Advances in Conceptual Modeling
ER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers, Salvador, Brazil, November 4-7, 2019, Proceedings
Published on 26. October 2019
XXIII, 263 pages
978-3-030-34146-6 (ISBN)
Description
This book constitutes the refereed proceedings of five workshops symposia, held at the 38th International Conference on Conceptual Modeling, ER 2019, in Salvador, Brazil, in November 2019. The 34 papers promote and disseminate research on theories of concepts underlying conceptual modeling, methods and tools for developing and communicating conceptual models, techniques for transforming conceptual models into effective implementations, and the impact of conceptual modeling techniques on databases, business strategies and information systems. The following workshops are included in this volume: Workshop on Conceptual Modeling, Ontologies and Metadata Management for FAIR Data (FAIR), 6th Workshop on Conceptual Modeling in Requirements Engineering and Business Analysis (MREBA), 2nd International Workshop on Empirical Methods in Conceptual Modeling (EmpER), 8th International Workshop on Modeling and Management of Big Data (MoBiD19), and 7th International Workshop on Ontologies andConceptual Modelling (OntoCom).
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XXIII, 263 p. 169 illus., 60 illus. in color.
File size
21,22 MB
ISBN-13
978-3-030-34146-6 (9783030341466)
DOI
10.1007/978-3-030-34146-6
Schweitzer Classification
Other editions
Additional editions
Giancarlo Guizzardi | Frederik Gailly | Rita Suzana Pitangueira Maciel
Advances in Conceptual Modeling
ER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers, Salvador, Brazil, November 4-7, 2019, Proceedings
Book
10/2019
Springer
€53.49
Shipment within 7-9 days
Content
Conceptual Modeling, Ontologies and Metadata Management for FAIR Data.- Conceptual Modeling in Requirements Engineering and Business Analysis.- Empirical Methods in Conceptual Modeling.- Modeling and Management of Big Data.- Ontologies and Conceptual Modelling.
