KR20100068159A - Semantic service discovery apparatus and method - Google Patents

Abstract

PURPOSE: A device and a method for searching semantic service are provided to integrally search a service analyzed through a user query, thereby providing an optimum service to a user. CONSTITUTION: A semantic service search unit(300) analyzes a user query through I/O managemtn unit(200). Based on ontology, the semantic service search unit analyzes semantic information about analyzed user query through a database(600). A semantic service search unit generates query for service search. The semantic service search unit changes the query to ontology query. A dynamic service recommendation unit(700) possessively recommends a service according to a user situation.

Description

Semantic service discovery apparatus and method

It relates to service searching, and more particularly to semantic service searching for semantically searching for services.

This study was derived from a study conducted as part of the IT growth engine technology development project of the Ministry of Knowledge Economy and the Ministry of Information and Telecommunications Research and Development. [Task Management Number: 2008-S-007-01, Network Knowledge-based Personalization Service Technology Development]

As the information age enters into the information age, the types and quality of services are diversified according to the various needs of users and operators, and the number of services is rapidly increasing. Therefore, it is difficult to search for a suitable service at a desired time by simply storing the service. Therefore, the use of the specification of the service and technologies such as the classification and conversion of the service have emerged, but the search results of the service are enormous, and the hassle of finding the service through the user's selection has increased.

First, unstructured and unstructured service descriptions written in natural language cannot use a unified search method.

Second, the lack of information on the specification of the service does not sufficiently indicate the attributes of the service.

Third, simply looking up the relationship in a syntactic way can not represent the original semantic relationship.

Fourth, it is difficult to indicate additional restrictions such as conditions of service. In addition, it is difficult to find the applicable domain for the service, and it is difficult to find a flexible service in addition to the exact matching service.

Accordingly, in the specification of the service, the service is specified in a formal format that can be understood by the machine, and the semantic annotation is used to construct the ontology to define and use the property of the service. However, there is still a need for a method of finding a service that is tailored to a specific user and desired by a semantic approach in an ontology-based service repository.

An object of the present invention is to provide a manual semantic service search apparatus and method for searching for a desired service at a desired time.

It is also an object of the present invention to provide an active semantic search apparatus and method for searching for a service that a user is expected to need when the user does not require it.

A passive semantic service search method for achieving the above technical problem comprises the steps of: receiving a query for service search from a user terminal; Analyzing the input query; Analyzing semantic information based on the ontology for the analyzed query; And generating a query for service search by combining the analyzed semantic information, and converting the semantic information into an ontology query to search for a service.

On the other hand, the active semantic service search method for achieving the above-described technical problem collecting the user state information; If it is determined that service recommendation is necessary according to the collected user state information, analyzing corresponding user information; Analyzing semantic information based on the ontology to provide a service according to the analyzed user information; Generating a query for service search by combining the analyzed semantic information, and converting the semantic information into an ontology query to search for a service; And providing the retrieved service information to the user terminal.

On the other hand, the passive semantic service retrieval apparatus for achieving the above technical problem is an input and output management unit for receiving a query for the service search from the user terminal and outputs the search result service information according to the input query to the user terminal; A database built for semantic service lookup; And the query inputted to the input / output management unit, and analyze semantic information about the query analyzed through the database based on the ontology, generate a query for service search based on the analyzed semantic information, and convert it into an ontology query It includes; a semantic service search unit for searching a service through.

On the other hand, the active semantic service search device for achieving the above-described technical problem is to determine whether to recommend the service according to the user situation, if it is determined that the service recommendation, instructs the service search based on the user information and the user to search the service information according to the instruction A service active recommendation unit provided to the terminal; A database built for semantic service lookup; And analyze semantic information based on ontology based on the user information according to the service search instruction of the service active recommendation unit, generate a query for service search based on the analyzed semantic information, and convert it into an ontology query. It includes; a semantic service search unit for searching a service.

Through the query specified by the user, it is possible to search the semantic analysis of the service in an integrated manner. Finally, it provides the best service to the individual by using the user's preference or the user's service history through the personal information. It is possible. In addition, when a user's current situation corresponds to a specific condition without the user's request, the service may be automatically recommended in consideration of the user's current situation and personal information.

In particular, rather than simply searching the list of available services, it is possible to search for and provide the most suitable service for the user by reflecting additional information such as service parameters, functional effects of the service, preconditions, and security level.

