the corresponding device based on the optimal service information inferred by the service inference unit. The method of claim 14, The situation information recognition unit, An interface unit for receiving the situation information; A situation collecting unit for collecting situation information input through the interface unit; And And a situation recognition processor configured to recognize context information collected through the situation collector. The method of claim 15, And the interface unit includes any one of HTTP and socket. The method of claim 14, The service inference unit, And context information recognized by the context information recognizing unit in the database in the form of template information, fact information and rule information. The method of claim 14, And the service providing unit transmits a control command of the device through at least one communication interface of socket, RMI, HTTP, and SOAP. The method of claim 14, The situation information recognizing unit, the service inference unit, and the service providing unit is a situation recognition service providing apparatus in the form of a thread of Java. The method of claim 14, The database further stores user-specific information, The service inference unit compares user's unique information transmitted from the outside with user's unique information stored in the database, and determines whether or not to match. .

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