| Alaska: A flexible benchmark for data integration tasks V Crescenzi, A De Angelis, D Firmani, M Mazzei, P Merialdo, F Piai, ... arXiv preprint arXiv:2101.11259, 2021 | 19 | 2021 |
| Fine-grained semantic type discovery for heterogeneous sources using clustering F Piai, P Atzeni, P Merialdo, D Srivastava The VLDB Journal 32 (2), 305-324, 2023 | 6 | 2023 |
| Big Data Integration for Product Specifications. L Barbosa, V Crescenzi, XL Dong, P Merialdo, F Piai, D Qiu, Y Shen, ... IEEE Data Eng. Bull. 41 (2), 71-81, 2018 | 5 | 2018 |
| Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests A De Angelis, M Mazzei, F Piai, P Merialdo, G Simonini, L Zecchini, ... ACM SIGMOD Record 52 (2), 43-47, 2023 | | 2023 |
| Instance-level attribute alignment for heterogeneous product sources F Piai Università degli studi Roma Tre, 2020 | | 2020 |
| Lessons Learned and Research Agenda for Big Data Integration of Product Specifications (Discussion Paper) L Barbosa, V Crescenzi, XL Dong, P Merialdo, F Piai, D Qiu, Y Shen, ... | | |
Paolo MerialdoProfessor, Università Roma TreEmail verificata su uniroma3.it
Paolo MerialdoProfessor, Università Roma TreEmail verificata su uniroma3.it