Today, the Internet has evolved into a dynamic information warehouse, housing variety of data in diverse data formats. Each data element on the web has a meaning and context attached to it that defines its semantics. The users on Internet need the searched data to be compiled at a faster pace also taking into consideration the relevance of the data. Today, the most advanced search engines facilitate retrieving data from the web on the basis of matching and ranking but not on the basis of semantics of the search elements. This limitation of search engines is not due to limitation of search technologies, but due to the very nature of the web. Most of the Web’s contents today are designed for humans to read, not for computer programs to manipulate meaningfully. Computers can adeptly parse Web pages for layout and routine processing—here a header, there a link to another page. A new technology in which computers become capable of analyzing all the data on the Web – the content, links, and transactions- is emerging. This will create an environment, where software agents on the web can readily carry out sophisticated tasks for users, based on the semantics of the data elements present on the web pages. This changes the very nature of the web from non-semantic to semantic. The Semantic Web brings to the Web, the idea of having data defined and linked in a way that it can be used for more effective discovery, automation, integration, and reuse across various applications. This book dwells on the concept, evolution, and some of the issues associated with semantic web.
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