Definition
A temporal join is a join operation on two temporal relations, in which each tuple has additional attributes indicating a time interval. The temporal join predicates include conventional join predicates as well as a temporal constraint that requires the overlap of the intervals of the two joined tuples. The result of a temporal join is a temporal relation.
Besides binary temporal joins that operate on two temporal relations, there are n-ary temporal joins that operate on more than two temporal relations. Besides temporal overlapping, there are other temporal conditions such as “before” and “after” [1]. This entry will concentrate on the binary temporal joins with overlapping temporal condition since most of the previous work has focused on this kind of joins.
Historical Background
In the past, temporal join operators have been defined in different temporal data models; at times the essentially same operators have even been given different names when defined in different data...
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Allen JF. Maintaining knowledge about temporal intervals. Commun ACM. 1983;26(11):832–43.
Clifford J, Croker A. The historical relational data model (HRDM) and algebra based on lifespans. In: Proceedings of the 3th International Conference on Data Engineering; 1987. p. 528–37.
Clifford J, Croker A. The historical relational data model (HRDM) revisited. In: Tansel A, Clifford J, Gadia S, Jajodia S, Segev A, Snodgrass RT, editors. Temporal databases: theory, design, and implementation. Redwood City: Benjamin/Cummings; 1993. p. 6–27 (Chap. 1).
Clifford J, Tansel AU. On an algebra for historical relational databases: two views. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1985. p. 1–8.
Dyreson CE, Snodgrass RT. Timestamp semantics and representation. Inf Syst. 1993;18(3):143–66.
Gadia SK. A homogeneous relational model and query languages for temporal databases. ACM Trans Database Syst. 1988;13(4):418–48.
Gao D, Snodgrass RT, Jensen CS, Soo MD. Join operations in temporal databases. VLDB J. 2005;14(1):2–29.
Gunadhi H, Segev A. Query processing algorithms for temporal intersection joins. In: Proceedings of the 7th International Conference on Data Engineering; 1991. p. 336–3.
Jensen CS, editor. The consensus glossary of temporal database concepts – February 1998 version. In Etzion O, Jajodia S, Sripadi S, editors. Temporal databases: research and practice. Berlin: Springer; 1998. p. 367–405.
Jensen CS, Snodgrass RT, Soo MD. Extending existing dependency theory to temporal databases. IEEE Trans Knowl Data Eng. 1996;8(4):563–82.
Mishra P, Eich M. Join processing in relational databases. ACM Comput Surv. 1992;24(1):63–113.
Salzberg B, Tsotras VJ. Comparison of access methods for time-evolving data. ACM Comput Surv. 1999;31(2):158–221.
Segev A, Gunadhi H. Event-join optimization in temporal relational databases. In: Proceedings of the 15th International Conference on Very Large Data Bases; 1989. p. 205–15.
Soo MD, Jensen CS, Snodgrass RT. In: Snodgrass RT, editor. An algebra for TSQL2. In the TSQL2 temporal query language. Hingham: Kluwer; 1995. p. 505–46 (Chap. 27).
Zhang D, Tsotras VJ, Seeger B. Efficient temporal join processing using indices. In: Proceedings of the 18th International Conference on Data Engineering; 2002. p. 103.
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Gao, D. (2018). Temporal Joins. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_401
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