sebd2022

The thirtieth edition of the Italian Symposium on Advanced Database Systems (SEBD – Sistemi Evoluti per Basi di Dati) will be jointly organized by ISTI CNR Pisa

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Closing session: #sebd2022 is over! Let's meet again next year in Veneto at #sebd2023

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Chiara Renso: federated cloud solution for transnational mobility data sharing #sebd2022

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Stefano Cirillo: Cross-social network investigation to highlight privacy violations in data sharing activities #sebd2022

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Valerio Bellandi: Gender Discriminatory Language Identification with an Hybrid Algorithm based on Syntactic Rules and Machine Learning #sebd2022

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Davide Azzalini: Accounting for Bossy Users in Context-Aware Group Recommendations #sebd2022

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Chiara Criscuolo: Functional Dependencies to Detect and Mitigate Data Bias #sebd2022

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Tommaso Dolci: Estimating Gender Bias in Sentence Representations #sebd2022

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Tommaso Dolci: A Framework for Refining Recommendations and Compensating Users Over Time #sebd2022

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Last day of #sebd2022. We continue with very exciting presentations.

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Ada Bagozi: A multi-perspective data model for Cyber Physical Production Networks #sebd2022

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Mahsa Shekari: Schreiber and Letizia Tanca – Personalized Context-Aware Recommender System for Travelers #sebd2022

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Enrico Malizia: Explanations for Inconsistency-Tolerant Query Answering under Existential Rules #sebd2022

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Enrico Malizia: Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs #sebd2022

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Enrico Malizia: Query Answer Explanations under Existential Rules #sebd2022

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Paolo Ciaccia: Helping wine lovers with taxonomies #sebd2022

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Vito Walter Anelli: The challenging reproducibility task in Recommender Systems research between traditional and Deep Learning models #sebd2022

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Vito Walter Anelli: Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs

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Elio Masciari: Clustered Majority Judgement #sebd2022

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Emilia Lenzi: SIMBA: Systematic Clustering-Based Methodology To Support Built Environment Analysis

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Domenico Mandaglio: Correlation Clustering: from local to global constraints #sebd2022