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Automatic Service Retrieval in Converged Environments Based on Natural Language Request

Authors:
Edgar Camilo Pedraza
Julián Andrés Zúñiga
Luis Javier Suarez Meza
Juan Carlos Corrales

Keywords: automatic service retrieval, converged environments, natural language request, Telecom and Internet converged service

Abstract:
Finding services in dynamic and heterogeneous contexts, as converged environments (Next Generation Networks), is a very complex task and a crucial aspect in this new paradigm of convergence. Therefore, it is essential to have efficient and effective mechanisms for seeking services, to take advantage of resources in the network (Web and telecommunications services). Recent studies have developed Service Creation Environments for Telecommunications and Internet converged services, where 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 developer to retrieve the most suitable ones, converting this labor in an inefficient work. 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 requirements of end-user's requests in natural language, to optimize the process of convergent services creation.

Pages: 52 to 56

Copyright: Copyright (c) IARIA, 2011

Publication date: September 25, 2011

Published in: conference

ISSN: 2308-3549

ISBN: 978-1-61208-152-6

Location: Rome, Italy

Dates: from September 25, 2011 to September 30, 2011