The foregoing and further aspects of the present invention will become more apparent through the preferred embodiments described with reference to the accompanying drawings. Hereinafter, the present invention will be described in detail to enable those skilled in the art to easily understand and reproduce the present invention.

First, the semantic service search method according to an embodiment of the present invention uses four semantic information, and this semantic information is provided together with the service at the time of registration of the service.

First, the data semantic information indicates the meaning of the input and output parameters of the service and is mapped to the type of the parameter.

Second, the protocol semantic information refers to the relationship between services, and may indicate the dependency or dependency between services.

Third, functional semantic information is described in terms related to the function of the service.

Fourth, non-functional semantic information indicates the attributes of a service such as security and quality of service which are not related to a specific function of the service.

1 is a block diagram of a semantic service search apparatus according to an embodiment of the present invention.

The semantic service retrieval apparatus includes an input / output management unit 200, a database 600, and a semantic service retrieval unit 300. The input / output manager 200 receives a user query for service search delivered through the user terminal 100, and provides an input / output interface for providing the user terminal 100 with service information searched as a result suitable for the query. Configuration. In this case, the user terminal 100 may be a mobile phone, a PDA, or the like, and the type thereof is not particularly limited.

The database 600 is a database constructed for the ontology-based semantic service search by the semantic service search unit 300. The database 600 may include a domain ontology database 610 and a service ontology database 620. The domain ontology database 610 is a storage device for data or service retrieval. The domain ontology is based on the concept of category information and service input / output parameters according to the classification of the service, that is, the relationship between the type and the service and the performance or security of the service. Define the concept of functional attributes. The service ontology is semantic information of a service, and has a functional meaning of the service as a service name through a domain ontology, and includes substantial protocol information of the service and non-functional information of the service.

The semantic service search unit 300 analyzes a user query input through the input / output management unit 200 and analyzes semantic information about the query analyzed through the database 600 based on the ontology. A query for service search is generated based on the analyzed semantic information, and the service is searched through the database 600 by converting the query to an ontology query. The searched service is provided to the user terminal 100 through the input / output management unit 200.

In one embodiment, the semantic service search unit 300 includes a query analyzer 310, a semantic analyzer 320, an ontology query transform and search unit 330. The query analyzer 310 analyzes a user query input through the input / output manager 200 and extracts a keyword required for service search.

The semantic analyzer 320 analyzes various semantic information with the keywords extracted by the query analyzer 310. In an embodiment, the semantic analyzer 320 may include at least one of a data semantic analyzer 321, a protocol semantic analyzer 322, a functional semantic analyzer 323, and a non-functional semantic analyzer 324. Include or include all.

The data semantic analyzer 321 analyzes the semantics of the service parameter. That is, it analyzes the mapping relationship with the domain ontology corresponding to the parameter type. The data semantic analyzer 321 may grasp other expressions having the same meaning belonging to the ontology collection mapped to the keyword extracted by the query analyzer 310. The protocol semantic analysis unit 322 is to analyze the relationship between services, and performs a function of analyzing the relationship between the service corresponding to the precondition of the service and the service corresponding to the postcondition through the domain ontology. . For example, a card payment service and a card authentication service may be regarded as a service having a good standing relationship. The protocol semantic analysis unit 322 may grasp the service in the after-service relationship of the service to be searched.

The functional semantic analysis unit 323 performs a function of semantically analyzing what function is performed through the service and what the effect is, and mapping the domain ontology. In addition, the non-functional semantic analysis unit 324 is configured to analyze the constraints and the like necessary in addition to the functional meaning of the service, and analyzes the domain ontology.

The ontology query conversion and retrieval unit 330 converts the ontology query language into the ontology query when the semantic analyzer 320 retrieves domain information or service information through the ontology.

Meanwhile, according to an additional aspect of the present invention, the semantic service search unit 300 searches only a service related to user information. In one embodiment, the semantic service search unit 300 is semantic information from the data semantic analysis unit 321, protocol semantic analysis unit 322, functional semantic analysis unit 323, and non-functional semantic analysis unit 324 The service ontology is searched by collecting and converting the query generation and ontology query for the service search, and searching, that is, extracting only the service related to the user from among the searched services.

To this end, according to an embodiment, the semantic service search apparatus further includes a personalized knowledge management unit 400 and a personal information database 500. The personalized knowledge management unit 400 is a component for managing personal information. The personalized knowledge manager 400 manages the user's location information or presence information as well as information on the user's profile, history, and preferences, and the semantic service search unit 300 needs it. to provide. The personal information database 500 refers to a storage device used for storing and retrieving personal information in the personalized knowledge management unit 400.

