Abstract
In this paper we propose an innovative approach for User-driven retrieval of Telecom and IT resources over converged environments, which brings together traditional NLP techniques with search and selection process based on lightweight semantic technologies, aimed at ordinary end users. The preliminary experiments show promising results in contrast to traditional approaches. © 2012 Springer-Verlag.
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CITATION STYLE
Pedraza, E. C., Zúñiga, J. A., Suarez-Meza, L. J., & Corrales, J. C. (2012). User-driven automatic resource retrieval based on natural language request. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7337 LNCS, pp. 203–209). https://doi.org/10.1007/978-3-642-31178-9_22
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