An Adaptive Framework for Autonomic Person Identification System using Pervasive Computing
Assistant Professor, Dept. of CSE, PSNA College of Engineering and Technology, Dindigul, TamilNadu, India.
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Economic Globalization is transforming the global market into an interdependent and mutual influenced organic entity that requires interoperability to integrate diverse information systems to share knowledge and collaborate among organizations. Web services are the latest and perhaps hottest buzzword in web development world. The advantage of employing web service composition is to create and consume a value added service by composing simple and complex software components which are deployed at different locations in an autonomic manner. The key objective of our work is to design a framework for person identification system using web service architecture through ontology and to provide a breakthrough mechanism in event of identifying person regardless of place and time. We integrate autonomic capabilities like self Configuring and self Discovery using “Ontology”. Ontology is knowledge representation of various domains that are used automatically to find out the relevant details about anything. Now-adays the personal detail about an individual are digitized and is used for various activities in every field. Moreover there are many ways in which a person can disguise his true identity, so it is necessary to implement a powerful approach for person identification system. Our objective is though a person can fake his identity in many ways there are some features that make him unique. Service Oriented Architecture (SOA) decouples reusable functions and offers considerable flexibility in aligning IT functions. Web service is the main component of SOA. With the help of these features, a person can be easily traced in the society.