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 book shows that a conceptual design approach for spatio-temporal databases is both feasible and easy to apprehend. The authors 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 that target support of spatio-temporal modeling.
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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.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 484 pp. Englisch. Bestandsnummer des Verkäufers 9783642067648
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