14. Apparatus for constructing a database to deduce a disease and constructing a Bayesian network for U-Health application, comprising: a memory including code which when accessed by a processor causes the processor to execute the steps of: analyzing U-Health information, which includes a disease, a symptom, and a treatment, and constructing a plurality of U-Health ontologies required for service provision; setting a meta-model defining cause-and-effect relationships between the constructed U-Health ontologies; and selecting a subset of the constructed U-Health ontologies comprising at least two specific U-Health ontologies from among the plurality of U-Health ontologies, setting the selected U-Health ontologies as nodes, generating a Bayesian network by applying the meta-model to the set nodes to thereby construct a customized database for inferring a disease of a user; whereby upon receiving personal information of the user, a disease of the user is inferred using a probabilistic analysis of said Bayesian network.
16. The apparatus as claimed in claim 14 , wherein the U-Health ontologies comprise: a disease ontology in which information on kinds of disease is defined, a symptom ontology in which information on symptoms caused by diseases is defined, an environment ontology in which information on environments of a person targeted for disease deduction is defined, and a treatment ontology in which treatment methods for diseases are defined.