Intelligent Information Systems - CAiSE 2025 Forum and Doctoral Consortium, Vienna, Austria, June 16-20, 2025, Proceedings

This book constitutes the thoroughly refereed proceedings of the CAiSE 2025 Forum and Doctoral Consortium, held as part of the 37th International Conference on Advanced Information Systems Engineering, CAiSE 2025, during June 2025. This year the conference took place under the theme "Bridging Silos". 
The CAiSE Forum is a place for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. It received 23 submissions of which 11 have been accepted; 15 submissions were invited from the CAISE main research track. The overall 26 papers include 20 vision and 6 tool demonstration papers. 
The Doctoral Consortium aims to attract PhD candidates working on foundations, techniques, tools, and applications in the Information Systems Engineering field. The Doctoral Consortium received a total of 27 submissions of which 12 were accepted for presentation. 

Produktdetails

• Mitarbeit: Sergio España (Herausgeber), Sergio España et al (Herausgeber), Selmin Nurcan (Herausgeber), Luise Pufahl (Herausgeber), Kristina Rosenthal (Herausgeber)
• Verlag: Springer, Berlin
• Originaltitel: Intelligent Information Systems
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 14.08.2025
• EAN: 9783031945892
• ISBN: 978-3-0-3194589-2
• Seiten: 330
• Abmessung: 155 mm x 19 mm x 235 mm
• Gewicht: 534 g
• Illustration: XVIII, 330 p. 99 illus., 65 illus. in color.
• Serie: Lecture Notes in Business Information Processing
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Anwendungs-Software; Künstliche Intelligenz, Digital Transformation, Artificial Intelligence, Wirtschaftsmathematik und -informatik, IT-Management, Blockchain, Unternehmensanwendungen, Business Process Management, IT in Business, Information systems, process monitoring, Enterprise Architecture, Computer Application in Administrative Data Processing, Process Mining, Large Language Models, Conceptual modeling, ontologies, model-driven software development, knowledge-based systems