A Classification of Challenges in the Semantic Web Based on the General Architecture

Abstract

The Semantic Web has the purpose of making information available and understandable for computers and humans. However, some issues and challenges are present during this process. This paper presents a proposal of challenges in the Semantic Web. In this sense, we have considered an organization of three categories based on the general architecture proposed by Berners-Lee: Representation, Reasoning/Querying, and Quality. We also mention some methods for partially solving these challenges, and drawbacks of using machine learning approaches.