Temporal database system implementations

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Temporal database system implementations

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ACM SIGMOD Record archive
Volume 24 , Issue 4 (December 1995) table of contents

Pages: 53 - 60

Year of Publication: 1995

ISSN:0163-5808

Author

Michael H. Böhlen

Department of Mathematics and Computer Science, Aalborg University, Fredrik Bajers Vej 7E, DK-9220 Aalborg ø, Denmark

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 41, Citation Count: 13

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ABSTRACT

Although research on temporal database systems has been active for about 20 years, implementations have not appeared until recently. This is one reason why current commercial database systems provide only limited temporal functionality. This paper summarizes extant state of the art of temporal database implementations. Rather than being very specific about each system we have attempted to provide an indication of the functionality together with pointers to additional information. It is hoped that this leads to more efforts pushing the implementation of temporal database systems in the near future.

CITED BY 13

	Betty Salzberg , Vassilis J. Tsotras, Comparison of access methods for time-evolving data, ACM Computing Surveys (CSUR), v.31 n.2, p.158-221, June 1999
	Giedrius Slivinskas , Christian S. Jensen , Richard Thomas Snodgrass, Adaptable query optimization and evaluation in temporal middleware, ACM SIGMOD Record, v.30 n.2, p.127-138, June 2001
	Dong Ho Kim , Keun Ho Ryu , Chee Hang Park, Design and implementation of spatiotemporal database query processing system, Journal of Systems and Software, v.60 n.1, p.37-49, 15 January 2002
	Jun Yang , Huacheng C. Ying , Jennifer Widom, TIP: a temporal extension to Informix, ACM SIGMOD Record, v.29 n.2, p.596, June 2000
	Kjetil Nørvåg, A study of object declustering strategies in parallel temporal object database systems, Information Sciences—Applications: An International Journal, v.146 n.1-4, p.1-27, October 2002
	Giedrius Slivinskas , Christian S. Jensen , Richard Thomas Snodgrass, A Foundation for Conventional and Temporal Query Optimization Addressing Duplicates and Ordering, IEEE Transactions on Knowledge and Data Engineering, v.13 n.1, p.21-49, January 2001
	Christian S. Jensen , Richard Thomas Snodgrass, Temporal Data Management, IEEE Transactions on Knowledge and Data Engineering, v.11 n.1, p.36-44, January 1999
	Lee Keener, Bibliography, Technology supporting business solutions: Advances in computation: Theory and practice, Nova Science Publishers, Inc., Commack, NY, 2003
	Pilho Kim , Ullas Gargi , Ramesh Jain, Event-based multimedia chronicling systems, Proceedings of the 2nd ACM workshop on Continuous archival and retrieval of personal experiences, November 11-11, 2005, Hilton, Singapore
	Ramon Mata-Toledo , Morgan Monger, Implementing a temporal data management system within oracle, Journal of Computing Sciences in Colleges, v.23 n.3, p.76-81, January 2008
	Ramkrishna Chatterjee , Gopalan Arun , Sanjay Agarwal , Ben Speckhard , Ramesh Vasudevan, Using Applications of Data Versioning in Database Application Development, Proceedings of the 26th International Conference on Software Engineering, p.315-325, May 23-28, 2004
	Ali Frihida , Danielle J. Marceau , Marius Thériault, Development of a Temporal Extension to Query Travel Behavior Time Paths Using an Object-Oriented GIS, Geoinformatica, v.8 n.3, p.211-235, September 2004
	Vo Thi Ngoc Chau , Suphamit Chittayasothorn, A temporal object relational SQL language with attribute timestamping in a temporal transparency environment, Data & Knowledge Engineering, v.67 n.3, p.331-361, December, 2008