Alias extraction by giving entity name using lexical pattern based approach

Many celebrities and experts from various fields may have been referred by not only their personal names but also by their aliases. If the person is referred by using their alias then it would be difficult to find the complete information about the same. So it is important to know the aliases to make the search more reliable. Extracting aliases are important in many task such as information extraction, name disambiguation etc. The main purpose of the project is to show the aliases of a given personal name. If the user is new he has to create his profile first. Once created he can successfully search for the aliases by giving two types of input like by giving personal name as an input or by giving one of the alias amongst existing. Admin has the charge of uploading aliases information and he can upload the additional information too if needed. There is possibility that it may extract more aliases so it is important to know which most appropriate aliases are for that ranking function is used. The proposed method gives higher MRR(Mean Reciprocal Rank).