Hash-based document extraction in corporate mobile devices using ontological architectures

Abstract

Due to the rapid technological advances in mobile and wireless networking devices personal computing has moved towards into ad hoc and pervasive environments. Today the dynamic nature of mobile applications and services have integrated them far more in end-users' lives. Organizations need an effective way of handling their information system for their employees and customers. Mobile devices such as notebook computers Personal Digital Assistants (PDAs) smart phones owned by the corporate and individual users should be adaptable into the existing business environment. In this paper we present a hash-based framework namely SCDE (Shared Corporate Data Extraction) using the current ontological architectures of the corporate domains. This study presents a semantic hashing mechanism formulating an effective search query and assists users with an easier query builder interface. It also extends the features of the user preferences sub-ontology and provides an effective performance against well-known weaknesses of mobile devices. Our model also supports future plans of users' interaction with semantic structures knowledge sharing and new business opportunities for Corporate Information Management Systems.