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The history of design in Italy is explored in this authoritative and comprehensive work. Design periods include the era of Piranesi, the eclecticism of the 19th century, the futurism of the early 20th century, the dogmatic fascism of the interwar period, the designs of Pier Luigi Nervi and on to the present day.
Includes the work of Caravaggio, Bernini, Matisse, Chagall, Lichtenstein, and Rauschenberg.
The Conference for E-Democracy and Open Government (CeDEM) brings together experts from academia, public authorities, developers and practitioners. The CeDEM proceedings present the essence of academic and practical knowledge on e-democracy and open government. The peer-reviewed academic papers, the reflections, the workshops and the PhD summaries found in these proceedings reveal the newest developments, trends, tools and procedures, and show the many ways that these impact society and democracy.
The sculptor Antonio Canova was the most celebrated artist of a perilously protean and fractious era. In revolutionary and Napoleonic Europe, while other artists bent to the will of the political powers that commissioned their work, producing art in the service of the state, Canova managed to resist both threats and blandishments. Although he held strong opinions on the issues of his day, he avoided direct political or ideological engagement in his sculpture. Christopher M. S. Johns presents the first sustained study of Canova's career in relation to his patrons and contemporary politics. In it he enlarges our understanding of an artist whose work is crucial to the evaluation of European art and political history.
A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.