KR100707671B1 - Reasoning apparatus and method for context adaptive service in knowledge-based home network - Google Patents

Abstract

1. TECHNICAL FIELD OF THE INVENTION

The present invention relates to an inference apparatus and method for providing a context-based adaptive service based on a multi-home network environment.

2. The technical problem to be solved by the invention

The present invention provides a situation-adaptive service based on a user's profile, location, and behavior pattern in a home network system based on a ubiquitous environment, and creates a thread so that the service is processed in parallel. Its purpose is to provide an inference device and method for providing context-based adaptive services based on a multi-home network environment that manages all the services being processed through the created thread.

3. Summary of Solution to Invention

The present invention provides an inference apparatus for providing a context-based adaptive service based on a multi-home network environment. The present invention converts sensing information and service request information input from the outside into data in a form that can be processed (recognized) and then provides the inference engine. Query input means for inputting; Service management means for generating a thread so that a corresponding service is processed in parallel according to service request information input from the outside, and managing all services being processed through the generated thread; The inference engine for inferring a situation by extracting information accompanying the service provision according to the sensed data and the service request data from the query input means; A pattern matching means for inferring a context-adaptive service suitable for a user based on the information extracted from the inference engine and a rule corresponding thereto, and for managing information of the inferred context-adaptive service; Service checking means for checking whether the situation-adaptive service inferred by the pattern matching means collides with another service; And an output engine for outputting a service execution command as a result of the check in the service checking means, as the situation-adaptive service does not collide with another service.

4. Important uses of the invention

The present invention is used in a multi home network.

Multihomed Networks, Context-Adaptive Services, Inference, Threads, Conflicts

Description

Reasoning apparatus and method for providing context-adaptive service based on multi-home network environment {Reasoning apparatus and method for context adaptive service in knowledge-based home network}

1 is a configuration diagram of an inference apparatus for providing a user adaptive service in a conventional knowledge-based home network;

2 is a configuration diagram of an inference apparatus for providing a context-based adaptive service based on a multi-home network environment according to the present invention;

3 is a flowchart illustrating a method of providing a context adaptive service based on a multi-home network environment according to the present invention.

* Explanation of symbols for the main parts of the drawings

21: query input unit 22: service manager

23: inference engine 24: interface

25: pattern matching unit 26: service checker

27: output engine

The present invention relates to an inference apparatus and method for providing a context-based adaptive service based on a multi-home network environment, and more particularly, based on a user's profile, location, and behavior pattern in a home network system based on a ubiquitous environment. In providing a context-adaptive service, a reasoning apparatus for creating a context-based adaptive service based on a multi-home network environment that creates a thread so that the corresponding service is processed in parallel and manages all the services being processed through the created thread. And to a method thereof.

In the present invention, the terminal is a multi-home network system through wireless communication such as a mobile communication terminal, a personal communication service (PCS) terminal, a personal digital assistant (PDA), a smartphone, a next generation mobile communication (IMT-2000) terminal, a wireless LAN terminal, and the like. It includes a terminal that can be connected to.

Ubiquitous environment refers to an environment in which a user can freely access a network and receive various services regardless of a place without a computer or a network. In other words, ubiquitous refers to an environment in which information can be exchanged economically and conveniently at any time, anywhere, any device, and any device.

The home network that opens the ubiquitous era is based on wired / wireless communication networks such as mobile communication and high-speed internet, and various services regardless of device, time and place are connected to the home by A / V, data communication and information appliances. It is an environment in which a safe and smart automation service is provided because the entire home can be managed through a central home server. In addition, its purpose is to maximize the user's convenience by providing services through complex and knowledgeable interoperability with various user requests and environments.

