Apr. 2, 2001 to Apr. 6, 2001
Jae Young Lee , University of North Florida
Ramez A. Elmasri , University of Texas at Arlington
Abstract: There were many temporal data models proposed in the literature. Most of them are based on relational models. Despite their popularity as design and analysis tools for information systems, ER-based temporal data models do not draw as much attention as those based on relational models did. One reason is that most ER-based temporal data models lack underlying formalism and algebra. If a conceptual model, along with an algebra, is formally defined, we can design a query language that operates on the conceptual model, not on the implementation model. Also, it can provide a basis for a user-friendly, visual query language. In this paper, we present a temporal algebra for an ER-based temporal data model called ITDM (Integrated Temporal Data Model). We define ten algebraic operations and ten temporal aggregate operations. We also define time-series specific operations.
Jae Young Lee, Ramez A. Elmasri, "A Temporal Algebra for an ER-Based Temporal Data Model", ICDE, 2001, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2001, pp. 0033, doi:10.1109/ICDE.2001.914811