Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9381)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): ER: International Conference on Conceptual Modeling
Conference proceedings info: ER 2015.
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Table of contents (47 papers)
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Front Matter
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Business Process and Goal Models
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Front Matter
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Constraints
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Front Matter
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About this book
Keywords
- big data
- data models
- data semantics
- process mining
- uncertainty modeling
- aspect orientation
- behaviors
- business intelligence
- data management
- database semantics
- design science
- domain-based modeling
- knowledge representation
- model-driven analysis
- modeling languages
- modeling of user
- generated content
- multilevel modeling
- ontology engineering
- semantic Web
Editors and Affiliations
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Stockholm University, Kista, Sweden
Paul Johannesson
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National University of Singapore, Singapore, Singapore
Mong Li Lee
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Brigham Young University, Provo, USA
Stephen W. Liddle
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University of Bergen, Bergen, Norway
Andreas L. Opdahl
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Universidad Politécnica de Valencia, Valencia, Spain
Óscar Pastor López
Bibliographic Information
Book Title: Conceptual Modeling
Book Subtitle: 34th International Conference, ER 2015, Stockholm, Sweden, October 19-22, 2015, Proceedings
Editors: Paul Johannesson, Mong Li Lee, Stephen W. Liddle, Andreas L. Opdahl, Óscar Pastor López
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-25264-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-25263-6Published: 08 December 2015
eBook ISBN: 978-3-319-25264-3Published: 09 October 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXI, 614
Number of Illustrations: 187 illustrations in colour
Topics: Information Storage and Retrieval, Pattern Recognition, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery, Database Management