As technology research for the development of home network is accelerating, in order to build a future-oriented home network, the physical space to which devices are connected in a simple form must be transformed into an intelligent ubiquitous environment, which is a more intelligent and adaptive computing environment. do. In order to implement such an intelligent environment, autonomous and diverse entities need to recognize and exchange common contexts, and context-aware technology to provide optimal services for a given situation. In other words, it should not be a passive environment that operates only by a user's direct service request, but an environment that can be provided with an 'Invisible Service' that provides services without the user's awareness.

In particular, the home network system based on the ubiquitous environment provides appropriate information in various input / output (Multimodal) methods according to the tastes, interests, and contexts of each user, and relates the interests and knowledges of each user. It can be expressed through ontology. In addition, by collecting, analyzing, processing, and processing information collected from sensors in the home, the voice, text, and graphics are reported, and based on such information, an adaptive user-oriented best service can be provided. In order to further advance such services, it is urgently required to develop a reasoner that can infer each event when an event occurs in a home network environment.

1 is a block diagram of an embodiment of an inference device for providing a service desired by a user based on a profile, a location, and a behavior pattern of a user in a home network system based on a conventional ubiquitous environment.

As shown in FIG. 1, a reasoning apparatus for providing a user adaptive service in a conventional knowledge-based home network includes a query input unit 11 for converting and transmitting an input query so as to be applied to inference. And a fact translator 12 for converting and storing associations between user profiles, appliances, and services into facts applicable to inference, and system rules for situation inference. Rule translator 13 for transforming and storing service rules for service provision and operation to be applied to inference, and inferring user commands and sensed data. Context Translator 14 for switching to Context that can be applied to the system, and real-time management by storing and updating the dynamic analysis on the analysis and fact of the query In addition, the reasoning engine 15 for constructing service facts individually for effective analysis management, the application of relevant rules to facts, facts and rules ( The pattern matcher 16 and the pattern matcher 16 to infer the context-adaptive service suitable for the user by inferring the relation between the rule and the result inference about the context. Accordingly, an execution engine 18 for executing the service.

In addition, the rule of the policy for the inferred result between the rules through the pattern matcher 16 (that is, the configuration and priority of the rules for managing the priorities of the various rules themselves and applying the same rules) It further includes a proposal module (Agenda) for applying a change and update process).

In the conventional inference apparatus, the "Rule-Based Engine" and the "Reasoning Engine" operate in one module, and manage the situation inference that meets the needs for the inference of the service and the assignment and application of priorities between the rules. It is developed based on service rule to infer from various information and derive result to provide basic system rule and practical intelligent service.

Therefore, the conventional inference device shows a limitation through processing speed and stability problem to consider various services and user mobility even for a service for a single user, and provides simultaneous services through the operation or efficient management of devices. Has a much more impossible problem.

In addition, the conventional inference apparatus has a problem that the user is not easy to store, delete, or manage the input data.

The present invention has been proposed to solve the above problems, and in providing a context-adaptive service based on a user's profile, location, and behavior pattern in a home network system based on a ubiquitous environment, the service is processed in parallel. It is an object of the present invention to provide a reasoning apparatus and method for providing a context-based adaptive service based on a multi-home network environment that creates a thread and manages all services being processed through the created thread.

Other objects and advantages of the present invention can be understood by the following description, and will be more clearly understood by the embodiments of the present invention. Also, it will be readily appreciated that the objects and advantages of the present invention may be realized by the means and combinations thereof indicated in the claims.

The apparatus of the present invention for achieving the above object is, in the inference device for providing a context-based adaptive service based on a multi-home network environment, a type capable of processing (recognizing) sensing information and service request information input from the outside; Query input means for converting the data into input to the inference engine; Service management means for generating a thread so that a corresponding service is processed in parallel according to service request information input from the outside, and managing all services being processed through the generated thread; The inference engine for inferring a situation by extracting information accompanying the service provision according to the sensed data and the service request data from the query input means; A pattern matching means for inferring a context-adaptive service suitable for a user based on information extracted from the inference engine and a rule corresponding thereto, and managing information of the inferred context-adaptive service; Service checking means for checking whether the situation-adaptive service inferred by the pattern matching means collides with another service; And an output engine for outputting a service execution command as a result of the inspection in the service inspection means, as the situation-adaptive service does not collide with another service.

