MantisTable: an Automatic Approach for the Semantic Table Interpretation. - Marco Cremaschi; Roberto Avogadro; David Chieregato (SemTab@ISWC, 2019)

STILTool: A Semantic Table Interpretation evaLuation Tool. - Marco Cremaschi; Alessandra Siano; Roberto Avogadro; Ernesto Jiménez-Ruiz; Andrea Maurino (ESWC (Satellite Events), 2020)

MantisTable SE: an Efficient Approach for the Semantic Table Interpretation. - Marco Cremaschi; Roberto Avogadro; Andrea Barazzetti; David Chieregato (SemTab@ISWC, 2020)

MantisTable V: A novel and efficient approach to Semantic Table Interpretation. - Roberto Avogadro; Marco Cremaschi (SemTab@ISWC, 2021)

A Framework for Quality Assessment of Semantic Annotations of Tabular Data. - Roberto Avogadro; Marco Cremaschi; Ernesto Jiménez-Ruiz; Anisa Rula (ISWC, 2021)

LamAPI: a comprehensive tool for string-based entity retrieval with type-base filters. - Roberto Avogadro; Marco Cremaschi; Fabio D'Adda; Flavio De Paoli; Matteo Palmonari (OM@ISWC, 2022)

s-elBat: A Semantic Interpretation Approach for Messy taBle-s. - Marco Cremaschi; Roberto Avogadro; David Chieregato (SemTab@ISWC, 2022)

MammoTab: A Giant and Comprehensive Dataset for Semantic Table Interpretation. - Mattia Marzocchi; Marco Cremaschi; Riccardo Pozzi; Roberto Avogadro; Matteo Palmonari (SemTab@ISWC, 2022)

Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study. - Iva Krasteva; Dessislava Petrova-Antonova; Flavio De Paoli; Emil Popov Hristov; Milena Borukova; Michele Ciavotta; Roberto Avogadro (IEEE Big Data, 2023)

Estimating Link Confidence for Human-in-the-Loop Table Annotation. - Roberto Avogadro; Michele Ciavotta; Flavio De Paoli; Matteo Palmonari; Dumitru Roman (WI/IAT, 2023)

Koala-UI: An Interactive User Interface for Tabular Data Linking. - Roberto Avogadro; Iroshani Jayawardene; Xiang Ma; Ahmet Soylu; Dumitru Roman (RuleML+RR (Companion), 2024)

Developing Deep Learning Based Intelligent Perception Algorithm for Thickener Equipment Monitoring. - Zuochen Liu; Qingkai Wang; Jiandong Dang; Xiaochun Wang; Kang Li; Roberto Avogadro; Dumitru Roman; Xiang Ma (RuleML+RR (Companion), 2024)

Interactive Enrichment of Tabular Data with SemTUI. - Flavio De Paoli; Roberto Avogadro; Marco Ripamonti; Matteo Palmonari (ISWC (Posters/Demos/Industry), 2024)

TabLinkLLM: An LLM-Based Approach for Entity Linking in Tabular Data. - Iroshani Jayawardene; Roberto Avogadro; Ahmet Soylu; Dumitru Roman (WI/IAT, 2024)

Evaluating Language Models on Entity Disambiguation in Tables. - Federico Belotti; Fabio D'Adda; Marco Cremaschi; Roberto Avogadro; Riccardo Pozzi; Matteo Palmonari (CoRR, 2024)

An interactive approach to semantic enrichment with geospatial data. - Flavio De Paoli; Michele Ciavotta; Roberto Avogadro; Emil Hristov 001; Milena Borukova; Dessislava Petrova-Antonova; Iva Krasteva (Data Knowl. Eng., 2024)

Feature/vector entity retrieval and disambiguation techniques to create a supervised and unsupervised semantic table interpretation approach. - Roberto Avogadro; Fabio D'Adda; Marco Cremaschi (Knowl. Based Syst., 2024)

Towards a Toolkit for Semantic Interoperability in Data Spaces. - An Ngoc Lam; Roberto Avogadro; Francisco Martín-Recuerda; Brian Elvesæter; Xiang Ma; Erik Johan Nystad; Dumitru Roman; Arne J. Berre (ICPS, 2025)

From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories. - Inna Novalija; Dumitru Roman; Federico Belotti; Vladimir Alexiev; Luis Rei; Roberto Avogadro; Babak Khalilvandian; Boyan Bechev; Catalina Chinie; Iulia Ciurea; Janez Brank; Cosmin Udroiu; et al. (IEEE Access, 2025)