Abstract
In this paper, we present IRAFCA-WN an information retrieval system from textual documents. Our model includes an automatic extraction module of terminology and a module based on formal concept analysis (FCA) guided by WordNet for indexing. The experimental study on a standard test data shows the effectiveness of our hybrid model.
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Fkih, F., Omri, M.N. (2017). Hybridization of an Index Based on Concept Lattice with a Terminology Extraction Model for Semantic Information Retrieval Guided by WordNet. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_15
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DOI: https://doi.org/10.1007/978-3-319-52941-7_15
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