Ulteriori informazioni
This open access book presents interdisciplinary and cross-sectoral research results fostering event analytics across languages and communities. It is based on the CLEOPATRA International Training Network, which explored how we analyze and understand the major events that influence and shape our lives and societies, and how they unfold online. This analysis was achieved through various case studies, the development of novel methodologies in fields such as data mining and natural language processing, and the creation of new event-centric datasets aggregated in the Open Event Knowledge Graph (OEKG), a multilingual event-centric knowledge graph that contains more than 1 million events in 15 languages.
The book is divided into three parts, focusing on different aspects of event analytics across languages and communities: Part I Event-centric Multilingual and Multimodal NLP Technologies presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of Part II: Event-centric Multilingual Knowledge Technologies discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally, Part III: Event Analytics covers three selected aspects of multilingual event analytics, namely an analysis of event-centric news spreading barriers, claim detection in social media, and the narrativization of events as a means of presenting event data.
This book is mainly written for researchers in academia and industry, who work on topics like natural language processing, large language models, multilingual information retrieval or event analytics.
Info autore
Ivana Marenzi
is a senior researcher at the L3S Research Center of the Leibniz University of Hannover, Germany. Her main area of research in technology-enhanced learning includes the support of collaborative and lifelong learning. As an educational technologist her main interest is dealing with issues related to the adoption of new technologies in education.
Simon Gottschalk
is a research group leader at the L3S Research Center of the Leibniz University of Hannover. His research focus is on knowledge graphs – their creation, enrichment, application and analysis, and event knowledge graphs specifically – and spatio-temporal data.
Eric Müller-Budack
is a postdoctoral researcher in the Visual Analytics Research Group of the TIB - Leibniz Information Centre for Science and Technology as well as at the L3S Research Center. His main research interests include automatic multimedia indexing, multimedia and multimodal information retrieval, and deep learning for multimedia analysis and retrieval.
Marko Tadić
is Professor at the University of Zagreb, Faculty of Humanities and Social Sciences, Department of Linguistics, and associated member of the Croatian Academy of Sciences and Arts. His interests are in corpus and computational linguistics, language technologies and research infrastructures in Humanities and Social Sciences.
Jane Winters
is Professor of Digital Humanities and Director of the Digital Humanities Research Hub at the School of Advanced Study, University of London. Her research interests include digital history, born-digital archives, the use of social media by cultural heritage institutions, and open access publishing.
Riassunto
This open access book presents interdisciplinary and cross-sectoral research results fostering event analytics across languages and communities. It is based on the CLEOPATRA International Training Network, which explored how we analyze and understand the major events that influence and shape our lives and societies, and how they unfold online. This analysis was achieved through various case studies, the development of novel methodologies in fields such as data mining and natural language processing, and the creation of new event-centric datasets aggregated in the Open Event Knowledge Graph (OEKG), a multilingual event-centric knowledge graph that contains more than 1 million events in 15 languages.
The book is divided into three parts, focusing on different aspects of event analytics across languages and communities:
Part I Event-centric Multilingual and Multimodal NLP Technologies
presents five chapters reporting on recent developments in NLP technologies required to process multilingual information. Next, the four chapters of
Part II: Event-centric Multilingual Knowledge Technologies
discuss technologies integrating multilingual event-centric information in knowledge graphs and providing user access to such information. Finally,
Part III: Event Analytics
covers three selected aspects of multilingual event analytics, namely an analysis of event-centric news spreading barriers, claim detection in social media, and the narrativization of events as a means of presenting event data.
This book is mainly written for researchers in academia and industry, who work on topics like natural language processing, large language models, multilingual information retrieval or event analytics.
