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Guizzardi / Suzana Pitangueira Maciel / Gailly

Advances in Conceptual Modeling

ER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers, Salvador, Brazil, November 4-7, 2019, Proceedings

Medium: Buch
ISBN: 978-3-030-34145-9
Verlag: Springer International Publishing
Erscheinungstermin: 27.10.2019
Lieferfrist: bis zu 10 Tage

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).


Produkteigenschaften


  • Artikelnummer: 9783030341459
  • Medium: Buch
  • ISBN: 978-3-030-34145-9
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 27.10.2019
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2019
  • Serie: Programming and Software Engineering
  • Produktform: Kartoniert
  • Gewicht: 441 g
  • Seiten: 263
  • Format (B x H x T): 155 x 235 x 16 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.