An indexing technique for fuzzy object oriented database using R tree index

Abstract

Object Oriented Database (OOD) is one of the emerging technologies which replace relational databases as relational databases are not designed to support multimedia data. As there is need to move towards the age of internet, thus dealing with multimedia data is the issue which is solved by Object Oriented Databases. Generally, the data available to us is highly imprecise or uncertain. Thus, there is the need of Fuzziness in databases to deal with uncertainties in data. The extension towards OOD model is Fuzzy OOD which is used to model various Object Oriented features with the representation of uncertainty or impreciseness in data. The Proposed work includes the OOD model which handles fuzziness in data and to enhance performance of the proposed model, an indexing technique using R tree is introduced. Query Processing in proposed model is compared with the Normal Query Processing with respect to time. The results show that the performance of Query Processing in Proposed ITFOOD is better than the normal query processing without Indexing.