What is Semitic ? — The Theory

World Wide Web is a deep ocean of knowledge. It consists of infinite number of knowledge and data in form of documents, images, videos etc. This type of data may fascinate any user with its desired information. Now, the question arises that how computer interpret and save this data or how information is conveyed to us or how computer understand them? The answer to all the question lies in the same direction. Computer doesn’t have any sense of understanding the information, it cannot predict what a user is looking for and based on the given information computer cannot decide what to interpret.

Most of the web is based on documents, the information you see on web is also a document, and these documents are stored separately and are connected through some kind of links. For example, when you search anything on Google it will give you number of links to get the desired information. The idea is same that Google stores links to provide output but here comes to a question that how to teach the computer to provide us most authentic results in other words how Google provides us most accurate and authentic results. This brings the concept of Semitic web.

The term semantic web consists of two parts semantics and web. Semantic means syntax or . we can say that semantics are the ideas behind any information. For instance if we have a sentence ‘shoot the arrow’, it contains subject and verb, but if we can change it to ‘shoot the >> →’ we can come to the same end result with same meaning of what our information is trying to express. This is what we call semantics, it’s the way of defining things; the idea to let computer understand the meaning of things (intro to Semantic Web 2014)

If we Google ‘which is best DSLR’ it will provide some result related to its relationship. As shown in diagram that CNET is best website for technological reviews and DSLR is a camera of NIKON brand, Google can now identify how figure out the best DSLR camera according to the relationship.

The Semantic Web facilitates users to get more accurate result by adding more descriptive information to Web pages. The Web focuses on categorizing data using standard relationships and the RDF(Resource Description Framework) or XML format (Semantic Web vs. Data web Definition from PC Magazine Encyclopedia — 2014). Thus this mechanism helps machines to understand the meaning of content as like humans.

For example:

Traditionally : <item>deakin</item>

Semantic encoding : <item rdf:about=”http://deakin.edu.au” >deakin</item>

As shown in the example that how information can be interpreted by computers. This can help a machine to extract the meaning as humans do and after that processing it to most effective way. Similarly data will be more meaningful. Furthermore, there will be the dynamic data oriented solution in which most of the results will be refined and to its most authentic level.

Tim Berners-Lee (founder of World Wide Web) posits that “if the past was document sharing, the future is data sharing” (Semantic Web — Wikipedia — 2014).