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Towards an Automatic Intention Recognition from Client Request

  • Noura LabidiEmail author
  • Tarak Chaari
  • Rafik Bouaziz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9875)

Abstract

Nowadays, the relentless growth of the IT (Information Technology) market and the evolution of Service-oriented architectures (SOA) make the establishment of Service Level Agreements (SLA) between providers and clients a complex task. In fact, clients find many IT offers with complex terms especially if they do not share the same technical knowledge with providers. These latter have to well understand clients’ requirements in order to be able to properly address their needs. In this context, ontologies can help in bridging the gap between provider’s offers and client’s needs. In this paper, we define firstly an ontology structure that models clients’ intentions. Furthermore, we propose an approach for intention recognition from textual request written in English to automatically populate the intention ontology structure. An illustrative case is finally presented to prove the accurate performance of our proposed approach.

Keywords

Text analysis Intentional structure Ontology population Term extraction Knowledge modeling 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.MIR@CL LaboratoryFSEGSSfaxTunisia
  2. 2.ReDCAD LaboratoryUniversity of SfaxSfaxTunisia

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