Data object optimal manipulation on data base using merging algorithm (DOOMDUMA)

The main aim of DOOMDUMA is to provide user friendly feature, less scanning and efficient output. The goal was set to develop an interface that would extract desired information from available data repository. This interface was expected to be easy for use, quick and most importantly satisfying the actual needs of the user. The main aim of our system is to search synonym word from global dictionary, and also analyze the behavior of frequent query. It means user does not require to update the dictionary for each new word. Our lexical dictionary can be created on run time according to our data base, so we do not require creating a dictionary manually. Our system reduce memory space required to load this dictionary and also reduce the searching time because we use the concept of frequent search in which user write a single token and all frequent query related to that token will be fetched from permanent data base and is shown to user, so we do not require to search each word on lexical dictionary for this query. Develop an interface that provides proper, correct and precise information in response to a non formal query in a natural language English.