Comparing and Choosing Appropriate Database for Storing Context in Context Aware System

Abstract

Problem statement: The databases introduce the digital era the fact that requirement to maintain large and ample data. The growth of information development and improvement that pursued it transformed the databases into a global reality. This study enquired and described the vital role of storing the context data to an appropriate database in the area of context aware computing. It also addson limitations of the existing relational and object relational databases with respect to context aware computing. Approach: This article examines traditional database like relational database, object relational database and spatial database. It helps to make an optimal decision while choosing the database for context aware applications. Results: All the traditional databases are compared with context aware features like semantic support, ease of transaction of large data, query optimization, reasoning support, formality, scalability, spatial data and xml support. Conclusion: This study confirmed that using object relational database along with ontology is more apt for storing the context data for context aware computing applications.