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.
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Labidi, N., Chaari, T., Bouaziz, R. (2016). Towards an Automatic Intention Recognition from Client Request. In: Nguyen, NT., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9875. Springer, Cham. https://doi.org/10.1007/978-3-319-45243-2_15
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DOI: https://doi.org/10.1007/978-3-319-45243-2_15
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