On the other hand, the method of the present invention, in a multi-home network environment-based context adaptive service providing method, comprising the steps of: converting the sensing information and service request information from the outside into data in a form that can be processed (recognized); Creating a thread such that the service is parallelized according to service request information from the outside, and managing a service through the created thread; A situation inference step of inferring a situation by extracting information accompanying a corresponding service provision according to the converted sensed data and service request data; Inferring a context-adaptive service suitable for a user through pattern matching based on the extracted information and a corresponding rule, and managing information of the inferred context-adaptive service; Checking whether the inferred contextual adaptive service collides with another service; And outputting a service execution command as the situation-adaptive service does not collide with another service.

In addition, the present invention provides an inference function through a variety of policy, time, and contextual information based on users, services, environment information, and location for providing intelligent and customized services in a multi-home network.

In addition, the present invention provides an ontology for managing information of a complex concept of a user and environment, a service and a space-time, an inference engine for extracting and managing information based on the information, and a service and a system for redefining and inferring relationships. It infers the situation to make the user's customized service possible based on the rule that manages.

In addition, the present invention is to infer the situation based on the user's propensity, profile, and pattern so that each user can be provided with various services desired by the multi-home, multi-user extended application in the home network service, When providing a service by applying a policy such as priority between a user or service when requesting a new service or a service command, it prevents a conflict between the user and the service, and provides a service for a pattern according to a rule for situation inference according to a need. .

In addition, the present invention provides a necessary service according to the user's position coordinate or request based on the "Reasoning Engine" and "Rule-Based Engine" or provides the service based on the inference of time and spatial relationship according to the user's pattern. .

In addition, the present invention solves the service conflict through the policy setting, such as the complement of the "Rule-Based Engine" and "Reasoning Engine" and the priority between the user and the service for multi-home, multi-user service expansion, Infer the right situation.

In addition, the present invention can implement a diversified query to extract results according to various relationships from facts or data of ontology and infer correct information that is more suitable for a user.

In addition, the present invention can be flexibly implemented with rules and queries, thereby ensuring excellent scalability.

On the other hand, the present invention provides a "Query API" to query the information required for each user's profile and service with the ontology, and "" for transmitting the service status and the result of the availability of the result information for the service or the " Service API "is effective in deriving effective results and improving efficiency in service provision by implementing policies such as various rules and priorities between users and services.

That is, information about users, spaces, services, devices, policies, time, and various services is collected from the ontology and transfer of authority over users, services, device priorities and availability levels, security and policy levels, services and devices. And compare the policy rules related to the modification of authority and authority, and derive the result of the service.

This sequence of operations increases efficiency by increasing the speed of inference based on the expansion of queries and rules based on multithreaded management. Therefore, query on ontology needed in inference engine, extract rule information, compare rule and ontology information, update ontology, create query for query, formalize result through query, summary of information for external information transmission and Functions such as formalization are sequentially configured for ontology management, and threads are implemented for the parts that perform internal pattern matching, rule verification, and policy verification of queries or inference engines in parallel to process information more efficiently. do.

In addition, it minimizes and lightens the extraction of information from the ontology, which has been repeatedly performed in the rule for inference of the ontology. By storing information about ontology, the query engine gets a series of data to store and manage the formality of the query and the various results of the query.

In addition, in the extraction of ontology information, the system rule is implemented not to retrieve all the necessary information, but to systematically prevent the extraction of meaningless data through basic filtering. Increase By doing so, it expands the scope of service provision and provides efficient and simultaneous services compared to existing inference engines.

