An intelligent model for trustworthiness evaluation in semantic web applications

The development and the advances of the World Wide Web from its first inception resulted in numerous diverse amounts of data and webpages on the web which motivates to greater demand for managing this data in an effective manner. Therefore, novel tools and techniques are required to effectively manage these data. Such tools are assumed to support interoperability and warehousing between the multiple data sources and extracting information from the different trusted databases on the web. Subsequently, the web is evolving into what is now called the Semantic Web aims to alleviate users from the burden of integrating different information sources as well as to perform searches. However, one needs to examine the trust issue of the searching results from any Semantic Web application. This paper investigates trust policies and mechanisms in semantic web applications and introduces an intermediary step to classify the relevant web services via intelligent model based on NN.