Comparative Classification of Semantic Web Challenges and Data Mining Techniques

The semantic Web is an extension of the current Web in which information is given well-defined meaning, and with changing Web contents into machine understandable form, would promote quality and intelligence of the Web. Since the semantic Web mainly focuses on the data and information, different data mining techniques can address some significant challenges in the semantic Web. The goal of this article is to analyze and classify the application of divers data mining techniques in different challenges of the semantic Web. For this goal, the article attempts to categorize and analyze related researches for better understanding and to reach a framework that can map data mining techniques into the semantic Web challenges and requirements.