User-Driven Automatic Resource Retrieval Based on Natural Language Request

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.

[1]  Eric Cheung,et al.  Unified telecom and web services composition: problem definition and future directions , 2009, IPTComm.

[2]  Kirati Sutthikulphanich.  A Demonstration on Service Compositions based on Natural Language Request and User Contexts , 2008 .

[3]  Kristina Lerman,et al.  Pragmatic evaluation of folksonomies , 2011, WWW.

[4]  Juan Carlos Corrales,et al.  Automatic Service Retrieval in Converged Environments Based on Natural Language Request , 2011 .

[5]  Eric Bouillet,et al.  A Folksonomy-Based Model of Web Services for Discovery and Automatic Composition , 2008, 2008 IEEE International Conference on Services Computing.

[6]  Michael Weiss,et al.  Diversity of the Mashup Ecosystem , 2011, WEBIST.

[7]  Yohanes Baptista Dafferianto Trinugroho,et al.  A Flexible Platform for Provisioning Telco Services in Web 2.0 Environments , 2010, 2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies.

[8]  Hernán Astudillo,et al.  Simplifying mashup component selection with a combined similarity- and social-based technique , 2011, Mashups '11.

[9]  Bowen Sun.  Named entity recognition : Evaluation of Existing Systems , 2010 .

[10]  Michael E. Lesk,et al.  Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone , 1986, SIGDOC '86.

[11]  Michel Riveill,et al.  On-demand service composition based on natural language requests , 2009, 2009 Sixth International Conference on Wireless On-Demand Network Systems and Services.