In summary, the present invention provides a user-specific inclination and profile for providing a suitable service according to the user input or sensor input, inference function considering the characteristics of the user, multi-threaded management and detailed management and monitoring of each device and service To enable dynamic implementation of services, organize queries and rules for inference, speed up queries by subdividing queries, and break rules into system, service, and policy rules. Effective reasoning for various services and requests for information through classification enables efficient reasoning and conflict prevention by applying various policies such as priority between users and services and security management of users. .

The above objects, features and advantages will become more apparent from the following detailed description taken in conjunction with the accompanying drawings, whereby those skilled in the art may easily implement the technical idea of the present invention. There will be. In addition, in describing the present invention, when it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

2 is a block diagram of an embodiment of an inference apparatus for providing a context adaptive service based on a multi-home network environment according to the present invention.

As shown in FIG. 2, the inference apparatus for providing a context-based adaptive service in a multi-home network environment according to the present invention is capable of processing (recognizing) sensing information and service request information input through an interfacing controller. The service according to the service request information input through the query API 21 and the interfacing controller for converting the data into the data (for example, stream data) and inputting the data into the inference engine 23. Create a thread to be processed in parallel, the service manager 22 for managing all the services being processed through the generated thread, the corresponding service according to the sensing data and service request data received from the query input unit 21 The inference engine 23 for extracting the information accompanying the offer to infer the situation, the information (data) extracted from the inference engine 23 Infers a context-adaptive service suitable for a user based on an interface 24 for properly matching turn matching, information extracted from the inference engine 23, and a rule corresponding thereto, and is adapted to the inferred user. A pattern matching unit 25 for managing information of a service, a service checker 26 for checking whether a situation-adaptive service inferred by the pattern matching unit 25 collides with another service, and the As a result of the check in the service checker 26, the situation-adaptive service includes an output engine 27 for outputting a service execution command as it does not collide with another service.

Here, the query input unit 21 is a transformer for converting sensing information and service request information input through an interfacing controller into data (eg, stream data) in a form that can be processed (recognized) (Resource Description Framework). (RDF) parser 211, and a query API 212 for inputting the sensed data and the service request data converted by the converter 211 into a reasoning engine 23. .

In this case, the query inputter 212 may infer a faster and more efficient correlation based on the profile of each user.

In addition, the service manager 22 configures and controls a service suitable for each user, and allows the inference engine 23 to be executed in the form of a thread.

In addition, the inference engine 23 may include user information, information on a space where a user is located, a list of devices that can be operated / controlled in the space, a list of services that can be provided to the user, a list of implementations of customized services, and time, policy, and situation. And an information store 231 for storing event information for.

The pattern matching unit 25 may include a key value engine 251 for providing a key value used to search for a rule to be applied to the information extracted by the inference engine 23, and the key value engine 251. A rule engine for extracting a rule corresponding to a key value provided from the rule engine 252, information extracted by the inference engine 23, and a situation adaptive to a user based on rules extracted from the rule engine 252 A pattern matcher 253 for inferring a service and delivering the inferred contextual adaptive service to a DB manager 254, a user's location information, and a list of services provided to the user , A service information manager 254 for storing / managing a device, a content such as a photo or a movie, and a context-adaptive service inferred by the pattern matcher 253.

In addition, the service checker 26 checks the priority of the user and the service for the collision and checks the security level, the authority for the service and the information, whether to transfer the device control right and the authority, whether the service can be provided, and the intelligent provision of the service. Level of service, whether or not to provide only part of the service in case of a service conflict, and whether a special situation exists is searched through schedule and user information to examine whether the service is provided.

In other words, when a multi-user requests a service or when there is a service that is required even if the multi-user is located in a space, a collision problem occurs in providing a service. It reads the location, user peripherals, user priorities and security levels, and the services and services available to the user, extracts information based on each relationship, and compares / checks with other policy rules.

