Method and system for modeling service using bayesian network and status information in distributed environment

• US 20070118555A1
• Filed: 11/15/2006
• Published: 05/24/2007
• Est. Priority Date: 11/23/2005
• Status: Active Grant

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: Cho, Young, Go, Young, Sohn, Joo
• Granted Patent: US 7,599,900 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks

Abstract

Provided are a method and system for modeling a service using a Bayesian network and status information in a distributed environment. The method includes creating a scenario for modeling at least one service, categorizing the service into models according to properties based on the scenario, setting interrelationships including a chronological relationship, a hierarchical relationship, and correlation between the categorized models, and deriving information including a service goal and status information with respect to the models and completing service modeling. Accordingly, a service provider, which digitally provides various services in a ubiquitous environment, can efficiently and actively provide intelligent services. In addition, since a specific method of modeling a service based on probabilities is provided, an intelligent service is modeled efficiently and diversely.

Claims

1. A method of modeling a service using a Bayesian network and status information in a distributed environment, the method comprising the operations of:

creating a scenario for modeling at least one service;

categorizing the service into models according to properties based on the scenario;

setting interrelationships including a chronological relationship, a hierarchical relationship, and correlation between the categorized models; and

deriving information including a service goal and status information with respect to the models and completing service modeling.

2. The method of claim 1, wherein the operation of creating the scenario comprises creating the scenario based on a cause of occurrence of the service, the service goal, and status of the service.

3. The method of claim 1, wherein the operation of deriving the information and completing the service modeling comprises describing the information to include all attributes that can be represented in a single node, and the information can be used in at least one service model in common.

4. The method of claim 1, wherein the operation of deriving the information and completing the service modeling comprises:

deriving a lower-intermediate goal from the service goal to perform top-down modeling;

deriving a particular goal from the status information to perform bottom-up modeling; and

performing the service modeling using at least one of the top-down modeling and the bottom-up modeling.

5. The method of claim 1, further comprising:

constructing an ontology of information of the service model; and

constructing a management ontology considering the distributed environment based on the ontology of the ontology of information of the service model.

6. The method of claim 5, wherein the ontology of information of the service model represents input and output information of the service model and a motive of a status in which the model is selected.

7. A system for modeling a service in a distributed environment using a Bayesian network and status information, the system comprising:

at least one agent accessing an ontology server, providing a service, collecting status information, and transmitting the status information to a service model server;

at least one service model server selecting a service model appropriate to the status information and providing the selected service model; and

at least one ontology server managing an ontology describing the service model,

wherein the agent, the service model, and the ontology server are connected to one another through an ontology-based communication network.

8. The system of claim 7, wherein the service model server comprises:

a scenario creation unit creating a scenario for modeling the service;

a categorization unit categorizing the service into models according to properties based on the scenario and setting interrelationships including a chronological relationship, a hierarchical relationship, and correlation between the categorized models; and

a model creation unit deriving information including a service goal and status information with respect to the models and creating the service models.

9. The system of claim 8, wherein the scenario creation unit creates the scenario based on a cause of occurrence of the service, the service goal, and status of the service

10. The system of claim 8, wherein the categorization unit comprises:

a first modeling block deriving a lower-intermediate goal from the service goal to perform top-down modeling;

a second modeling block deriving a particular goal from the status information to perform bottom-up modeling; and

a selector selecting at least one of the top-down modeling and the bottom-up modeling.

11. A computer-readable recording medium for recording a program for executing a method of modeling a service using a Bayesian network and status information in a distributed environment, the method comprising:

creating a scenario for modeling at least one service;

categorizing the service into models according to properties based on the scenario;

setting interrelationships including a chronological relationship, a hierarchical relationship, and correlation between the categorized models; and

deriving information including a service goal and status information with respect to the models and completing service modeling.