Meanwhile, the semantic service retrieval apparatus according to an aspect of the present invention may further include a service active recommendation unit 700 for service active recommendation according to a user context. The service active recommendation unit 700 is a component for actively recommending a service by monitoring a user's environment and situation, that is, collecting user state information to determine whether a service recommendation is necessary. The status information of the user is information representing the current environment of the user, and examples thereof include location of the user, activation of the user, and current time. For example, in a living space, a noise sensor, an RFID sensor, a bio sensor, and physical environment sensors measuring temperature / humidity are installed in the living space, and the user terminal 100 is provided with a state from them. The information is obtained and provided to the semantic service searching device. The service active recommender 700 determines that a service recommendation is necessary when the state information of the user provided from the user terminal 100 satisfies a preset condition, and the service search based on the user information is performed by the semantic service search unit 300. Instruct. The semantic service search unit 300 analyzes the semantic information based on the user information stored in the personal information database 500 managed by the personalized knowledge management unit 400, not the user query.

2 is a flowchart of a passive semantic service search method according to an embodiment of the present invention.

The semantic service search unit 300 receives a query for service search from the user through the input / output management unit 200 (step S200) and analyzes the received user query (step S210). The keywords needed for service search are extracted through user query analysis, and the extracted keywords are converted into ontology query statements through semantic analysis units to search for services by service ontology.

For the functional information of the service, the semantic service search unit 300 has a term related to the function among the keywords extracted from the user query and extracts it from the domain ontology through the functional semantic analysis unit 323 (step S). S220). In order to query the service with the ontology, it analyzes whether there is a user request corresponding to the service parameter. In this case, the data semantic analysis is performed through the domain ontology by analyzing keywords obtained from the user query through the data semantic analysis unit 321 (step S230). Next, the protocol semantic analysis unit 322 analyzes whether or not the user has specified a prognostic relationship with another service (step S240). Thereafter, after confirming whether the non-functional requirement is from the user through a user query, the keyword is searched by analyzing the domain ontology (step S250).

In this way, after each semantic information is obtained from the user query through the domain ontology, the obtained keywords are combined to be converted into an ontology query for service search for obtaining a desired service from the service ontology to search for the service (step S260). (Step S270) (Step S280). Finally, a service suitable for the user is selected based on the user's personal information, that is, the preference or the personal history, among the searched services (step S290). The selected service information is provided to the user terminal 100 through the input / output manager 200, and thus the service information retrieved is output to the user terminal 100.

4 is a flowchart of an active semantic service search method according to an embodiment of the present invention.

The service active recommendation unit 700 collects user state information and determines whether a service recommendation is necessary based on the collected information. If it is determined that the active service recommendation is necessary, the service active recommendation unit 700 requests the service search to the semantic service search unit 300. The semantic service search unit 300 receives a service search request from the service active recommendation unit 700 (step S300) and analyzes corresponding user information stored in the personal information database 500 (step S310). Here, the user information may include information such as user location information, personal preference, history, and the like. The semantic service search unit 300 extracts a keyword necessary for service search through user information analysis, and converts the keyword into an ontology query through each semantic analysis unit to search for a service using a service ontology.

With respect to the functional information of the service, the semantic service search unit 300 has a term related to the function extracted from the personal information database 500 and extracts from the domain ontology through the functional semantic analysis unit 323 to analyze the functional keyword. (Step S320). In order to query the service with the ontology, it analyzes whether there is a user request corresponding to the service parameter. In this case, the data semantic analysis is performed through the domain ontology by analyzing keywords obtained from the personal information database 500 through the data semantic analysis unit 321 (step S330). Next, the protocol semantic analysis unit 322 analyzes whether or not the explicit relationship with other services is specified (step S340). Thereafter, the personal information database 500 confirms whether the non-functional requirements were from the user, and then analyzes the domain ontology to find a keyword (step S350).

As described above, after semantic information is obtained from the personal information database 500 through the domain ontology, the obtained keywords are combined and converted into ontology queries for service retrieval to obtain a desired service from the service ontology. (Step S360) (Step S370) (Step S380). Finally, the searched service or service list is provided to the user terminal 100 through the service active recommendation unit 700 (step S390).

