Creating routing plan for keyword query

Keyword search is an inherent example for searching linked data sources on the web. The proposed work tries to route keywords only to relevant sources. This would also reduce the high cost of processing keyword search queries over all sources. This proposed work also tries to compute top-k routing places based on their potentials to contain results for a given keyword query. The number of potential results may increase exponentially with the number of sources and links between them. Most of the results may be not necessary especially when they are not relevant to the user. The proposed work uses to solve the problem of keyword search over large number of linked and structured data source by using keyword expansion.