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

no code implementations • 30 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

Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG

1 code implementation • 27 Mar 2023 • Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou, Andreas Ekelhart, Heiko Paulheim, Anna Breit, Artem Revenko, Laura Waltersdorfer, Kheir Eddine Farfar, Sören Auer

In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged that focuses on combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community - Semantic Web Machine Learning (SWeML for short).