Query Explication by Semantic Approach

In the present scenario a large volume of data is available related to each and every topic. This increase in the amount of data has led to a situation where users are flooded with information and have difficulty sifting through the reams of material, much of which is not relevant to them. This is commonly referred to as the problem of information overload. So the main focus is to add a new dimension to Internet- Searching and that is to apply semantic aspects towards it. In precise words, the search must be what user wish, not what he/she types. This paper presents the Latent semantic analysis (LSA) implementation on the terrier which provides a semantic relation between the terms and the documents