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437 results on '"Palmonari Matteo"'

51. CroSeR: Cross-language Semantic Retrieval of Open Government Data

Author

Narducci, Fedelucio, Palmonari, Matteo, Semeraro, Giovanni, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, de Rijke, Maarten, editor, Kenter, Tom, editor, de Vries, Arjen P., editor, Zhai, ChengXiang, editor, de Jong, Franciska, editor, Radinsky, Kira, editor, and Hofmann, Katja, editor

Published
2014
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53. Cross-Language Semantic Retrieval and Linking of E-Gov Services

Author

Narducci, Fedelucio, Palmonari, Matteo, Semeraro, Giovanni, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Alani, Harith, editor, Kagal, Lalana, editor, Fokoue, Achille, editor, Groth, Paul, editor, Biemann, Chris, editor, Parreira, Josiane Xavier, editor, Aroyo, Lora, editor, Noy, Natasha, editor, Welty, Chris, editor, and Janowicz, Krzysztof, editor

Published
2013
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54. The AgreementMakerLight Ontology Matching System

Author

Faria, Daniel, Pesquita, Catia, Santos, Emanuel, Palmonari, Matteo, Cruz, Isabel F., Couto, Francisco M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Meersman, Robert, editor, Panetto, Hervé, editor, Dillon, Tharam, editor, Eder, Johann, editor, Bellahsene, Zohra, editor, Ritter, Norbert, editor, De Leenheer, Pieter, editor, and Dou, Deijing, editor

Published
2013
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55. On the Diversity and Availability of Temporal Information in Linked Open Data

Author

Rula, Anisa, Palmonari, Matteo, Harth, Andreas, Stadtmüller, Steffen, Maurino, Andrea, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Cudré-Mauroux, Philippe, editor, Heflin, Jeff, editor, Sirin, Evren, editor, Tudorache, Tania, editor, Euzenat, Jérôme, editor, Hauswirth, Manfred, editor, Parreira, Josiane Xavier, editor, Hendler, Jim, editor, Schreiber, Guus, editor, Bernstein, Abraham, editor, and Blomqvist, Eva, editor

Published
2012
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56. Automatic Configuration Selection Using Ontology Matching Task Profiling

Author

Cruz, Isabel F., Fabiani, Alessio, Caimi, Federico, Stroe, Cosmin, Palmonari, Matteo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Simperl, Elena, editor, Cimiano, Philipp, editor, Polleres, Axel, editor, Corcho, Oscar, editor, and Presutti, Valentina, editor

Published
2012
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60. Rapid Prototyping a Semantic Web Application for Cultural Heritage: The Case of MANTIC

Author

Mantegari, Glauco, Palmonari, Matteo, Vizzari, Giuseppe, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Aroyo, Lora, editor, Antoniou, Grigoris, editor, Hyvönen, Eero, editor, ten Teije, Annette, editor, Stuckenschmidt, Heiner, editor, Cabral, Liliana, editor, and Tudorache, Tania, editor

Published
2010
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63. Effective and Flexible NFP-Based Ranking of Web Services

Author

Palmonari, Matteo, Comerio, Marco, De Paoli, Flavio, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Baresi, Luciano, editor, Chi, Chi-Hung, editor, and Suzuki, Jun, editor

Published
2009
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69. Commonsense Spatial Reasoning for Context–Aware Pervasive Systems

Author

Bandini, Stefania, Mosca, Alessandro, Palmonari, Matteo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Strang, Thomas, editor, and Linnhoff-Popien, Claudia, editor

Published
2005
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70. A Hybrid Logic for Commonsense Spatial Reasoning

Author

Bandini, Stefania, Mosca, Alessandro, Palmonari, Matteo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Bandini, Stefania, editor, and Manzoni, Sara, editor

Published
2005
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71. A Conceptual Framework for Monitoring and Control System Development

Author

Bandini, Stefania, Mosca, Alessandro, Palmonari, Matteo, Sartori, Fabio, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Dough, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Baresi, Luciano, editor, Dustdar, Schahram, editor, Gall, Harald C., editor, and Matera, Maristella, editor

Published
2005
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74. PoliMaR-Web: Multi-source Semantic Matchmaking of Web APIs

Author

Panziera, Luca, Comerio, Marco, Palmonari, Matteo, Batini, Carlo, De Paoli, Flavio, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, X. Sean, editor, Cruz, Isabel, editor, Delis, Alex, editor, and Huang, Guangyan, editor

