A Survey of Semantic based Solutions to Web Mining

An effective retrieval of the most relevant documents from the Web is difficult due to the large amount of information in all types of formats. Researches have been conducted on ways to improve the efficiency of Information Retrieval (IR) systems. To arrive to suitable solutions in IR systems, machines need additional semantic information that helps in understanding Web documents. This is made true by an intelligent web called the Semantic Web, which offers users the ability to work on shared meaningful knowledge representations on the web. Semantic Web makes the Web content meaningful to computers and it intends to support machine-processing capabilities. Using Semantic Web is a way to increase the precision of IR systems. This paper focuses on the various Semantic-based approaches in Web mining research.

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