Using Taxonomies to Perform Aggregated Querying over Imprecise Data

Abstract

In this paper, we put forward our approach for answering aggregated queries over imprecise data using domain specific taxonomies. A new concept we call the weighted hierarchical hyper graph has been introduced, which helps in answering aggregated queries when dealing with imprecise databases. We assume that the existence of a knowledge base is permanent and independent of the imprecision in the database. We use this concept to build a temporary database known as the extended database and use the extended database to build the marginal database, which efficiently answers aggregated queries over an imprecise data.