Conceptual modeling for traditional and spatio-temporal applications

Autori

• Christine Parent

Parametri

• 466 pagine
• 17 ore di lettura

• Computer, IT, programmazione

Maggiori informazioni sul libro

The increasing application of data enriched with spatio-temporal features spans various domains, including environmental management and geo-marketing. However, the development of new spatio-temporal applications faces challenges due to a lack of conceptual design methods that can handle the complexity of spatio-temporal data. This complexity arises from the unique semantics of space and time and the necessity for multiple representations to meet the diverse needs of heterogeneous user communities. Effective conceptual design methods are crucial for facilitating data exchange and reuse, especially in geographical data management where collection costs are high. Unfortunately, current practices in geographical information systems and moving objects databases often overlook these methods. This book demonstrates that a conceptual design approach for spatio-temporal databases is both feasible and accessible. It provides a solid foundation through an extensive discussion of traditional data modeling concepts while focusing on modeling spatial and temporal information. The authors present a comprehensive description of their approach, MADS (Modeling of Application Data with Spatio-temporal features), and survey alternative models from both industry and academia. The text is rich with visual notations and examples, making it invaluable for advanced professionals, researchers, and students in spatio-temporal databases and geographical

Lingua: Inglese

Pubblicato: 2006

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