Copying or distributing in print or electronic forms without written permission
of Idea Group Inc. is prohibited.
to represent data stored in a data warehouse by means of labeled graphs. Each object
of the graph (node/edge) has a label composed by the description of the object itself
(the name), and the valid time dimension (the valid time interval). In particular, we
considered and represented the valid time dimension, and gave some examples of the
constraints needed to manage in the correct way the considered time dimension.
References
Abiteboul, S. (1997, January 8-10). Querying semi-structured data. In Proceedings
of the International Conference on Database Theory, Greece (LNCS 1186,
pp. 262-275).
Abiteboul, S., & Buneman, P., & Suciu, D. (2000). Data on the Web: From relations
to semistructured data and XML. Morgan Kaufman.
Amagasa, T., Yoshikawa, M., & Uemura, S. (2001, April 23-24). Realizing temporal
XML repositories using temporal relational databases. In Proceedings
of the Third International Symposium on Cooperative Database Systems and
Applications, Beijing (pp. 63-68).
B?™bel, B., Eder, J., Koncilia, C., Morzy, T., & Wrembel, R. (2004, March). Creation
and management of versions in multiversion data warehouse. In Proceedings
of the 2004 ACM Symposium on Applied Computing, Cyprus (pp. 717-723).
ACM Press.
Bhowmick, S.
Pages:
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541