An Effective Approach for Association Identification in Real Scenarios

The semantic web is an extension of current web. It is gaining the interests of researcher from few years. The aim of this web is to make web meaningful, understandable and machine processable. Making use of information on current web for the productiveness of future web is becoming vital. Heterogeneity of relational data coupled with present web complicates utilization of information for future web. To use the data associated with current web we need it to transform it into ontology. The already presented and provided algorithms merely give the result in user required form. This paper presents a scheme for the identification of association in real scenarios, where there can be very little metadata availability.