Published
2012
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76. Supporting Semantic Data Enrichment at Scale

Author

Curry, E, Auer, S, Berre, AJ, Metzger, A, Perez, MS, Zillner, S, Ciavotta, M, Cutrona, V, De Paoli, F, Nikolov, N, Palmonari, M, Roman, D, Ciavotta, Michele, Cutrona, Vincenzo, De Paoli, Flavio, Nikolov, Nikolay, Palmonari, Matteo, Roman, Dumitru, Curry, E, Auer, S, Berre, AJ, Metzger, A, Perez, MS, Zillner, S, Ciavotta, M, Cutrona, V, De Paoli, F, Nikolov, N, Palmonari, M, Roman, D, Ciavotta, Michele, Cutrona, Vincenzo, De Paoli, Flavio, Nikolov, Nikolay, Palmonari, Matteo, and Roman, Dumitru

Abstract

Data enrichment is a critical task in the data preparation process in which a dataset is extended with additional information from various sources to perform analyses or add meaningful context. Facilitating the enrichment process design for data workers and supporting its execution on large datasets are only supported to a limited extent by existing solutions. Harnessing semantics at scale can be a crucial factor in effectively addressing this challenge. This chapter presents a comprehensive approach covering both design- and run-time aspects of tabular data enrichment and discusses our experience in making this process scalable. We illustrate how data enrichment steps of a Big Data pipeline can be implemented via tabular transformations exploiting semantic table annotation methods and discuss techniques devised to support the enactment of the resulting process on large tabular datasets. Furthermore, we present results from experimental evaluations in which we tested the scalability and run-time efficiency of the proposed cloud-based approach, enriching massive datasets with promising performance.

