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.
Highlights
The continuing technical progress in computing and communication lead to an all-surrounding use of networks and computing power called ubiquitous or pervasive computing (Mattern and Sturn, 2003)
Data from the sensors are presented using any of the following modeling approaches like key-value-pair modeling, Graphical modeling, Object Oriented modeling, logic based modeling, Mark up scheme modeling and Ontology modeling (Strang and Linnho-Popien, 2004)
Among all the modeling approaches, ontology based context model is more suitable for context aware computing (Strang and Linnho-Popien, 2004).Ontology is formally defined as “an explicit specification of a shared conceptualization” (Dey and Abowd, 2000)
Summary
The continuing technical progress in computing and communication lead to an all-surrounding use of networks and computing power called ubiquitous or pervasive computing (Mattern and Sturn, 2003). It simplifies the process of persistence, concurrency control and recovery are accessing data and relational database management used to implement Object oriented database systems. It is complex in declarative querying facilities is not supported in early the internal storage structures to allow for efficient data object oriented database management systems.
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