Efficient Information Retrieval through Ontology in Semantic Web - Web Based Approach

Internet is considered as main aspect for obtaining any information about a given domain. When a user wants to find some information, he/she enters a query and results are produced via hyperlinks linked to various documents available on web. But the information that is retrieved to us may or may not be relevant. This irrelevance is caused due to huge collection of documents available on web. Traditional search engines are based on keyword based searching that is unable to transform raw data into knowledgeable representation data. Many Internet search engines are optimized to retrieve predefined, specific and precise specifications. For those instances, one must know exactly what words to use and the search result for these words will be very precise and accurate. It is a very difficult task to extract relevant information from large collection of web documents. These drawbacks have directed to the concept of Semantic Web (SW) and Ontology into existence.

The Semantic Web (SW) is an idea of World Wide Web inventor Tim Berners-Lee that the Web as a whole can be made more intelligent and perhaps even intuitive about how to serve a user's needs which helps in extracting relevant information using many Information Retrieval (IR) techniques.

Current Information Retrieval (IR) techniques are not so advanced that they can be able to exploit semantic knowledge within documents and give precise result. An ontology defines a common vocabulary for researchers who need to share information in a domain. It includes machineinterpretable definitions of basic concepts in the domain and relations among them.