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Graphes de Connaissances et Ontologie pour la Representation de Données Immobilières Issues d'Annonces en Texte Libre.

, , and . IC, page 21-26. PFIA, (2023)

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Geospatial Knowledge in Housing Advertisements: Capturing and Extracting Spatial Information from Text., , and . K-CAP, page 41-48. ACM, (2021)Mining RDF Data of COVID-19 Scientific Literature for Interesting Association Rules., and . WI/IAT, page 145-152. IEEE, (2020)Graphes de Connaissances et Ontologie pour la Representation de Données Immobilières Issues d'Annonces en Texte Libre., , and . IC, page 21-26. PFIA, (2023)Fuzzy representation of vague spatial descriptions in real estate advertisements., , and . LocalRec@SIGSPATIAL, page 7:1-7:4. ACM, (2022)Studying Urban Space from Textual Data: Toward a Methodological Protocol to Extract Geographic Knowledge from Real Estate Ads., , , and . ICCSA (Workshops 2), volume 13378 of Lecture Notes in Computer Science, page 520-537. Springer, (2022)Qualifying and quantifying uncertainty of geolocation information extracted from french real estated ads. (Localisation sur le territoire et prise en compte de l'incertitude lors de l'extraction des caractéristiques de biens immobiliers à partir d'annonces).. Côte d'Azur University, Nice, France, (2024)ARViz: Interactive Visualization of Association Rules for RDF Data Exploration., , , , , and . IV, page 13-20. IEEE, (2021)A Comparative Study of Text Representations for French Real-Estate Classified Advertisements Information Extraction., and . ENIGMA@KR, volume 3495 of CEUR Workshop Proceedings, page 55-63. CEUR-WS.org, (2023)