Review on Customization of Document Using Content and Query Based Annotation

Abstract

Abstract: Many information retrieval algorithms are retrieves the structured and accurate information from large number of databases, are expensive in terms of time and money. Especially when operating on important text that does not contain any instances of the targeted structured information. The alternative approach that provides and also creates the structured metadata using attributes which are feasible by identifying dataset that are likely to contain information of interest or related to search keyword and this information is going to be subsequently useful for querying the database. CADS approach based on the query modules and the metadata using which metadata added and search using the query forms. Also represent the algorithm to identify structured information and extraction of that information. Also useful to improve the search efficiency by using the content search and query search.