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Conceptual Modeling for Traditional and Spatio-Temporal Applications: The Mads Approach

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Synopses & Reviews

Publisher Comments:

From environmental management to land planning and geo-marketing, the number of application domains that may greatly benefit from using data enriched with spatio-temporal features is expanding very rapidly. Unfortunately, development of new spatio-temporal applications is hampered by the lack of conceptual design methods suited to cope with the additional complexity of spatio-temporal data. This complexity is obviously due to the particular semantics of space and time, but also to the need for multiple representations of the same reality to address the diversity of requirements from highly heterogeneous user communities. Conceptual design methods are also needed to facilitate the exchange and reuse of existing data sets, a must in geographical data management due to the high collection costs of the data. Yet, current practice in areas like geographical information systems or moving objects databases does not include conceptual design methods very well, if at all. This book shows that a conceptual design approach for spatio-temporal databases is both feasible and easy to apprehend. While providing a firm basis through extensive discussion of traditional data modeling concepts, the major focus of the book is on modeling spatial and temporal information. Parent, Spaccapietra and Zimányi provide a detailed and comprehensive description of an approach that fills the gap between application conceptual requirements and system capabilities, covering both data modeling and data manipulation features. The ideas presented summarize several years of research on the characteristics and description of space, time, and perception. In addition to the authors' own data modeling approach, MADS (Modeling of Application Data with Spatio-temporal features), the book also surveys alternative data models and approaches (from industry and academia) that target support of spatio-temporal modeling. The reader will acquire intimate knowledge of both the traditional and innovative features that form a consistent data modeling approach. Visual notations and examples are employed extensively to illustrate the use of the various constructs. Therefore, this book is of major importance and interest to advanced professionals, researchers, and graduate or post-graduate students in the areas of spatio-temporal databases and geographical information systems. "For anyone thinking of doing research in this field, or who is developing a system based on spatio-temporal data, this text is essential reading." (Mike Worboys, U Maine, Orono, ME, USA) "The high-level semantic model presented and validated in this book provides essential guidance to researchers and implementers when improving the capabilities of data systems to serve the actual needs of applications and their users in the temporal and spatial domains that are so prevalent today." (Gio Wiederhold, Stanford U, CA, USA)

Synopsis:

From environmental management to land planning and geo-marketing, the number of application domains that may greatly benefit from using data enriched with spatio-temporal features is expanding very rapidly. This book shows that a conceptual design approach for spatio-temporal databases is both feasible and easy to apprehend. While providing a firm basis through extensive discussion of traditional data modeling concepts, the major focus of the book is on modeling spatial and temporal information.

About the Author

Christine Parent is a full professor, at the Computer ScienceDepartment, University of Burgundy at Dijon, France. She is part-time professor at HEC INFORGE of the University of Lausanne. She got her Ph.D. from the University of Paris VI, in 1987. She has been teaching and researching in data management systems since 1970. She authored many papers in well-known journals and conferences on the development of an extended entity-relationship approach, on schema integration methodologies and spatio-temporal database modeling. She gave several tutorials on these topics and served on many program committees of international conferences. Her current research interests include a cooperative design methodology relying on the integration of existing heterogeneous databases, modeling of spatio-temporal databases, and ontologies. Stefano Spaccapietra is a full professor at the Ecole Polytechnique Fédérale de Lausanne, Switzerland, where he heads the database laboratory. He has been in an academic position all along his career. He got his PhD from the university of Paris VI, in 1978, where he first had his master in computer science in 1969. He moved to the university of Burgundy, Dijon, in 1983 to occupy a professor position at the Institute of Technology. He left Dijon for EPFL in 1988. His current research interests include conceptual modelling, visual user interfaces, ontologies and location-based services. Esteban Zimányi is a Professor of Computer Science at the Engineering Department of the Université Libre de Bruxelles (ULB), Belgium. He started his studies at the Universidad Autónoma de Centro América, Costa Rica. He received the BSc degree and the doctorate degree in computer science from the Faculté des Sciences at the ULB. During 1997, he was a visiting researcher at the Database Laboratory of the Swiss Federal Institute of Technology in Lausanne, Switzerland. His current research interests include conceptual modelling, semantic web, bio-informatics, geographic information systems, and temporal databases.

Table of Contents

Introduction.- The MADS Data Model.- The Risks Management Application.- MADS Data Types.- The MADS Query and Manipulation Languages.- From Conceptual Design to Logical Design.- Related Works.- Conclusion.- Appendix. References.- Glossary.

Product Details

ISBN:
9783642067648
Author:
Parent, Christine
Publisher:
Springer
Author:
Zimanyi, Esteban
Author:
Spaccapietra, Stefano
Location:
Berlin, Heidelberg
Subject:
Database Management - General
Subject:
Conceptual Modeling
Subject:
Data Representation
Subject:
data semantics
Subject:
moving objects data
Subject:
spatio-temporal data
Subject:
Database management
Subject:
Geographical Information Systems/Cartography
Subject:
Computer Applications in Earth Sciences
Subject:
Computer applications
Subject:
Information Systems Applications (incl.Internet) <P>From environmental management to land planning and geo-marketing, the number of application domains that may greatly benefit from using data enriched with spatio-temporal features is expanding very rapid
Subject:
Database design
Subject:
Earth Sciences - General
Subject:
Information Systems Applications (incl.Internet)
Subject:
Computer Science
Subject:
Language, literature and biography
Subject:
Geographical information systems
Subject:
Geography
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2006
Publication Date:
20101109
Binding:
TRADE PAPER
Language:
English
Pages:
484
Dimensions:
235 x 155 mm 726 gr

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Database » Design
Computers and Internet » Internet » Information
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » Software Management
Engineering » Engineering » General Engineering
Science and Mathematics » Geology » General

Conceptual Modeling for Traditional and Spatio-Temporal Applications: The Mads Approach New Trade Paper
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Product details 484 pages Springer - English 9783642067648 Reviews:
"Synopsis" by , From environmental management to land planning and geo-marketing, the number of application domains that may greatly benefit from using data enriched with spatio-temporal features is expanding very rapidly. This book shows that a conceptual design approach for spatio-temporal databases is both feasible and easy to apprehend. While providing a firm basis through extensive discussion of traditional data modeling concepts, the major focus of the book is on modeling spatial and temporal information.
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