Semantic Web: Information Retrieval from World Wide Web

The large amount of information on web has led to impossible accurate search and integration of the information. One of the attractive procedures for facing the redundancy of information is the Semantic Web (SW). So, to structuring the information, improving the searches and presenting the meaning of the information, a technology is needed to create relationship between the existing information in the World Wide Web (WWW) and find the clear meaning among them. SW has meaningful relationship among information and is able to revolute the Information Retrieval (IR) method in web environment. SW is the development of the existing web by equipping it with the semantic cognitive elements and content mining, and then a combination of the continuous and accurate information will be produced. The SW creates a procedure by which information will be understandable for the machines. It is possible to suppose the SW as an effective way for presenting information in the web or as a global and universal link to the information database. In the web environment, there is need for a tool for integration of the information and techniques for processing the information because of the non-heterogeneous and non-concentrated information resources. Ontology is a suitable solution for fast and right access to the common information. SW uses the ontology via providing the conceptual and relational structure and makes possible the information be accessed by the users and be smartly retrieved. We in this paper to characteristics, advantages, architecture and problems of the SW and need implement it in the WWW.