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Fully automated resource retrieval in telecommunications and internet converged environments

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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.

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Notes

  1. WordNet is a lexical database for the English language. Available: http://wordnet.princeton.edu/.

  2. This represents an initial approximation of the order or sequence of services’s execution.

  3. Through the abstraction of control words (words of conjunction or ordinal numbers) of a request made in natural language, it is possible to define the elements sequence (order) of a sentence, reflecting control structures that determine the execution flow of atomic services in the retrieved composite service.

  4. JAIN Service Logic Execution Environment, available: http://www.opencloud.com/products/rhino-application-server/jslee-application- server/objectives-of-jain/

  5. Due to the functionalities provided by Flickr is possible extract a folksonomy to be used in our approach. Available http://www.flickr.com/

  6. WSColab won the Cross-Evaluation track of the Semantic Service Selection (S3) contest. Available: http://mars.ing.unimo.it/wscolab/new.php

  7. Available: http://www-ags.dfki.uni-sb.de/%7Eklusch/s3/html/2009.html

  8. Available: http://www.uoguelph.ca/%7Eqmahmoud/qws/index.html

  9. Available: http://webservices.seekda.com

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Acknowledgments

The authors would like to thank University of Cauca, COLCIENCIAS and TelComp2.0 Project for supporting the Research of the M.Sc. Student Luis Javier Suarez.

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Authors and Affiliations

  1. Telematics Engineering Group (GIT), Universidad del Cauca, Popayán, Colombia

    Luis Javier Suarez-Meza, Julián Andrés Zúñiga, Edgar Camilo Pedraza & Juan Carlos Corrales

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  1. Luis Javier Suarez-Meza
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  2. Julián Andrés Zúñiga
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  3. Edgar Camilo Pedraza
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Correspondence to Luis Javier Suarez-Meza.

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Suarez-Meza, L.J., Zúñiga, J.A., Pedraza, E.C. et al. Fully automated resource retrieval in telecommunications and internet converged environments. Inf Syst Front 16, 77–93 (2014). https://doi.org/10.1007/s10796-013-9457-2

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