Home // International Journal On Advances in Software, volume 5, numbers 1 and 2, 2012 // View article

User-driven Service Retrieval Platform for Converged Environments

Authors:
Edgar Camilo Pedraza Alarcon
Julian Andres Zuñiga Gallego
Luis Javier Suarez Meza
Juan Carlos Corrales

Keywords: automatic service retrieval; converged environments; natural language; Telecommunications and Internet services.

Abstract:
Today, there is an abundance of information and services in heterogeneous contexts, such as converged environments (Next Generation Networks) available for end users. However, the developments of Telecommunications and Internet converged services represent a high level of complexity for users without technical skills, since user's requests are represented by complex expressions that describe the required services. Thus, the search and selection of these services depend on the ability of the user to retrieve the most suitable ones, converting this labor in an inefficient task. With this in mind, and in order to improve the time to create convergent services, this paper proposes a novel approach that supports the automatic retrieval of services in converged environments, considering functional and non-functional properties of end-user's requests in natural language. Finally, we present the prototype that implements our proposed architecture and particularly, we describe in detail the defined tasks for natural language processing (NLP).

Pages: 76 to 90

Copyright: Copyright (c) to authors, 2012. Used with permission.

Publication date: June 30, 2012

Published in: journal

ISSN: 1942-2628