Inference Verification for Enhancing Confidence in Semantic Information Service

Recent semantic information services based on ontology provide users with very useful analytic information but do not often give intuitive understanding to users. This may lead to decrease users' confidence in semantic information services. To solve this issue, we suggest inference verification method which explains how an implicit fact was obtained. Inference verification is defined as a set of facts and rules caused to derive an implicit fact. Practicality and visualization are considered as important factors to implement this task since the task is for real users. We are convinced that the suggest method can give confidence in semantic information services to users and plan to evaluate it through user test.