So far I looked at the center of the preferred embodiment for the present invention. Those skilled in the art will appreciate that the present invention can be implemented in a modified form without departing from the essential features of the present invention. Therefore, the disclosed embodiments should be considered in descriptive sense only and not for purposes of limitation. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the scope will be construed as being included in the present invention.

1 is a block diagram of a semantic service search apparatus according to an embodiment of the present invention.

2 is a flowchart of a passive semantic service search method according to an embodiment of the present invention.

3 is a flowchart of an active semantic service search method according to an embodiment of the present invention.

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

200: input and output management unit 300: semantic service search unit

310: query analysis unit 320: semantic analysis unit

321: data semantic analysis unit 322: protocol semantic analysis unit

323: functional semantic analysis unit 324: non-functional semantic analysis unit

330: ontology query conversion and search unit

400: personalized knowledge management unit 500: personal information DB

600: Database 610: Domain Ontology DB

620: service ontology DB 700 service active recommendation

Claims (16)

Receiving a query for service search from a user terminal; Analyzing the input query; Analyzing semantic information on an ontology basis for the analyzed query; And Generating a query for service search by combining the analyzed semantic information, and converting the semantic information into an ontology query to search for a service; Semantic service search method comprising a. The method of claim 1, The semantic information includes at least one of data semantic information indicating a meaning of a service parameter, protocol semantic information indicating an association between services, functional semantic information indicating a function of a service, and nonfunctional semantic information indicating a non-functional information of a service. Semantic service search method, characterized in that. The method of claim 2, The searching step, the semantic service search method characterized in that for searching for services related to the user information. Collecting user status information; If it is determined that service recommendation is necessary according to the collected user state information, analyzing corresponding user information; Analyzing semantic information based on the ontology to provide a service according to the analyzed user information; Generating a query for service search by combining the analyzed semantic information, and converting the semantic information into an ontology query to search for a service; And Providing the retrieved service information to a user terminal; Semantic service search method comprising a. The method of claim 4, wherein The user information includes at least one of a user's current state, preferences, service usage history information. The method of claim 4, wherein The semantic information includes at least one of data semantic information indicating a meaning of a service parameter, protocol semantic information indicating an association between services, functional semantic information indicating a function of a service, and nonfunctional semantic information indicating a non-functional information of a service. Semantic service search method, characterized in that. An input / output manager that receives a query for service search from a user terminal and outputs search result service information according to the input query to the user terminal; A database built for semantic service lookup; And Analyze the query inputted to the input / output management unit, analyze semantic information about the analyzed query through the database based on the ontology, generate a query for service search based on the analyzed semantic information, and convert it into an ontology query A semantic service search unit for searching a service through the database; The semantic service search apparatus comprising a. The method of claim 7, wherein the semantic service search unit: A data semantic analysis unit analyzing data semantic information indicating a meaning of a service parameter; And A functional semantic analysis unit analyzing functional semantic information indicating a function of a service; The semantic service search apparatus comprising a. The method of claim 8, wherein the semantic service search unit: A protocol semantic analyzer for analyzing protocol semantic information indicating an association between services; The semantic service search apparatus further comprises. The method of claim 8, wherein the semantic service search unit: Non-functional semantic analysis unit for analyzing non-functional semantic information representing the non-functional information of the service; The semantic service search apparatus further comprises. The method of claim 7, wherein The semantic service search unit searches for a service related to user information. A service active recommendation unit for determining whether to recommend a service according to a user situation, instructing a service search based on user information when providing a service recommendation, and providing the searched service information to the user terminal according to the instruction; A database built for semantic service lookup; And According to the service search instruction of the service active recommendation unit, the semantic information is analyzed through the database on the basis of the user information with the corresponding user information, and a query for service search is generated based on the analyzed semantic information, and then converted into an ontology query. A semantic service searcher for searching for a service through the service; The semantic service search apparatus comprising a. The method of claim 12, And the user information includes at least one of a user's current situation, preference, and service usage history information. The method of claim 12, wherein the semantic service search unit: A data semantic analysis unit analyzing data semantic information indicating a meaning of a service parameter; And A functional semantic analysis unit analyzing functional semantic information indicating a function of a service; The semantic service search apparatus comprising a. The method of claim 14, wherein the semantic service search unit: A protocol semantic analyzer for analyzing protocol semantic information indicating an association between services; The semantic service search apparatus further comprises. The method of claim 14, wherein the semantic service search unit: Non-functional semantic analysis unit for analyzing non-functional semantic information representing the non-functional information of the service; The semantic service search apparatus further comprises.

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