Advances in conceptual modeling : ER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers, Salvador, Brazil, November 4-7, 2019 : proceedings
著者
書誌事項
Advances in conceptual modeling : ER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers, Salvador, Brazil, November 4-7, 2019 : proceedings
（Lecture notes in computer science, 11787）
Springer, c2019
- : [pbk.]
大学図書館所蔵 件 / 全1件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"This volume contains the proceedings of a number of satellite events held in conjunction with the 38th International Conference on Conceptual Modeling (ER 2019), which took place in the beautiful Salvador, Bahia, Brazil."--Pref
"LNCS sublibrary: SL2 - Programming and software engineering"--T.p. verso
Includes bibliographical references and index
内容説明・目次
内容説明
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).
目次
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.
「Nielsen BookData」 より
