Abstract
This paper describes an automatic approach that populates an ontology of intentions from textual client request in IT market. This approach is based on an ontology structure that models clients’ intentions. It combines NLP (Natural Language Processing) techniques to populate the ontology by the client’s intention recognized from an English written request. Our automatic approach ensures the segmentation, the analysis, the extraction of semantic components and finally the population of the ontological structure by the new instance. This last step is devoted to the building of an intentional instance in conformity with the ontology structure by applying a set of linguistic rules. An experiment on clients’ requests from an online forum was considered to illustrate the efficiency of the proposed approach.
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Labidi, N., Chaari, T., Bouaziz, R. (2017). An NLP-Based Ontology Population for Intentional Structure. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_89
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DOI: https://doi.org/10.1007/978-3-319-53480-0_89
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