112 www.ijergs.org Conventional Way To Retrieve Combination Of keywords from Spatial Data base

Abstract: Clients may search for different type of things to update their knowledge. But Search results depend on the user posed query has to satisfy their searched properties that is stored in the spatial database. For this fast generation, we need a conventional way of searching is required to develop modern application. Here our aim is search has to meet two things that spatial predicate and associated texts. Suppose a client searching for items that is available in a restaurant which is close to his circle is the condition. In spite of comparing all searches related items (restaurants) for accurate one. Just think about the restaurant which is closed to the searcher that contains menu items like “steaks, spaghetti, brandy ” available at the same time. At present the great solution to solve this problem of searching is possible by IR2 tree but, it is insufficient to get an accurate result exactly. For that we newly introduced a spatial inverted index algorithm that extends the gap of IR2 tree which is lagging to compute the multidimensional data. We are evaluating this experimental by posing different queries