CUTRONA VINCENZO

Ciavotta, M., Cutrona, V., De Paoli, F., Nikolov, N., Palmonari, M., Roman, D. (2022). Supporting Semantic Data Enrichment at Scale. In E. Curry, S. Auer, A.J. Berre, A. Metzger, M.S. Perez, S. Zillner (a cura di), Technologies and Applications for Big Data Value (pp. 19-39). Cham : Springer [10.1007/978-3-030-78307-5_2]. Detail

(2021). Semantic Table Annotation for Large-Scale Data Enrichment. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2021). Detail

Ciavotta, M., Cutrona, V., DE PAOLI, F., Palmonari, M., Spahiu, B. (2021). BEEO: Semantic Support for Event-based Data Analytics. In SEMANTIC WEB - ISWC 2021 (pp.580-596). GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND : Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-88361-4_34]. Detail

Cutrona, V., Puleri, G., Bianchi, F., Palmonari, M. (2021). NEST: Neural Soft Type Constraints to Improve Entity Linking in Tables. In Further with Knowledge Graphs (pp.29-43). IOS Press [10.3233/SSW210033]. Detail

Cutrona, V., Bianchi, F., Jiménez-Ruiz, E., Palmonari, M. (2020). Tough Tables: Carefully Evaluating Entity Linking for Tabular Data. In 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part II (pp.328-343) [10.1007/978-3-030-62466-8_21]. Detail