Real-Time Data Analytics with Semantic Web Metadata and Web Services

Abstract

In modern web platforms, the new challenge is to provide a high degree of decentralization for the existing data and services. This paper is dedicated to Real-time Web analytics using standardized and accessible Semantic metadata and Web services to achieve improved performance in data visualization and increased competitiveness, which could open the way to the concept of real-time intelligence. We have shown how the usability, productivity, and accuracy of exposed content on the Internet can be increased by using Web Metadata and Semantics in order to define also the relationship between parts of the content. These methods, if put on top of machine learning techniques, open new ways for creating ”intelligent” web content.