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portada Research Challenges in Information Science: 16th International Conference, Rcis 2022, Barcelona, Spain, May 17-20, 2022, Proceedings
Type
Physical Book
Publisher
Language
Inglés
Pages
828
Format
Paperback
Dimensions
23.4 x 15.6 x 4.3 cm
Weight
1.17 kg.
ISBN13
9783031057595

Research Challenges in Information Science: 16th International Conference, Rcis 2022, Barcelona, Spain, May 17-20, 2022, Proceedings

Guizzardi, Renata ; Ralyté, Jolita ; Franch, Xavier (Author) · Springer · Paperback

Research Challenges in Information Science: 16th International Conference, Rcis 2022, Barcelona, Spain, May 17-20, 2022, Proceedings - Guizzardi, Renata ; Ralyté, Jolita ; Franch, Xavier

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Synopsis "Research Challenges in Information Science: 16th International Conference, Rcis 2022, Barcelona, Spain, May 17-20, 2022, Proceedings"

This book constitutes the proceedings of the 16th International Conference on Research Challenges in Information Sciences, RCIS 2022, which took place in Barcelona, Spain, during May 17-20, 2022. It focused on the special theme "Ethics and Trustworthiness in Information Science". The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 35 full papers presented in this volume were carefully reviewed and selected from a total 100 submissions. The 18 Forum papers are based on 11 Forum submissions, from which 5 were selected, and the remaining 13 were transferred from the regular submissions. The 6 Doctoral Consortium papers were selected from 10 submissions to the consortium. The contributions were organized in topical sections named: Data Science and Data Management; Information Search and Analysis; Business Process Management; Business Process Mining; Digital Transformation and Smart Life; Conceptual Modelling and Ontologies; Requirements Engineering; Model-Driven Engineering; Machine Learning Applications. In addition, two-page summaries of the tutorials can be found in the back matter.

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