Knowledge Representation Using Semantic Web Techniques

567 Words2 Pages

The emergence of the World Wide Web (WWW) has brought exciting new possibilities in information access and electronic business. The WWW has grown to be the largest distributed repository of information ever created. Current estimates reveal that the Web currently contains about 3 billion static documents and being accessed by over 500 million users from around the world [6]. Web content consists largely of distributed hypertext and hypermedia, accessible via keyword-based search and link navigation. Simplicity is one of the Web’s major strengths and an important feature in its popularity and growth. It is this simplicity that has fuelled its wide uptake and exponential growth. However, it is this very simplicity that is hampering further growth and exploitation of the Web. The explosion in the range and quantity of Web content also exposes serious shortcomings in the hypertext paradigm [1]. It is increasingly difficult to locate required content through existing search and browse methods ([1], [2], [3]). Finding the right piece of information is often challenging. Search engines can assist in finding material containing specific words, but it is very easy to get lost in the huge amounts of irrelevant material. Selecting the relevant material out of the million web pages on the computer screen becomes a nightmare and manually unachievable as this requires users to read through a large number of retrieved documents to extract the right information. Currently it has been hypothesized that the solution to this problem lies in the ‘invention’ of the machine-understandable semantics for some or all of the information on the WWW. The realization of such a Semantic Web [4] requires developing techniques for expressing machine-understan...

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