Fully automated resource retrieval in telecommunications and internet converged environments

Luis Javier Suarez-Meza (), Julián Andrés Zúñiga, Edgar Camilo Pedraza and Juan Carlos Corrales
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Luis Javier Suarez-Meza: Universidad del Cauca
Julián Andrés Zúñiga: Universidad del Cauca
Edgar Camilo Pedraza: Universidad del Cauca
Juan Carlos Corrales: Universidad del Cauca

Information Systems Frontiers, 2014, vol. 16, issue 1, No 7, 77-93

Abstract: Abstract Today, most of the current retrieval approaches are targeted only to Web services, leaving out different other resource types (Telecom, IT and content). Moreover, such approaches are not aimed at ordinary users, since to find and use a service, users must specify their requests by complex expressions that represent desired services. Thus, the search and selection of relevant resources depend on the ability of the user to retrieve the most suitable ones, which is an inefficient task. In order to address these issues, in this paper we propose an innovative approach for resource retrieval over Telecommunications and Internet converged environments, which brings together traditional NLP techniques with retrieval process based on lightweight semantic approachs. The preliminary experiments show promising results in contrast to traditional approaches.

Keywords: Converged environments; Telecom and IT resources; Full automated retrieval (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10796-013-9457-2

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