Search Results for author: Claudia d'Amato

Found 5 papers, 2 papers with code

Semantic Web and Creative AI -- A Technical Report from ISWS 2023

no code implementations30 Jan 2025 Raia Abu Ahmad, Reham Alharbi, Roberto Barile, Martin Böckling, Francisco Bolanos, Sara Bonfitto, Oleksandra Bruns, Irene Celino, Yashrajsinh Chudasama, Martin Critelli, Claudia d'Amato, Giada D'Ippolito, Ioannis Dasoulas, Stefano De Giorgis, Vincenzo De Leo, Chiara Di Bonaventura, Marco Di Panfilo, Daniil Dobriy, John Domingue, Xuemin Duan, Michel Dumontier, Sefika Efeoglu, Ruben Eschauzier, Fakih Ginwa, Nicolas Ferranti, Arianna Graciotti, Philipp Hanisch, George Hannah, Golsa Heidari, Aidan Hogan, Hassan Hussein, Alexane Jouglar, Jan-Christoph Kalo, Manoé Kieffer, Antonis Klironomos, Inês Koch, Weronika Lajewska, Nicolas Lazzari, Mikael Lindekrans, Anna Sofia Lippolis, Majlinda Llugiqi, Eleonora Mancini, Eleonora Marzi, Laura Menotti, Daniela Milon Flores, Soulakshmee Nagowah, Kerstin Neubert, Emetis Niazmand, Ebrahim Norouzi, Beatriz Olarte Martinez, Anouk Michelle Oudshoorn, Andrea Poltronieri, Valentina Presutti, Disha Purohit, Ensiyeh Raoufi, Celian Ringwald, Johanna Rockstroh, Sebastian Rudolph, Harald Sack, Zafar Saeed, Mohammad Javad Saeedizade, Aya Sahbi, Cristian Santini, Aleksandra Simic, Dennis Sommer, Rita Sousa, Mary Ann Tan, Vidyashree Tarikere, Tabea Tietz, Liam Tirpitz, Arnaldo Tomasino, Frank van Harmelen, Joao Vissoci, Caitlin Woods, Bohui Zhang, Xinyue Zhang, Heng Zheng

ISWS 2023 explored various intersections between Semantic Web technologies and creative AI.

Knowledge Graphs Prompt Engineering

A Prompt Engineering Approach and a Knowledge Graph based Framework for Tackling Legal Implications of Large Language Model Answers

no code implementations19 Oct 2024 George Hannah, Rita T. Sousa, Ioannis Dasoulas, Claudia d'Amato

With the recent surge in popularity of Large Language Models (LLMs), there is the rising risk of users blindly trusting the information in the response, even in cases where the LLM recommends actions that have potential legal implications and this may put the user in danger.

Language Modeling Language Modelling +2

Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs

1 code implementation9 Jul 2024 Christian Riefolo, Nicola Fanizzi, Claudia d'Amato

We present and discuss the outcomes of an empirical evaluation which aimed at testing the effectiveness of the models on a number of random classification problems with different ontologies.

Knowledge Graphs

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

no code implementations22 Dec 2020 Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, Marìa Granados Buey, Ismail Harrando, Ivan Heibi, Vitor Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu

Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.

Common Sense Reasoning Knowledge Graphs

Knowledge Graphs

2 code implementations4 Mar 2020 Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann

In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.

Knowledge Graphs

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