At this time, as a policy rule, priority among users, ownership of space, priority between services, device access authority, transfer or reduction of authority to device access authority, extension and reduction of authority of user, security grade of user and security grade of service, dynamic environment Various conflict problems are solved by using the information that defines the level of application of the service.

In addition, system rules are provided to prioritize each user and service to organize the rules, and increase the applicability of the rules to expand the policy management part to provide multi-family and multi-user services, and to secure them. Provide independent services for equipment operation services that do not affect each other.

On the other hand, the sensing data is preferably image data obtained through a sensor (for example, a camera) installed in a specific area.

In addition, when the inference engine 23 infers the situation through the sensed data without the service request information, the inference engine 23 requests a service manager (Service API) 22 to manage the corresponding service.

Then, the service manager 205 creates and manages a thread so that the corresponding service is processed in parallel.

3 is a flowchart illustrating a method of providing a context adaptive service based on a multi-home network environment according to the present invention.

First, in operation 301, sensing information and service request information from the outside are converted into data in a form that can be processed (recognized).

In this case, a thread is generated to parallelize the service according to service request information from the outside, and the service is managed through the generated thread (302).

Thereafter, in accordance with the converted sensed data and service request data, information accompanying the service provision is extracted to infer a situation (303).

Thereafter, based on the extracted information and the corresponding rule, the context-sensitive service suitable for the user is inferred through pattern matching, and the information of the inferred context-adaptive service is managed (304).

Then, it is checked whether the inferred contextual adaptive service collides with another service (305).

As a result of the check, the service execution command is output as the situation adaptive service does not collide with another service (306).

In more detail, first, when a user's movement (detection information) or a user's service request information are input from an external device through an interface controller, an inference engine is passed through an RDF Parser 211. Is converted into a form understandable in (23).

Subsequently, based on the information received through the query input unit (Query API) 212, a query for extracting appropriate information from the ontology 231 is executed and the result thereof is derived. Here, the query extracts a set of contexts related to services and user and space information, available device information, and policy parts that a user requests or needs to provide from an ontology. Even in such extraction, information efficiency is improved by filtering required information based on system rules.

Thereafter, the inference engine 23 selects a service required by the user based on the extracted current service and other user service provision information and input information, and collects information required by the service from the ontology 231.

Then, based on the information transmitted from the key value engine 251 and the variously configured rule engine 252 for service and system management, the pattern matcher 253 infers a service suitable for the situation and the inputted information, Extract information and rules.

In addition, when information related to a conflict with another user is extracted and a conflict with another user or a service conflict occurs, information necessary for policy verification is configured by extracting policy information about other users and services together. do.

At this time, the inferred speed of the result is quickly realized by storing / managing the inferred service, user information, location, and contextual information in the service information manager 254. In addition, the input information may be accessed by accessing the "Reasoner DB" through the service information manager 254 as needed.

The result of the inference is checked by the service checker 26 to check the priority of the user and the service for the collision and check the security level, the authority for the service and information, whether to transfer the control and authority of the device, whether the service can be provided and the intelligent provision of the service. It checks whether the service is provided by searching through the schedule and user information about the level of the service, whether or not to provide only a part of the service for the service conflict, and whether there is a special situation. In addition, it checks the occurrence of a conflict with other services or users, and considers the solution of the security aspect and the policy part and filters the result information.

The result of this process is sent to the output engine (27) so that a command that can actually implement the service is delivered to the service bundle (Service Bundle).

As described above, the method of the present invention may be implemented as a program and stored in a recording medium (CD-ROM, RAM, ROM, floppy disk, hard disk, magneto-optical disk, etc.) in a computer-readable form. Since this process can be easily implemented by those skilled in the art will not be described in more detail.

The present invention described above is capable of various substitutions, modifications, and changes without departing from the technical spirit of the present invention for those skilled in the art to which the present invention pertains. It is not limited by the drawings.

