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A top‐down enriching approach for ontology learning from textConcurrency and Computation: Practice and Experience, 2022, 34 (19), ⟨10.1002/cpe.7036⟩
Journal articles
hal-03974159v1
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A New Automatic Ontology Construction Method Based on Machine Learning TechniquesMEDES '21: International Conference on Management of Digital EcoSystems, Nov 2021, Virtual Event Tunisia, Tunisia. pp.57-61, ⟨10.1145/3444757.3485111⟩
Conference papers
hal-03434553v1
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S-LDA: Documents Classification Enrichment for Information Retrieval1653, Springer International Publishing, pp.687-699, 2022, Communications in Computer and Information Science, ⟨10.1007/978-3-031-16210-7_56⟩
Proceedings
hal-03974153v1
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LDA+: An Extended LDA Model for Topic Hierarchy and Discovery1716, Springer Nature Singapore, pp.14-26, 2022, Communications in Computer and Information Science, ⟨10.1007/978-981-19-8234-7_2⟩
Proceedings
hal-03974152v1
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Learn2ConstructMEDES '21: International Conference on Management of Digital EcoSystems, Nov 2021, Virtual Event Tunisia, Tunisia. pp.49-56, ⟨10.1145/3444757.3485110⟩
Conference papers
hal-03434549v1
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LEOnto+: a scalable ontology enrichment approachWorld Wide Web, 2022, 25 (6), pp.2347-2378. ⟨10.1007/s11280-021-00997-x⟩
Journal articles
hal-03974150v1
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A Flexible Semantic Integration Framework for Fully-integrated EHR based on FHIR Standard12th International Conference on Agents and Artificial Intelligence, Feb 2020, Valletta, Malta. pp.684-691, ⟨10.5220/0008981506840691⟩
Conference papers
hal-03434579v1
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