Published
2022

88. EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

Author

Agerri, Rodrigo, Aliprandi, Carlo, Alkhalifa, Rabab, Alzetta, Chiara, Angel, Jason, Anselmi, Guido, Appiah Balaji, Nitin Nikamanth, Aroyehun, Segun Taofeek, Artigas Herold, Maria Fernanda, Attanasio, Giuseppe, Attardi, Giuseppe, Badryzlova, Yulia, Bai, Yang, Baldissin, Gioia, Ballarè, Silvia, Barrón-Cedeño, Alberto, Bartle, Anna-Sophie, Basile, Pierpaolo, Basile, Valerio, Basili, Roberto, Belotti, Federico, Bennici, Mauro, Bharathi, B., Bhuvana, J., Bianchi, Federico, Bisconti, Elia, Bolanos, Luis, Bondielli, Alessandro, Bosco, Cristina, Breazzano, Claudia, Brivio, Matteo, Brunato, Dominique, Cafagna, Michele, Caputo, Annalina, Caselli, Tommaso, Cassotti, Pierluigi, Castañeda, Enrique, Castro Castro, Daniel, Centeno, Roberto, Cercel, Dumitru-Clementin, Cerruti, Massimo, Chandrabose, Aravindan, Chesi, Cristiano, Chiarello, Filippo, Cignarella, Alessandra Teresa, Cimino, Andrea, Comandini, Gloria, Croce, Danilo, Dai, Hongbing, Dascalu, Mihai, Dell’Orletta, Felice, Delmonte, Rodolfo, Deng, Tao, De Francesco, Nazareno, De Martino, Graziella, De Mattei, Lorenzo, Di Buccio, Emanuele, Di Maro, Maria, di Nuovo, Elisa, Di Rosa, Emanuele, dos S.R. da Silva, Adriano, Durante, Alberto, El Abassi, Samer, Espinosa, María S., Fabrizi, Samuel, Fantoni, Gualtiero, Ferilli, Stefano, Ferraccioli, Federico, Fersini, Elisabetta, Finos, Livio, Fiorucci, Stefano, Fontana, Michele, Frenda, Simona, Gambino, Giuseppe, Gatt, Albert, Gelbukh, Alexander, Giorgi, Giulia, Giorgioni, Simone, Girardi, Paolo, Goria, Eugenio, Gregori, Lorenzo, Hoffmann, Julia, Iacono, Maria, Iovine, Andrea, Izzi, Giovanni Luca, Jimenez, Sergio, Kaiser, Jens, Kayalvizhi, S., Kivlichan, Ian, Klaus, Svea, Koceva, Frosina, Kovács, György, Kruschwitz, Udo, Labadie Tamayo, Roberto, Lai, Mirko, Laicher, Severin, Lapesa, Gabriella, Lavergne, Eric, Lebani, Gianluca E., Lees, Alyssa, Lenci, Alessandro, Leonardelli, Elisa, Li, Hongling, Liakata, Maria, Lovetere, Marco, Madonna, Domenico, Massidda, Riccardo, Mattei, Lorenzo De, Mauri, Caterina, Mele, Francesco, Melucci, Massimo, Menini, Stefano, Miaschi, Alessio, Miliani, Martina, Moggio, Alessio, Montagnani, Matteo, Montefinese, Maria, Montemagni, Simonetta, Monti, Johanna, Moraca, Maurizio, Moretti, Giovanni, Morra, Simone, Murphy, Killian, Muti, Arianna, Nakov, Preslav, Nisioi, Sergiu, Nissim, Malvina, Nozza, Debora, Occhipinti, Daniela, Ortega Bueno, Reynier, Ou, Xiaozhi, Palmonari, Matteo, Parizzi, Andrea, Pascucci, Antonio, Passaro, Lucia C., Pastor, Eliana, Patti, Viviana, Pirrone, Roberto, Polignano, Marco, Politi, Marcello, Pont, Mattia Da, Pražák, Ondřej, Přibáň, Pavel, Proisl, Thomas, Puccetti, Giovanni, Radicioni, Daniele P., Rama, Ilir, Rambelli, Giulia, Ravelli, Andrea Amelio, Rodrigo, Alvaro, Rodriguez-Diaz, Carlos A., Rodriguez Cisnero, Mariano Jason, Roman, Norton T., Roman, Norton Trevisan, Rossmann, Daniela, Rosso, Paolo, Rotaru, Armand Stefan, Rubino, Edoardo, Russo, Irene, Sabella, Gianluca, Saini, Rajkumar, Salman, Samir, Sangati, Federico, Sanguinetti, Manuela, Sarti, Gabriele, Schlechtweg, Dominik, Schulte im Walde, Sabine, Sciandra, Andrea, Setpal, Jinen, Siciliani, Lucia, Solari, Dario, Sorensen, Jeffrey, Sorgente, Antonio, Sprugnoli, Rachele, Stranisci, Marco, Tamburini, Fabio, Taylor, Stephen, Tesei, Andrea, Thenmozhi, D., Tonelli, Sara, Torre, Ilaria, Tsakalidis, Adam, Varvara, Rossella, Venturi, Giulia, Vettigli, Giuseppe, Vlad, George-Alexandru, Wang, Benyou, Zaharia, George-Eduard, Zamparelli, Roberto, Zubiaga, Arkaitz, Basile, Valerio, Croce, Danilo, Maro, Maria, and Passaro, Lucia C.

Subjects
Language & Linguistics, Automatic Misogyny Identification, AlBERTo, BERT Model, Language Game ``La Ghigliottina'', MEME management, EVALITA, Convolutional Neural Network, LAN000000, Hate Speech Detection, CBX, linguistica computazionale, Misogyny on Twitter Posts, COVID-19 Infodemic, Multimodal Meme Detection
Abstract

Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it).

Published
2021

90. Semantic Table Annotation for Large-Scale Data Enrichment

Author

Cutrona, V, PALMONARI, MATTEO LUIGI, VIZZARI, GIUSEPPE, CUTRONA, VINCENZO, Cutrona, V, PALMONARI, MATTEO LUIGI, VIZZARI, GIUSEPPE, and CUTRONA, VINCENZO