As described above, the present invention provides a situation-adaptive service based on a user's profile, location, and behavior pattern in a home network system based on a ubiquitous environment, and creates a thread so that the service is processed in parallel. And, by managing all the services being processed through the generated thread, there is an effect that can efficiently provide a context-adaptive service to multiple users.

In addition, the present invention has the effect of providing a dynamic and diversified service of the home network by increasing the scalability through the systematic preparation of rules, and enables the inference of various situations and services in the future.

In addition, the present invention is effective in the complex requirements for multi-users in multi-home networks and the movement of users due to the expansion of rules and queries, the linkage of ontology relations, the systematic implementation of rules, and the application of multi-threading techniques of inference engines By providing a stable service, it is possible to implement a service in a ubiquitous environment.

In addition, the present invention solves the service conflict problem through the user and service priority, and has an effect suitable for the ubiquitous environment with accurate inference according to the situation.

Claims (7)

A reasoning apparatus for providing context adaptive service based on multi-home network environment, Query input means for converting the sensing information and the service request information input from the outside into data in a form that can be processed (recognized) and inputting the inference engine; Service management means for generating a thread so that a corresponding service is processed in parallel according to service request information input from the outside, and managing all services being processed through the generated thread; The inference engine for inferring a situation by extracting information accompanying the service provision according to the sensed data and the service request data from the query input means; A pattern matching means for inferring a context-adaptive service suitable for a user based on information extracted from the inference engine and a rule corresponding thereto, and managing information of the inferred context-adaptive service; Service checking means for checking whether the situation-adaptive service inferred by the pattern matching means collides with another service; And An output engine for outputting a service execution command as a result of the inspection in the service inspection means as the situation-adaptive service does not collide with another service Inference device for multi-home network environment-based context adaptive service comprising a. The method of claim 1, Alignment means for aligning the information (data) extracted by the inference engine to be suitable for pattern matching Inference device for multi-home network environment-based context adaptive service further comprising a. The method according to claim 1 or 2, The query input means, A converter (Resource Description Framework (RDF) Parser) for converting sensing information and service request information input from the outside into data (eg, stream data) in a form that can be processed (recognized); And Query API for inputting the sensed data and service request data converted by the converter into a reasoning engine Inference device for multi-home network environment-based context adaptive service comprising a. The method of claim 3, wherein The inference engine, Inferring apparatus for providing a situation-based adaptive service based on a multi-home network environment, if the situation is inferred through the sensed data without service request information, the service management means further requests a management of a corresponding service. The method of claim 3, wherein The pattern matching means, A key value engine (Fact Engine) for providing a key value used to search for a rule to be applied to the information extracted by the inference engine; A rule engine for extracting a rule corresponding to a key value provided from the key value engine; A pattern matcher for inferring a context-adaptive service suitable for a user based on the information extracted from the inference engine and a rule extracted from the rule engine, and transferring the inferred context-adaptive service to a service information manager; And A service information manager for storing / managing location information of a user, a list of services provided to the user, contents such as a device in operation, a photo or a movie, and a context-adaptive service inferred from the pattern matcher. Inference device for multi-home network environment-based context adaptive service comprising a. In the context-based adaptive service providing method based on a multi-home network environment, Converting sensing information and service request information from the outside into data in a form that can be processed (recognized); Creating a thread such that the service is parallelized according to service request information from the outside, and managing a service through the created thread; A situation inference step of inferring a situation by extracting information accompanying a corresponding service provision according to the converted sensed data and service request data; Inferring a context-adaptive service suitable for a user through pattern matching based on the extracted information and a corresponding rule, and managing information of the inferred context-adaptive service; Checking whether the inferred contextual adaptive service collides with another service; And As a result of the checking, outputting a service execution command as the context-adaptive service does not collide with another service Multi-home network environment-based situation adaptive service providing method comprising a. The method of claim 6, Sorting the extracted information (data) to be suitable for pattern matching Multi-home network environment-based context adaptive service providing method further comprising.

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