Method and system for using Bayesian network models in distributed sensor environment

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 obtained from a plurality of sensors, 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 data storage that stores 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.

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 to specify 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;
• deriving, from the scenario, information including a service goal and status information;
• deriving intermediate goals from the service goal, wherein the intermediate goals are not stated in the scenario;
• deriving specific goals from a combination of the status information;
• and
• linking the intermediate goals with the specific goals to complete service modeling.