Abstract

I dati rappresentano uno dei principali asset che creano valore. L'analisi dei dati è diventata una componente cruciale negli studi scientifici e nelle decisioni aziendali negli ultimi anni e ha portato i ricercatori a definire nuove metodologie per rappresentare, gestire e analizzare i dati. Contemporaneamente, la crescita della potenza di calcolo ha permesso l'analisi di enormi quantità di dati, permettendo alle persone di estrarre informazioni utili dai dati raccolti. L'analisi predittiva gioca un ruolo cruciale in molte applicazioni poiché fornisce più conoscenza per supportare le decisioni aziendali. Tra le tecniche statistiche disponibili per supportare l'analitica predittiva, l'apprendimento automatico è una tecnica capace di risolvere molte classi diverse di problemi, e che ha beneficiato maggiormente della crescita della potenza di calcolo. Infatti, negli ultimi anni, sono stati proposti modelli di apprendimento automatico più complessi e accurati, che richiedono una quantità crescente di dati attuali e storici per funzionare al meglio. La richiesta di una quantità così massiccia di dati per addestrare i modelli di apprendimento automatico rappresenta un ostacolo iniziale per i data scientist, perché le informazioni necessarie sono di solito sparse in diversi set di dati che devono essere integrati manualmente. Di conseguenza, l'arricchimento dei dati è diventato un compito critico nel processo di preparazione dei dati, e al giorno d'oggi, la maggior parte dei progetti prevedere un processo di preparazione dei dati costoso in termini di tempo, volto ad arricchire un set di dati principali con informazioni aggiuntive da varie fonti esterne per migliorare la solidità dei modelli addestrati risultanti. Come facilitare la progettazione del processo di arricchimento per gli scienziati dei dati è una sfida, così come sostenere il processo di arricchimento su larga scala. Nonostante la crescente importanza dell'attività di arricchimento, essa è anc, Data are the new oil, and they represent one of the main value-creating assets. Data analytics has become a crucial component in scientific studies and business decisions in the last years and has brought researchers to define novel methodologies to represent, manage, and analyze data. Simultaneously, the growth of computing power enabled the analysis of huge amounts of data, allowing people to extract useful information from collected data. Predictive analytics plays a crucial role in many applications since it provides more knowledge to support business decisions. Among the statistical techniques available to support predictive analytics, machine learning is the technique that features capabilities to solve many different classes of problems, and that has benefited the most from computing power growth. In the last years, more complex and accurate machine learning models have been proposed, requiring an increasing amount of current and historical data to perform the best. The demand for such a massive amount of data to train machine learning models represents an initial hurdle for data scientists because the information needed is usually scattered in different data sets that have to be manually integrated. As a consequence, data enrichment has become a critical task in the data preparation process, and nowadays, most of all the data science projects involve a time-costly data preparation process aimed at enriching a core data set with additional information from various external sources to improve the sturdiness of resulting trained models. How to ease the design of the enrichment process for data scientists is defying and supporting the enrichment process at a large scale. Despite the growing importance of the enrichment task, it is still supported only to a limited extent by existing solutions, delegating most of the effort to the data scientist, who is in charge of both detecting the data sets that contain the needed information, and integrate them. In this thes

Published
2021

91. NEST: Neural Soft Type Constraints to Improve Entity Linking in Tables

Author

Alam, M, Groth, P, de Boer, V, Pellegrini, T, Pandit, HJ, Montiel, E, Rodríguez Doncel, V, McGillivray, B, Meroño-Peñuela, A, Cutrona, V, Puleri, G, Bianchi, F, Palmonari, M, Cutrona, Vincenzo, Puleri, Gianluca, Bianchi, Federico, Palmonari, Matteo, Alam, M, Groth, P, de Boer, V, Pellegrini, T, Pandit, HJ, Montiel, E, Rodríguez Doncel, V, McGillivray, B, Meroño-Peñuela, A, Cutrona, V, Puleri, G, Bianchi, F, Palmonari, M, Cutrona, Vincenzo, Puleri, Gianluca, Bianchi, Federico, and Palmonari, Matteo

Published
2021

92. SWEAT: Scoring Polarization of Topics across Different Corpora

Author

Bianchi, F, Marelli, M, Nicoli, P, Palmonari, M, Bianchi, Federico, Marelli, Marco, Nicoli, Paolo, Palmonari, Matteo, Bianchi, F, Marelli, M, Nicoli, P, Palmonari, M, Bianchi, Federico, Marelli, Marco, Nicoli, Paolo, and Palmonari, Matteo

Abstract

Understanding differences of viewpoints across corpora is a fundamental task for computational social sciences. In this paper, we propose the Sliced Word Embedding Association Test (SWEAT), a novel statistical measure to compute the relative polarization of a topical wordset across two distributional representations. To this end, SWEAT uses two additional wordsets, deemed to have opposite valence, to represent two different poles. We validate our approach and illustrate a case study to show the usefulness of the introduced measure.

Published
2021

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