Services Rating Based On Privacy-Ontology in Semantic Web of Things

In Semantic Web of Things, all provided services should meet users' demands by service-required user information, in which user privacy information necessarily involve, and privacy information leakage is a serious and sensitive legal problem. So how to balance user privacy protection and services quality comes to be a challenging research focus. To solve this problem, a privacy ontology based service rating framework is proposed, and a privacy-ontology based semantic similarity measure referenced to semantic distance is proposed, so that the semantic similarity between privacy and service requirement and the sensitivity of service requirements can be calculated. Meanwhile, a score function is given, which score services according to sensitivity and rate services via the result of score. Under the premise of protecting the users' privacy as much as possible, the proposed service framework in this paper can provide users with personalized and better services of high quality and high added value.